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1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 | [2026-01-24 13:25:03,029] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:9359] baseline 0.000GB ()
[2026-01-24 13:25:03,032] [INFO] [axolotl.cli.config.load_cfg:259] [PID:9359] config:
{
"activation_offloading": false,
"adapter": "lora",
"axolotl_config_path": "using_axolotl/lora.yml",
"base_model": "microsoft/Phi-4-mini-instruct",
"base_model_config": "microsoft/Phi-4-mini-instruct",
"batch_size": 8,
"bf16": true,
"capabilities": {
"bf16": true,
"compute_capability": "sm_86",
"fp8": false,
"n_gpu": 1,
"n_node": 1
},
"chat_template": "tokenizer_default",
"context_parallel_size": 1,
"dataloader_num_workers": 1,
"dataloader_pin_memory": true,
"dataloader_prefetch_factor": 256,
"dataset_num_proc": 9,
"datasets": [
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "DannyAI/African-History-QA-Dataset",
"split": "train",
"trust_remote_code": false,
"type": "alpaca_chat.load_qa"
}
],
"ddp": false,
"device": "cuda:0",
"dion_rank_fraction": 1.0,
"dion_rank_multiple_of": 1,
"env_capabilities": {
"torch_version": "2.9.1"
},
"eval_batch_size": 2,
"eval_causal_lm_metrics": [
"sacrebleu",
"comet",
"ter",
"chrf"
],
"eval_max_new_tokens": 128,
"eval_sample_packing": false,
"eval_steps": 50,
"eval_strategy": "steps",
"eval_table_size": 0,
"experimental_skip_move_to_device": true,
"fp16": false,
"gradient_accumulation_steps": 4,
"gradient_checkpointing": false,
"hub_model_id": "DannyAI/phi4_lora_axolotl",
"include_tkps": true,
"is_falcon_derived_model": false,
"is_llama_derived_model": false,
"is_mistral_derived_model": false,
"learning_rate": 2e-05,
"lisa_layers_attribute": "model.layers",
"load_best_model_at_end": false,
"load_in_4bit": false,
"load_in_8bit": false,
"local_rank": 0,
"logging_steps": 5,
"lora_alpha": 16,
"lora_dropout": 0.05,
"lora_r": 8,
"lora_target_modules": [
"q_proj",
"v_proj",
"k_proj",
"o_proj"
],
"loraplus_lr_embedding": 1e-06,
"lr_scheduler": "cosine",
"max_steps": 650,
"mean_resizing_embeddings": false,
"micro_batch_size": 2,
"model_config_type": "phi3",
"num_epochs": 1.0,
"optimizer": "adamw_torch",
"otel_metrics_host": "localhost",
"otel_metrics_port": 8000,
"output_dir": "./phi4_african_history_lora_out",
"pad_to_sequence_len": true,
"pretrain_multipack_attn": true,
"profiler_steps_start": 0,
"qlora_sharded_model_loading": false,
"ray_num_workers": 1,
"remove_unused_columns": false,
"resources_per_worker": {
"GPU": 1
},
"sample_packing": true,
"sample_packing_bin_size": 200,
"sample_packing_group_size": 100000,
"save_only_model": false,
"save_safetensors": true,
"save_steps": 100,
"save_strategy": "steps",
"sequence_len": 2048,
"shuffle_before_merging_datasets": false,
"shuffle_merged_datasets": true,
"skip_prepare_dataset": false,
"streaming_multipack_buffer_size": 10000,
"strict": false,
"tensor_parallel_size": 1,
"test_datasets": [
{
"message_property_mappings": {
"content": "content",
"role": "role"
},
"path": "DannyAI/African-History-QA-Dataset",
"split": "validation",
"trust_remote_code": false,
"type": "alpaca_chat.load_qa"
}
],
"tiled_mlp_use_original_mlp": true,
"tokenizer_config": "microsoft/Phi-4-mini-instruct",
"tokenizer_save_jinja_files": true,
"tokenizer_type": "AutoTokenizer",
"torch_dtype": "torch.bfloat16",
"train_on_inputs": false,
"trl": {
"log_completions": false,
"mask_truncated_completions": false,
"ref_model_mixup_alpha": 0.9,
"ref_model_sync_steps": 64,
"scale_rewards": true,
"sync_ref_model": false,
"use_vllm": false,
"vllm_server_host": "0.0.0.0",
"vllm_server_port": 8000
},
"type_of_model": "AutoModelForCausalLM",
"use_otel_metrics": false,
"use_ray": false,
"use_wandb": true,
"val_set_size": 0.0,
"vllm": {
"device": "auto",
"dtype": "auto",
"gpu_memory_utilization": 0.9,
"host": "0.0.0.0",
"port": 8000
},
"wandb_name": "phi4_lora_axolotl",
"wandb_project": "phi4_african_history",
"warmup_steps": 20,
"weight_decay": 0.0,
"world_size": 1
}
[2026-01-24 13:25:04,559] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:9359] EOS: 199999 / <|endoftext|>
[2026-01-24 13:25:04,559] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:9359] BOS: 199999 / <|endoftext|>
[2026-01-24 13:25:04,559] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:9359] PAD: 199999 / <|endoftext|>
[2026-01-24 13:25:04,559] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:9359] UNK: 199999 / <|endoftext|>
[2026-01-24 13:25:04,560] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:481] [PID:9359] Unable to find prepared dataset in last_run_prepared/89363fb9438bda5d225c172d067e1ebf
[2026-01-24 13:25:04,560] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:9359] Loading raw datasets...
[2026-01-24 13:25:04,560] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:9359] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
[2026-01-24 13:25:06,680] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:9359] Loading dataset: DannyAI/African-History-QA-Dataset with base_type: alpaca_chat.load_qa and prompt_style: None
[2026-01-24 13:25:06,878] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:224] [PID:9359] min_input_len: 52
[2026-01-24 13:25:06,879] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:226] [PID:9359] max_input_len: 179
Dropping Long Sequences (>2048) (num_proc=9): 0%| | 0/2114 [00:00<?, ?
Dropping Long Sequences (>2048) (num_proc=9): 11%| | 235/2114 [00:00<00:
Dropping Long Sequences (>2048) (num_proc=9): 100%|β| 2114/2114 [00:00<00
Drop Samples with Zero Trainable Tokens (num_proc=9): 0%| | 0/2114 [00:
Drop Samples with Zero Trainable Tokens (num_proc=9): 11%| | 235/2114 [0
Drop Samples with Zero Trainable Tokens (num_proc=9): 100%|β| 2114/2114 [
Drop Samples with Zero Trainable Tokens (num_proc=9): 100%|β| 2114/2114 [
Add position_id column (Sample Packing) (num_proc=9): 0%| | 0/2114 [00:
Add position_id column (Sample Packing) (num_proc=9): 11%| | 235/2114 [0
Add position_id column (Sample Packing) (num_proc=9): 100%|β| 2114/2114 [
Saving the dataset (0/8 shards): 0%| | 0/2114 [00:00<?, ? examples/s]
Saving the dataset (0/8 shards): 13%|β| 265/2114 [00:00<00:01, 1232.71 e
Saving the dataset (1/8 shards): 13%|β| 265/2114 [00:00<00:01, 1232.71 e
Saving the dataset (2/8 shards): 25%|β| 529/2114 [00:00<00:01, 1232.71 e
Saving the dataset (3/8 shards): 38%|β| 794/2114 [00:00<00:01, 1232.71 e
Saving the dataset (4/8 shards): 50%|β| 1058/2114 [00:00<00:00, 1232.71
Saving the dataset (5/8 shards): 63%|β| 1322/2114 [00:00<00:00, 1232.71
Saving the dataset (6/8 shards): 75%|β| 1586/2114 [00:00<00:00, 1232.71
Saving the dataset (7/8 shards): 88%|β| 1850/2114 [00:00<00:00, 1232.71
Saving the dataset (8/8 shards): 100%|β| 2114/2114 [00:00<00:00, 1232.71
Saving the dataset (8/8 shards): 100%|β| 2114/2114 [00:00<00:00, 5928.96
[2026-01-24 13:25:09,029] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:481] [PID:9359] Unable to find prepared dataset in last_run_prepared/1affaed26259409613b775fd6050f3a2
[2026-01-24 13:25:09,030] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:9359] Loading raw datasets...
[2026-01-24 13:25:09,030] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:9359] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
[2026-01-24 13:25:10,146] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:9359] Loading dataset: DannyAI/African-History-QA-Dataset with base_type: alpaca_chat.load_qa and prompt_style: None
[2026-01-24 13:25:10,349] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:224] [PID:9359] min_input_len: 54
[2026-01-24 13:25:10,349] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:226] [PID:9359] max_input_len: 169
Dropping Long Sequences (>2048) (num_proc=9): 0%| | 0/200 [00:00<?, ? e
Dropping Long Sequences (>2048) (num_proc=9): 12%| | 23/200 [00:00<00:01
Dropping Long Sequences (>2048) (num_proc=9): 100%|β| 200/200 [00:00<00:0
Drop Samples with Zero Trainable Tokens (num_proc=9): 0%| | 0/200 [00:0
Drop Samples with Zero Trainable Tokens (num_proc=9): 12%| | 23/200 [00:
Drop Samples with Zero Trainable Tokens (num_proc=9): 100%|β| 200/200 [00
Add position_id column (Sample Packing) (num_proc=9): 0%| | 0/200 [00:0
Add position_id column (Sample Packing) (num_proc=9): 12%| | 23/200 [00:
Add position_id column (Sample Packing) (num_proc=9): 100%|β| 200/200 [00
Saving the dataset (0/1 shards): 0%| | 0/200 [00:00<?, ? examples/s]
Saving the dataset (0/1 shards): 100%|β| 200/200 [00:00<00:00, 1565.14 ex
Saving the dataset (1/1 shards): 100%|β| 200/200 [00:00<00:00, 1565.14 ex
Saving the dataset (1/1 shards): 100%|β| 200/200 [00:00<00:00, 905.63 exa
[2026-01-24 13:25:12,212] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:417] [PID:9359] total_num_tokens: 205_770
[2026-01-24 13:25:12,246] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:435] [PID:9359] `total_supervised_tokens: 94_469`
[2026-01-24 13:25:12,274] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:9359] Using single process for pack_parallel, running sequentially.
[2026-01-24 13:25:13,265] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:9359] Using single process for pack_parallel, running sequentially.
[2026-01-24 13:25:13,472] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.20749449729919434
[2026-01-24 13:25:13,473] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:9359] Using single process for pack_parallel, running sequentially.
[2026-01-24 13:25:13,678] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.20551633834838867
[2026-01-24 13:25:13,679] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:9359] Using single process for pack_parallel, running sequentially.
[2026-01-24 13:25:13,870] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.19202852249145508
[2026-01-24 13:25:13,871] [DEBUG] [axolotl.utils.samplers.multipack.pack_parallel:177] [PID:9359] Using single process for pack_parallel, running sequentially.
[2026-01-24 13:25:14,081] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.21112775802612305
[2026-01-24 13:25:14,120] [INFO] [axolotl.utils.samplers.multipack.calc_min_len:438] [PID:9359] gather_len_batches: [51]
[2026-01-24 13:25:14,120] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:494] [PID:9359] data_loader_len: 12
[2026-01-24 13:25:14,120] [INFO] [axolotl.utils.trainer.calc_sample_packing_eff_est:510] [PID:9359] sample_packing_eff_est across ranks: [0.9850356158088235]
[2026-01-24 13:25:14,120] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:522] [PID:9359] sample_packing_eff_est: 0.99
[2026-01-24 13:25:14,120] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:533] [PID:9359] total_num_steps: 12
[2026-01-24 13:25:14,121] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:9359] Maximum number of steps set at 12
[2026-01-24 13:25:14,169] [DEBUG] [axolotl.train.setup_model_and_tokenizer:70] [PID:9359] loading tokenizer... microsoft/Phi-4-mini-instruct
[2026-01-24 13:25:15,574] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:9359] EOS: 199999 / <|endoftext|>
[2026-01-24 13:25:15,574] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:9359] BOS: 199999 / <|endoftext|>
[2026-01-24 13:25:15,574] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:9359] PAD: 199999 / <|endoftext|>
[2026-01-24 13:25:15,574] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:9359] UNK: 199999 / <|endoftext|>
[2026-01-24 13:25:15,574] [DEBUG] [axolotl.train.setup_model_and_tokenizer:82] [PID:9359] Loading model
[2026-01-24 13:25:15,776] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:9359] Patched Trainer.evaluation_loop with nanmean loss calculation
[2026-01-24 13:25:15,781] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:9359] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
[2026-01-24 13:25:15,782] [INFO] [axolotl.loaders.patch_manager._apply_multipack_patches:345] [PID:9359] Applying multipack dataloader patch for sample packing...
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|βββββββββββ| 2/2 [00:00<00:00, 66.49it/s]
[2026-01-24 13:25:17,426] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:347] [PID:9359] Converting modules to torch.bfloat16
[2026-01-24 13:25:18,248] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:9359] Memory usage after model load 0.000GB ()
trainable params: 1,572,864 || all params: 3,837,594,624 || trainable%: 0.0410
[2026-01-24 13:25:18,300] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:9359] after adapters 0.000GB ()
[2026-01-24 13:25:26,968] [INFO] [axolotl.train.save_initial_configs:413] [PID:9359] Pre-saving adapter config to ./phi4_african_history_lora_out...
[2026-01-24 13:25:26,968] [INFO] [axolotl.train.save_initial_configs:417] [PID:9359] Pre-saving tokenizer to ./phi4_african_history_lora_out...
[2026-01-24 13:25:27,149] [INFO] [axolotl.train.save_initial_configs:422] [PID:9359] Pre-saving model config to ./phi4_african_history_lora_out...
[2026-01-24 13:25:27,153] [INFO] [axolotl.train.execute_training:212] [PID:9359] Starting trainer...
[2026-01-24 13:25:28,505] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.47576427459716797
[2026-01-24 13:25:28,983] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.477489709854126
[2026-01-24 13:25:29,462] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.47864699363708496
[2026-01-24 13:25:29,967] [DEBUG] [axolotl.utils.samplers.multipack.__len__:462] [PID:9359] generate_batches time: 0.5052089691162109
[2026-01-24 13:25:29,968] [INFO] [axolotl.utils.samplers.multipack.calc_min_len:438] [PID:9359] gather_len_batches: [51]
[34m[1mwandb[0m: [wandb.login()] Loaded credentials for https://api.wandb.ai from /root/.netrc.
[34m[1mwandb[0m: Currently logged in as: [33mdannyai[0m ([33mdannyai-danny-the-analyst[0m) to [32mhttps://api.wandb.ai[0m. Use [1m`wandb login --relogin`[0m to force relogin
[34m[1mwandb[0m: [38;5;178mβ’Ώ[0m Waiting for wandb.init()...
[Am[2K
[34m[1mwandb[0m: [38;5;178mβ£»[0m setting up run 80snmd5o (0.2s)
[Am[2K
[34m[1mwandb[0m: [38;5;178mβ£½[0m setting up run 80snmd5o (0.2s)
[Am[2K
[34m[1mwandb[0m: Tracking run with wandb version 0.24.0
[34m[1mwandb[0m: Run data is saved locally in [35m[1m/workspace/wandb/run-20260124_132530-80snmd5o[0m
[34m[1mwandb[0m: Run [1m`wandb offline`[0m to turn off syncing.
[34m[1mwandb[0m: Syncing run [33mphi4_lora_axolotl[0m
[34m[1mwandb[0m: βοΈ View project at [34m[4mhttps://wandb.ai/dannyai-danny-the-analyst/phi4_african_history[0m
[34m[1mwandb[0m: π View run at [34m[4mhttps://wandb.ai/dannyai-danny-the-analyst/phi4_african_history/runs/80snmd5o[0m
[34m[1mwandb[0m: Detected [huggingface_hub.inference] in use.
[34m[1mwandb[0m: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script.
[34m[1mwandb[0m: For more information, check out the docs at: https://weave-docs.wandb.ai/
[34m[1mwandb[0m: [33mWARNING[0m Saving files without folders. If you want to preserve subdirectories pass base_path to wandb.save, i.e. wandb.save("/mnt/folder/file.h5", base_path="/mnt")
[34m[1mwandb[0m: [33mWARNING[0m Symlinked 1 file into the W&B run directory; call wandb.save again to sync new files.
[2026-01-24 13:25:33,022] [INFO] [axolotl.utils.callbacks.on_train_begin:757] [PID:9359] The Axolotl config has been saved to the WandB run under files.
0%| | 0/650 [00:00<?, ?it/s][2026-01-24 13:25:33,028] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
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33%|ββββββββββββ | 33/100 [00:16<00:35, 1.90it/s][A
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68%|ββββββββββββββββββββββββ | 68/100 [00:34<00:16, 1.93it/s][A
69%|βββββββββββββββββββββββββ | 69/100 [00:35<00:16, 1.89it/s][A
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[A{'eval_loss': 2.118363380432129, 'eval_runtime': 55.7531, 'eval_samples_per_second': 3.587, 'eval_steps_per_second': 1.794, 'eval_ppl': 8.31751, 'memory/max_active (GiB)': 14.82, 'memory/max_allocated (GiB)': 14.82, 'memory/device_reserved (GiB)': 15.37, 'epoch': 0}
0%| | 0/650 [00:55<?, ?it/s]
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:51<00:00, 1.85it/s][A
[A
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1%|β | 4/650 [01:30<2:52:35, 16.03s/it]
1%|β | 5/650 [01:38<2:22:09, 13.22s/it]
{'loss': 6.0638, 'grad_norm': 0.5395623445510864, 'learning_rate': 4.000000000000001e-06, 'ppl': 430.00636, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 215.98207092285156, 'tokens/total': 81920, 'tokens/trainable': 36915, 'epoch': 0.39}
1%|β | 5/650 [01:38<2:22:09, 13.22s/it]
1%|β | 6/650 [01:47<2:03:51, 11.54s/it]
1%|β | 7/650 [01:55<1:52:10, 10.47s/it]
1%|β | 8/650 [02:03<1:44:28, 9.76s/it]
1%|β | 9/650 [02:11<1:39:17, 9.29s/it]
2%|β | 10/650 [02:20<1:35:45, 8.98s/it]
{'loss': 6.0041, 'grad_norm': 0.5103967785835266, 'learning_rate': 9e-06, 'ppl': 405.08625, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 218.7120819091797, 'tokens/total': 163840, 'tokens/trainable': 74494, 'epoch': 0.78}
2%|β | 10/650 [02:20<1:35:45, 8.98s/it]
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2%|β | 14/650 [02:52<1:30:40, 8.55s/it]
2%|β | 15/650 [03:01<1:29:34, 8.46s/it]
{'loss': 6.0541, 'grad_norm': 0.6589650511741638, 'learning_rate': 1.4e-05, 'ppl': 425.85546, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 198.2006378173828, 'tokens/total': 241664, 'tokens/trainable': 109022, 'epoch': 1.16}
2%|β | 15/650 [03:01<1:29:34, 8.46s/it]
2%|β | 16/650 [03:09<1:28:47, 8.40s/it]
3%|β | 17/650 [03:17<1:28:11, 8.36s/it]
3%|β | 18/650 [03:26<1:27:44, 8.33s/it]
3%|β | 19/650 [03:34<1:27:22, 8.31s/it]
3%|β | 20/650 [03:42<1:27:04, 8.29s/it]
{'loss': 6.0239, 'grad_norm': 0.7923386096954346, 'learning_rate': 1.9e-05, 'ppl': 413.18689, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 237.59417724609375, 'tokens/total': 323584, 'tokens/trainable': 146859, 'epoch': 1.55}
3%|β | 20/650 [03:42<1:27:04, 8.29s/it]
3%|β | 21/650 [03:50<1:26:50, 8.28s/it]
3%|β | 22/650 [03:59<1:26:34, 8.27s/it]
4%|ββ | 23/650 [04:07<1:26:24, 8.27s/it]
4%|ββ | 24/650 [04:15<1:26:14, 8.27s/it]
4%|ββ | 25/650 [04:23<1:26:06, 8.27s/it]
{'loss': 5.9298, 'grad_norm': 0.9688937664031982, 'learning_rate': 1.9998010727705237e-05, 'ppl': 376.07929, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 212.3710479736328, 'tokens/total': 405504, 'tokens/trainable': 183924, 'epoch': 1.94}
4%|ββ | 25/650 [04:23<1:26:06, 8.27s/it]
4%|ββ | 26/650 [04:30<1:19:40, 7.66s/it]
4%|ββ | 27/650 [04:40<1:27:26, 8.42s/it]
4%|ββ | 28/650 [04:48<1:26:49, 8.38s/it]
4%|ββ | 29/650 [04:56<1:26:19, 8.34s/it]
5%|ββ | 30/650 [05:05<1:25:56, 8.32s/it]
{'loss': 5.8764, 'grad_norm': 1.120764136314392, 'learning_rate': 1.9989930665413148e-05, 'ppl': 356.52344, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 214.12718200683594, 'tokens/total': 483328, 'tokens/trainable': 218753, 'epoch': 2.31}
5%|ββ | 30/650 [05:05<1:25:56, 8.32s/it]
5%|ββ | 31/650 [05:13<1:25:38, 8.30s/it]
5%|ββ | 32/650 [05:21<1:25:24, 8.29s/it]
5%|ββ | 33/650 [05:29<1:25:11, 8.28s/it]
5%|ββ | 34/650 [05:38<1:24:59, 8.28s/it]
5%|ββ | 35/650 [05:46<1:24:45, 8.27s/it]
{'loss': 5.8105, 'grad_norm': 1.2133527994155884, 'learning_rate': 1.9975640502598243e-05, 'ppl': 333.78598, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 220.15711975097656, 'tokens/total': 565248, 'tokens/trainable': 256149, 'epoch': 2.71}
5%|ββ | 35/650 [05:46<1:24:45, 8.27s/it]
6%|ββ | 36/650 [05:54<1:24:34, 8.27s/it]
6%|ββ | 37/650 [06:02<1:24:24, 8.26s/it]
6%|ββ | 38/650 [06:11<1:24:15, 8.26s/it]
6%|ββ | 39/650 [06:17<1:17:55, 7.65s/it]
6%|ββ | 40/650 [06:27<1:25:27, 8.41s/it]
{'loss': 5.6921, 'grad_norm': 1.2973392009735107, 'learning_rate': 1.995514912254015e-05, 'ppl': 296.51565, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 220.37948608398438, 'tokens/total': 643072, 'tokens/trainable': 290596, 'epoch': 3.08}
6%|ββ | 40/650 [06:27<1:25:27, 8.41s/it]
6%|ββ | 41/650 [06:35<1:24:52, 8.36s/it]
6%|βββ | 42/650 [06:44<1:24:24, 8.33s/it]
7%|βββ | 43/650 [06:52<1:24:02, 8.31s/it]
7%|βββ | 44/650 [07:00<1:23:44, 8.29s/it]
7%|βββ | 45/650 [07:08<1:23:30, 8.28s/it]
{'loss': 5.5982, 'grad_norm': 1.3150535821914673, 'learning_rate': 1.9928469263418376e-05, 'ppl': 269.94008, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 223.76809692382812, 'tokens/total': 724992, 'tokens/trainable': 328311, 'epoch': 3.47}
7%|βββ | 45/650 [07:08<1:23:30, 8.28s/it]
7%|βββ | 46/650 [07:17<1:23:18, 8.28s/it]
7%|βββ | 47/650 [07:25<1:23:05, 8.27s/it]
7%|βββ | 48/650 [07:33<1:22:54, 8.26s/it]
8%|βββ | 49/650 [07:41<1:22:43, 8.26s/it]
8%|βββ | 50/650 [07:50<1:22:33, 8.26s/it]
{'loss': 5.394, 'grad_norm': 1.2739847898483276, 'learning_rate': 1.9895617510393773e-05, 'ppl': 220.08196, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.82, 'tokens/train_per_sec_per_gpu': 209.72315979003906, 'tokens/total': 806912, 'tokens/trainable': 365622, 'epoch': 3.86}
8%|βββ | 50/650 [07:50<1:22:33, 8.26s/it][2026-01-24 13:33:23,098] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|β | 2/100 [00:00<00:25, 3.85it/s][A
3%|β | 3/100 [00:01<00:35, 2.71it/s][A
4%|ββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|ββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|βββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββ | 10/100 [00:05<00:48, 1.87it/s][A
11%|ββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|βββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|βββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|ββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|βββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|ββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|βββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|βββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|ββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|ββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|βββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|ββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|ββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|βββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|βββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|ββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|βββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|ββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|βββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|ββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|ββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|βββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|ββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|ββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|βββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|βββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|ββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|βββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|ββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|βββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|βββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|ββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|βββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|ββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|ββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|βββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|βββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|ββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|βββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|ββββββββββββββββββββββββββββββββ | 89/100 [00:46<00:05, 1.86it/s][A
90%|ββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|βββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|βββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|ββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|βββββββββββββββββββββββββββββββββββ| 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.83it/s][A
[A{'eval_loss': 2.1003942489624023, 'eval_runtime': 53.9477, 'eval_samples_per_second': 3.707, 'eval_steps_per_second': 1.854, 'eval_ppl': 8.16939, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.82, 'epoch': 3.86, 'tokens/train_per_sec_per_gpu': 0.0}
8%|βββ | 50/650 [08:44<1:22:33, 8.26s/it]
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.83it/s][A
[A
8%|βββ | 51/650 [08:52<4:04:05, 24.45s/it]
8%|βββ | 52/650 [08:58<3:09:14, 18.99s/it]
8%|βββ | 53/650 [09:08<2:42:38, 16.35s/it]
8%|βββ | 54/650 [09:16<2:15:29, 13.64s/it]
8%|βββ | 55/650 [09:24<1:59:13, 12.02s/it]
{'loss': 5.3139, 'grad_norm': 1.290380597114563, 'learning_rate': 1.985661428529863e-05, 'ppl': 203.14094, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 238.74021911621094, 'tokens/total': 884736, 'tokens/trainable': 400183, 'epoch': 4.24}
8%|βββ | 55/650 [09:24<1:59:13, 12.02s/it]
9%|βββ | 56/650 [09:32<1:47:47, 10.89s/it]
9%|βββ | 57/650 [09:40<1:39:49, 10.10s/it]
9%|βββ | 58/650 [09:48<1:31:27, 9.27s/it]
9%|βββ | 59/650 [09:56<1:28:15, 8.96s/it]
9%|βββ | 60/650 [10:04<1:25:58, 8.74s/it]
{'loss': 5.2056, 'grad_norm': 1.3334054946899414, 'learning_rate': 1.9811483833941726e-05, 'ppl': 182.29021, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 226.33343505859375, 'tokens/total': 966656, 'tokens/trainable': 437640, 'epoch': 4.63}
9%|βββ | 60/650 [10:04<1:25:58, 8.74s/it]
9%|βββ | 61/650 [10:12<1:24:22, 8.59s/it]
10%|ββββ | 62/650 [10:21<1:23:11, 8.49s/it]
10%|ββββ | 63/650 [10:29<1:22:19, 8.41s/it]
10%|ββββ | 64/650 [10:37<1:21:39, 8.36s/it]
10%|ββββ | 65/650 [10:43<1:15:16, 7.72s/it]
{'loss': 5.0582, 'grad_norm': 1.161880612373352, 'learning_rate': 1.9760254211036245e-05, 'ppl': 157.30711, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 187.5677032470703, 'tokens/total': 1044480, 'tokens/trainable': 472345, 'epoch': 5.0}
10%|ββββ | 65/650 [10:43<1:15:16, 7.72s/it]
10%|ββββ | 66/650 [10:53<1:22:08, 8.44s/it]
10%|ββββ | 67/650 [11:02<1:21:26, 8.38s/it]
10%|ββββ | 68/650 [11:10<1:20:55, 8.34s/it]
11%|ββββ | 69/650 [11:18<1:20:30, 8.31s/it]
11%|ββββ | 70/650 [11:26<1:20:12, 8.30s/it]
{'loss': 4.9713, 'grad_norm': 1.14654541015625, 'learning_rate': 1.9702957262759964e-05, 'ppl': 144.21424, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 228.5047607421875, 'tokens/total': 1126400, 'tokens/trainable': 509679, 'epoch': 5.39}
11%|ββββ | 70/650 [11:26<1:20:12, 8.30s/it]
11%|ββββ | 71/650 [11:35<1:19:56, 8.28s/it]
11%|ββββ | 72/650 [11:43<1:19:42, 8.27s/it]
11%|ββββ | 73/650 [11:51<1:19:28, 8.27s/it]
11%|ββββ | 74/650 [11:59<1:19:17, 8.26s/it]
12%|ββββ | 75/650 [12:08<1:19:07, 8.26s/it]
{'loss': 4.8927, 'grad_norm': 1.1394518613815308, 'learning_rate': 1.9639628606958535e-05, 'ppl': 133.31303, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 227.03880310058594, 'tokens/total': 1208320, 'tokens/trainable': 546748, 'epoch': 5.78}
12%|ββββ | 75/650 [12:08<1:19:07, 8.26s/it]
12%|ββββ | 76/650 [12:16<1:18:58, 8.26s/it]
12%|ββββ | 77/650 [12:24<1:18:51, 8.26s/it]
12%|ββββ | 78/650 [12:30<1:12:58, 7.66s/it]
12%|ββββ | 79/650 [12:40<1:19:33, 8.36s/it]
12%|ββββ | 80/650 [12:49<1:19:05, 8.33s/it]
{'loss': 4.8296, 'grad_norm': 1.182919979095459, 'learning_rate': 1.9570307611004124e-05, 'ppl': 125.16089, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 229.55503845214844, 'tokens/total': 1286144, 'tokens/trainable': 581786, 'epoch': 6.16}
12%|ββββ | 80/650 [12:49<1:19:05, 8.33s/it]
12%|ββββ | 81/650 [12:57<1:18:45, 8.31s/it]
13%|βββββ | 82/650 [13:05<1:18:28, 8.29s/it]
13%|βββββ | 83/650 [13:13<1:18:13, 8.28s/it]
13%|βββββ | 84/650 [13:22<1:18:00, 8.27s/it]
13%|βββββ | 85/650 [13:30<1:17:50, 8.27s/it]
{'loss': 4.7205, 'grad_norm': 1.1635547876358032, 'learning_rate': 1.9495037367323264e-05, 'ppl': 112.22435, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 238.2696990966797, 'tokens/total': 1368064, 'tokens/trainable': 619252, 'epoch': 6.55}
13%|βββββ | 85/650 [13:30<1:17:50, 8.27s/it]
13%|βββββ | 86/650 [13:38<1:17:42, 8.27s/it]
13%|βββββ | 87/650 [13:46<1:17:33, 8.26s/it]
14%|βββββ | 88/650 [13:55<1:17:23, 8.26s/it]
14%|βββββ | 89/650 [14:03<1:17:15, 8.26s/it]
14%|βββββ | 90/650 [14:11<1:17:04, 8.26s/it]
{'loss': 4.6447, 'grad_norm': 1.1828676462173462, 'learning_rate': 1.9413864666609036e-05, 'ppl': 104.03215, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 216.6095428466797, 'tokens/total': 1449984, 'tokens/trainable': 656250, 'epoch': 6.94}
14%|βββββ | 90/650 [14:11<1:17:04, 8.26s/it]
14%|βββββ | 91/650 [14:18<1:11:20, 7.66s/it]
14%|βββββ | 92/650 [14:28<1:18:02, 8.39s/it]
14%|βββββ | 93/650 [14:36<1:17:33, 8.35s/it]
14%|βββββ | 94/650 [14:44<1:17:10, 8.33s/it]
15%|βββββ | 95/650 [14:52<1:16:51, 8.31s/it]
{'loss': 4.6145, 'grad_norm': 1.196416974067688, 'learning_rate': 1.9326839968734278e-05, 'ppl': 100.93735, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 227.1728973388672, 'tokens/total': 1527808, 'tokens/trainable': 691447, 'epoch': 7.31}
15%|βββββ | 95/650 [14:52<1:16:51, 8.31s/it]
15%|βββββ | 96/650 [15:01<1:16:35, 8.30s/it]
15%|βββββ | 97/650 [15:09<1:16:20, 8.28s/it]
15%|βββββ | 98/650 [15:17<1:16:06, 8.27s/it]
15%|βββββ | 99/650 [15:25<1:15:56, 8.27s/it]
15%|βββββ | 100/650 [15:34<1:15:46, 8.27s/it]
{'loss': 4.4484, 'grad_norm': 1.2008439302444458, 'learning_rate': 1.9234017371383946e-05, 'ppl': 85.49005, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 229.3255615234375, 'tokens/total': 1609728, 'tokens/trainable': 728444, 'epoch': 7.71}
15%|βββββ | 100/650 [15:34<1:15:46, 8.27s/it][2026-01-24 13:41:07,232] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|β | 2/100 [00:00<00:25, 3.85it/s][A
3%|β | 3/100 [00:01<00:35, 2.71it/s][A
4%|ββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|ββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|βββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|ββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|βββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|βββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|ββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|βββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|ββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|βββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|βββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|ββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|ββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|βββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|ββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|ββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|βββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|βββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|ββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|βββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|ββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|βββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|ββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|ββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|βββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|ββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|ββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|βββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|βββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|ββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|βββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|ββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|βββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|βββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|ββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|βββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|ββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|ββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|βββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|βββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|ββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|βββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|ββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|ββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|βββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|βββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|ββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|βββββββββββββββββββββββββββββββββββ| 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.83it/s][A
[A{'eval_loss': 2.0366907119750977, 'eval_runtime': 53.964, 'eval_samples_per_second': 3.706, 'eval_steps_per_second': 1.853, 'eval_ppl': 7.6652, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.84, 'epoch': 7.71, 'tokens/train_per_sec_per_gpu': 0.0}
15%|βββββ | 100/650 [16:28<1:15:46, 8.27s/it]
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.83it/s][A
[A[2026-01-24 13:42:01,206] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-100
16%|βββββ | 101/650 [16:37<3:46:01, 24.70s/it]
16%|βββββ | 102/650 [16:45<3:00:31, 19.77s/it]
16%|βββββ | 103/650 [16:53<2:28:42, 16.31s/it]
16%|βββββ | 104/650 [17:00<2:00:58, 13.29s/it]
16%|ββββββ | 105/650 [17:10<1:52:23, 12.37s/it]
{'loss': 4.3593, 'grad_norm': 1.1998684406280518, 'learning_rate': 1.913545457642601e-05, 'ppl': 78.20237, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 239.9269256591797, 'tokens/total': 1687552, 'tokens/trainable': 763330, 'epoch': 8.08}
16%|ββββββ | 105/650 [17:10<1:52:23, 12.37s/it]
16%|ββββββ | 106/650 [17:18<1:41:00, 11.14s/it]
16%|ββββββ | 107/650 [17:26<1:32:57, 10.27s/it]
17%|ββββββ | 108/650 [17:34<1:27:18, 9.66s/it]
17%|ββββββ | 109/650 [17:43<1:23:19, 9.24s/it]
17%|ββββββ | 110/650 [17:51<1:20:31, 8.95s/it]
{'loss': 4.3202, 'grad_norm': 1.1768964529037476, 'learning_rate': 1.903121285404192e-05, 'ppl': 75.20367, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 234.99725341796875, 'tokens/total': 1769472, 'tokens/trainable': 800603, 'epoch': 8.47}
17%|ββββββ | 110/650 [17:51<1:20:31, 8.95s/it]
17%|ββββββ | 111/650 [17:59<1:18:31, 8.74s/it]
17%|ββββββ | 112/650 [18:08<1:17:02, 8.59s/it]
17%|ββββββ | 113/650 [18:16<1:16:00, 8.49s/it]
18%|ββββββ | 114/650 [18:24<1:15:12, 8.42s/it]
18%|ββββββ | 115/650 [18:32<1:14:37, 8.37s/it]
{'loss': 4.2426, 'grad_norm': 1.25551438331604, 'learning_rate': 1.8921357004638837e-05, 'ppl': 69.58855, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 223.63258361816406, 'tokens/total': 1851392, 'tokens/trainable': 837677, 'epoch': 8.86}
18%|ββββββ | 115/650 [18:32<1:14:37, 8.37s/it]
18%|ββββββ | 116/650 [18:41<1:14:11, 8.34s/it]
18%|ββββββ | 117/650 [18:47<1:08:30, 7.71s/it]
18%|ββββββ | 118/650 [18:57<1:14:39, 8.42s/it]
18%|ββββββ | 119/650 [19:05<1:14:03, 8.37s/it]
18%|ββββββ | 120/650 [19:13<1:13:38, 8.34s/it]
{'loss': 4.2269, 'grad_norm': 1.2445223331451416, 'learning_rate': 1.880595531856738e-05, 'ppl': 68.50454, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 202.2104034423828, 'tokens/total': 1929216, 'tokens/trainable': 873147, 'epoch': 9.24}
18%|ββββββ | 120/650 [19:13<1:13:38, 8.34s/it]
19%|ββββββ | 121/650 [19:22<1:13:17, 8.31s/it]
19%|ββββββ | 122/650 [19:30<1:12:58, 8.29s/it]
19%|ββββββ | 123/650 [19:38<1:12:44, 8.28s/it]
19%|ββββββ | 124/650 [19:46<1:12:30, 8.27s/it]
19%|βββββββ | 125/650 [19:55<1:12:19, 8.27s/it]
{'loss': 4.1258, 'grad_norm': 1.2367068529129028, 'learning_rate': 1.868507953366989e-05, 'ppl': 61.91732, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 223.10665893554688, 'tokens/total': 2011136, 'tokens/trainable': 910155, 'epoch': 9.63}
19%|βββββββ | 125/650 [19:55<1:12:19, 8.27s/it]
19%|βββββββ | 126/650 [20:03<1:12:09, 8.26s/it]
20%|βββββββ | 127/650 [20:11<1:11:58, 8.26s/it]
20%|βββββββ | 128/650 [20:19<1:11:51, 8.26s/it]
20%|βββββββ | 129/650 [20:28<1:11:41, 8.26s/it]
20%|βββββββ | 130/650 [20:34<1:06:21, 7.66s/it]
{'loss': 3.9942, 'grad_norm': 1.3809951543807983, 'learning_rate': 1.855880479068559e-05, 'ppl': 54.2824, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 225.6050567626953, 'tokens/total': 2088960, 'tokens/trainable': 944690, 'epoch': 10.0}
20%|βββββββ | 130/650 [20:34<1:06:21, 7.66s/it]
20%|βββββββ | 131/650 [20:44<1:12:41, 8.40s/it]
20%|βββββββ | 132/650 [20:52<1:12:10, 8.36s/it]
20%|βββββββ | 133/650 [21:01<1:11:44, 8.33s/it]
21%|βββββββ | 134/650 [21:09<1:11:25, 8.31s/it]
21%|βββββββ | 135/650 [21:17<1:11:10, 8.29s/it]
{'loss': 3.9903, 'grad_norm': 1.2650110721588135, 'learning_rate': 1.8427209586540392e-05, 'ppl': 54.07111, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 212.85777282714844, 'tokens/total': 2170880, 'tokens/trainable': 982000, 'epoch': 10.39}
21%|βββββββ | 135/650 [21:17<1:11:10, 8.29s/it]
21%|βββββββ | 136/650 [21:24<1:08:34, 8.00s/it]
21%|βββββββ | 137/650 [21:33<1:09:06, 8.08s/it]
21%|βββββββ | 138/650 [21:41<1:09:24, 8.13s/it]
21%|βββββββ | 139/650 [21:49<1:09:35, 8.17s/it]
22%|βββββββ | 140/650 [21:57<1:09:38, 8.19s/it]
{'loss': 3.8609, 'grad_norm': 1.3191193342208862, 'learning_rate': 1.8290375725550417e-05, 'ppl': 47.50809, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 233.4993133544922, 'tokens/total': 2252800, 'tokens/trainable': 1019240, 'epoch': 10.78}
22%|βββββββ | 140/650 [21:57<1:09:38, 8.19s/it]
22%|βββββββ | 141/650 [22:06<1:09:39, 8.21s/it]
22%|βββββββ | 142/650 [22:14<1:09:37, 8.22s/it]
22%|βββββββ | 143/650 [22:20<1:04:28, 7.63s/it]
22%|βββββββ | 144/650 [22:30<1:10:22, 8.35s/it]
22%|ββββββββ | 145/650 [22:38<1:10:01, 8.32s/it]
{'loss': 3.8391, 'grad_norm': 1.24160635471344, 'learning_rate': 1.8148388268569453e-05, 'ppl': 46.48362, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 240.01336669921875, 'tokens/total': 2330624, 'tokens/trainable': 1054003, 'epoch': 11.16}
22%|ββββββββ | 145/650 [22:38<1:10:01, 8.32s/it]
22%|ββββββββ | 146/650 [22:46<1:07:24, 8.02s/it]
23%|ββββββββ | 147/650 [22:54<1:07:52, 8.10s/it]
23%|ββββββββ | 148/650 [23:02<1:08:08, 8.14s/it]
23%|ββββββββ | 149/650 [23:11<1:08:17, 8.18s/it]
23%|ββββββββ | 150/650 [23:19<1:08:20, 8.20s/it]
{'loss': 3.7583, 'grad_norm': 1.2470208406448364, 'learning_rate': 1.8001335480112067e-05, 'ppl': 42.87548, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 215.87060546875, 'tokens/total': 2412544, 'tokens/trainable': 1091234, 'epoch': 11.55}
23%|ββββββββ | 150/650 [23:19<1:08:20, 8.20s/it][2026-01-24 13:48:52,339] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|β | 2/100 [00:00<00:25, 3.86it/s][A
3%|β | 3/100 [00:01<00:35, 2.71it/s][A
4%|ββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|ββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|βββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββ | 9/100 [00:04<00:49, 1.83it/s][A
10%|ββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|ββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|βββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|βββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββ | 15/100 [00:07<00:45, 1.89it/s][A
16%|ββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|ββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|βββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|ββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|βββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|βββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|ββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|ββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|βββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|ββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|ββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|βββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|βββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|ββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|βββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|ββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|βββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|ββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|ββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|βββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|ββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|ββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|βββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|βββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|ββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|βββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|ββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|βββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|βββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|ββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|βββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|ββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|ββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|βββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|βββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|ββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|βββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|ββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|ββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|βββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|βββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|ββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|βββββββββββββββββββββββββββββββββββ| 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.9784648418426514, 'eval_runtime': 53.9896, 'eval_samples_per_second': 3.704, 'eval_steps_per_second': 1.852, 'eval_ppl': 7.23163, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.84, 'epoch': 11.55, 'tokens/train_per_sec_per_gpu': 0.0}
23%|ββββββββ | 150/650 [24:13<1:08:20, 8.20s/it]
100%|ββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A
23%|ββββββββ | 151/650 [24:21<3:23:09, 24.43s/it]
23%|ββββββββ | 152/650 [24:29<2:42:30, 19.58s/it]
24%|ββββββββ | 153/650 [24:38<2:14:04, 16.19s/it]
24%|ββββββββ | 154/650 [24:46<1:54:06, 13.80s/it]
24%|ββββββββ | 155/650 [24:54<1:40:07, 12.14s/it]
{'loss': 3.7622, 'grad_norm': 1.3049488067626953, 'learning_rate': 1.7849308773485226e-05, 'ppl': 43.04302, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 229.1610565185547, 'tokens/total': 2494464, 'tokens/trainable': 1128575, 'epoch': 11.94}
24%|ββββββββ | 155/650 [24:54<1:40:07, 12.14s/it]
24%|ββββββββ | 156/650 [25:00<1:25:23, 10.37s/it]
24%|ββββββββ | 157/650 [25:11<1:24:45, 10.31s/it]
24%|ββββββββ | 158/650 [25:19<1:19:30, 9.70s/it]
24%|ββββββββ | 159/650 [25:27<1:15:49, 9.27s/it]
25%|ββββββββ | 160/650 [25:35<1:13:12, 8.96s/it]
{'loss': 3.6854, 'grad_norm': 1.3209326267242432, 'learning_rate': 1.769240265396249e-05, 'ppl': 39.86106, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 222.77145385742188, 'tokens/total': 2572288, 'tokens/trainable': 1163532, 'epoch': 12.31}
25%|ββββββββ | 160/650 [25:35<1:13:12, 8.96s/it]
25%|ββββββββ | 161/650 [25:44<1:11:20, 8.75s/it]
25%|ββββββββ | 162/650 [25:52<1:09:58, 8.60s/it]
25%|ββββββββ | 163/650 [26:00<1:08:59, 8.50s/it]
25%|ββββββββ | 164/650 [26:08<1:08:14, 8.43s/it]
25%|ββββββββ | 165/650 [26:17<1:07:41, 8.37s/it]
{'loss': 3.6321, 'grad_norm': 1.3130707740783691, 'learning_rate': 1.7530714660036112e-05, 'ppl': 37.7921, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 239.2020721435547, 'tokens/total': 2654208, 'tokens/trainable': 1200592, 'epoch': 12.71}
25%|ββββββββ | 165/650 [26:17<1:07:41, 8.37s/it]
26%|βββββββββ | 166/650 [26:25<1:07:16, 8.34s/it]
26%|βββββββββ | 167/650 [26:33<1:06:56, 8.32s/it]
26%|βββββββββ | 168/650 [26:41<1:06:40, 8.30s/it]
26%|βββββββββ | 169/650 [26:48<1:01:37, 7.69s/it]
26%|βββββββββ | 170/650 [26:58<1:07:31, 8.44s/it]
{'loss': 3.5313, 'grad_norm': 1.2986565828323364, 'learning_rate': 1.736434530278362e-05, 'ppl': 34.16836, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 219.5823516845703, 'tokens/total': 2732032, 'tokens/trainable': 1235455, 'epoch': 13.08}
26%|βββββββββ | 170/650 [26:58<1:07:31, 8.44s/it]
26%|βββββββββ | 171/650 [27:06<1:06:55, 8.38s/it]
26%|βββββββββ | 172/650 [27:14<1:06:28, 8.34s/it]
27%|βββββββββ | 173/650 [27:23<1:06:08, 8.32s/it]
27%|βββββββββ | 174/650 [27:31<1:05:51, 8.30s/it]
27%|βββββββββ | 175/650 [27:39<1:05:37, 8.29s/it]
{'loss': 3.5739, 'grad_norm': 1.4056479930877686, 'learning_rate': 1.7193398003386514e-05, 'ppl': 35.65538, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 217.5475616455078, 'tokens/total': 2813952, 'tokens/trainable': 1272869, 'epoch': 13.47}
27%|βββββββββ | 175/650 [27:39<1:05:37, 8.29s/it]
27%|βββββββββ | 176/650 [27:47<1:05:24, 8.28s/it]
27%|βββββββββ | 177/650 [27:56<1:05:13, 8.27s/it]
27%|βββββββββ | 178/650 [28:04<1:05:03, 8.27s/it]
28%|βββββββββ | 179/650 [28:12<1:04:52, 8.27s/it]
28%|βββββββββ | 180/650 [28:20<1:04:42, 8.26s/it]
{'loss': 3.5038, 'grad_norm': 1.2493181228637695, 'learning_rate': 1.7017979028839918e-05, 'ppl': 33.24153, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 231.85951232910156, 'tokens/total': 2895872, 'tokens/trainable': 1309958, 'epoch': 13.86}
28%|βββββββββ | 180/650 [28:20<1:04:42, 8.26s/it]
28%|βββββββββ | 181/650 [28:29<1:04:35, 8.26s/it]
28%|βββββββββββββββββ | 182/650 [28:35<59:45, 7.66s/it]
28%|βββββββββββββββββ | 183/650 [28:45<1:05:30, 8.42s/it]
28%|βββββββββββββββββ | 184/650 [28:53<1:04:59, 8.37s/it]
28%|βββββββββββββββββ | 185/650 [29:02<1:04:36, 8.34s/it]
{'loss': 3.4501, 'grad_norm': 1.3328948020935059, 'learning_rate': 1.68381974258932e-05, 'ppl': 31.50354, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 223.9250030517578, 'tokens/total': 2973696, 'tokens/trainable': 1344982, 'epoch': 14.24}
28%|βββββββββββββββββ | 185/650 [29:02<1:04:36, 8.34s/it]
29%|βββββββββββββββββ | 186/650 [29:10<1:04:18, 8.31s/it]
29%|βββββββββββββββββ | 187/650 [29:18<1:04:00, 8.30s/it]
29%|βββββββββββββββββ | 188/650 [29:26<1:03:47, 8.28s/it]
29%|βββββββββββββββββ | 189/650 [29:35<1:03:35, 8.28s/it]
29%|βββββββββββββββββ | 190/650 [29:43<1:03:24, 8.27s/it]
{'loss': 3.4112, 'grad_norm': 1.340157389640808, 'learning_rate': 1.6654164953262614e-05, 'ppl': 30.30158, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 220.52084350585938, 'tokens/total': 3055616, 'tokens/trainable': 1382265, 'epoch': 14.63}
29%|βββββββββββββββββ | 190/650 [29:43<1:03:24, 8.27s/it]
29%|βββββββββββββββββ | 191/650 [29:51<1:03:16, 8.27s/it]
30%|ββββββββββββββββββ | 192/650 [29:59<1:03:07, 8.27s/it]
30%|ββββββββββββββββββ | 193/650 [30:08<1:02:59, 8.27s/it]
30%|ββββββββββββββββββ | 194/650 [30:16<1:02:48, 8.26s/it]
30%|ββββββββββββββββββ | 195/650 [30:22<58:06, 7.66s/it]
{'loss': 3.37, 'grad_norm': 1.4470051527023315, 'learning_rate': 1.6465996012157996e-05, 'ppl': 29.07853, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 232.44625854492188, 'tokens/total': 3133440, 'tokens/trainable': 1417035, 'epoch': 15.0}
30%|ββββββββββββββββββ | 195/650 [30:22<58:06, 7.66s/it]
30%|ββββββββββββββββββ | 196/650 [30:32<1:03:39, 8.41s/it]
30%|ββββββββββββββββββ | 197/650 [30:41<1:03:09, 8.36s/it]
30%|ββββββββββββββββββ | 198/650 [30:49<1:02:46, 8.33s/it]
31%|ββββββββββββββββββ | 199/650 [30:57<1:02:28, 8.31s/it]
31%|ββββββββββββββββββ | 200/650 [31:05<1:02:13, 8.30s/it]
{'loss': 3.363, 'grad_norm': 1.4995049238204956, 'learning_rate': 1.6273807575166927e-05, 'ppl': 28.87569, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 232.96780395507812, 'tokens/total': 3215360, 'tokens/trainable': 1454761, 'epoch': 15.39}
31%|ββββββββββββββββββ | 200/650 [31:05<1:02:13, 8.30s/it][2026-01-24 13:56:38,979] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.86it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.81it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.87it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.85it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.89it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.89it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.89it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.9298608303070068, 'eval_runtime': 54.001, 'eval_samples_per_second': 3.704, 'eval_steps_per_second': 1.852, 'eval_ppl': 6.88855, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.84, 'epoch': 15.39, 'tokens/train_per_sec_per_gpu': 0.0}
31%|ββββββββββββββββββ | 200/650 [31:59<1:02:13, 8.30s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A[2026-01-24 13:57:32,990] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-200
31%|ββββββββββββββββββ | 201/650 [32:09<3:05:05, 24.73s/it]
31%|ββββββββββββββββββ | 202/650 [32:17<2:27:47, 19.79s/it]
31%|ββββββββββββββββββ | 203/650 [32:25<2:01:40, 16.33s/it]
31%|βββββββββββββββββββ | 204/650 [32:33<1:43:23, 13.91s/it]
32%|βββββββββββββββββββ | 205/650 [32:42<1:30:36, 12.22s/it]
{'loss': 3.3266, 'grad_norm': 1.821424961090088, 'learning_rate': 1.6077719113540303e-05, 'ppl': 27.84351, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 225.10531616210938, 'tokens/total': 3297280, 'tokens/trainable': 1491439, 'epoch': 15.78}
32%|βββββββββββββββββββ | 205/650 [32:42<1:30:36, 12.22s/it]
32%|βββββββββββββββββββ | 206/650 [32:50<1:21:37, 11.03s/it]
32%|βββββββββββββββββββ | 207/650 [32:58<1:15:17, 10.20s/it]
32%|βββββββββββββββββββ | 208/650 [33:04<1:06:25, 9.02s/it]
32%|βββββββββββββββββββ | 209/650 [33:15<1:08:51, 9.37s/it]
32%|βββββββββββββββββββ | 210/650 [33:23<1:06:15, 9.03s/it]
{'loss': 3.2791, 'grad_norm': 1.4399441480636597, 'learning_rate': 1.5877852522924733e-05, 'ppl': 26.55187, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 213.16677856445312, 'tokens/total': 3375104, 'tokens/trainable': 1526436, 'epoch': 16.16}
32%|βββββββββββββββββββ | 210/650 [33:23<1:06:15, 9.03s/it]
32%|βββββββββββββββββββ | 211/650 [33:31<1:04:24, 8.80s/it]
33%|βββββββββββββββββββ | 212/650 [33:39<1:03:04, 8.64s/it]
33%|βββββββββββββββββββ | 213/650 [33:48<1:02:06, 8.53s/it]
33%|βββββββββββββββββββ | 214/650 [33:56<1:01:23, 8.45s/it]
33%|ββββββββββββββββββββ | 215/650 [34:04<1:00:50, 8.39s/it]
{'loss': 3.2551, 'grad_norm': 1.3437100648880005, 'learning_rate': 1.567433204758782e-05, 'ppl': 25.92221, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 217.27838134765625, 'tokens/total': 3457024, 'tokens/trainable': 1563597, 'epoch': 16.55}
33%|ββββββββββββββββββββ | 215/650 [34:04<1:00:50, 8.39s/it]
33%|ββββββββββββββββββββ | 216/650 [34:12<1:00:25, 8.35s/it]
33%|ββββββββββββββββββββ | 217/650 [34:21<1:00:05, 8.33s/it]
34%|ββββββββββββββββββββ | 218/650 [34:29<59:48, 8.31s/it]
34%|βββββββββββββββββββββ | 219/650 [34:37<59:34, 8.29s/it]
34%|βββββββββββββββββββββ | 220/650 [34:45<57:23, 8.01s/it]
{'loss': 3.2498, 'grad_norm': 1.3698214292526245, 'learning_rate': 1.5467284203183437e-05, 'ppl': 25.78518, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 252.31300354003906, 'tokens/total': 3538944, 'tokens/trainable': 1601156, 'epoch': 16.94}
34%|βββββββββββββββββββββ | 220/650 [34:45<57:23, 8.01s/it]
34%|βββββββββββββββββββββ | 221/650 [34:51<53:28, 7.48s/it]
34%|βββββββββββββββββββββ | 222/650 [35:01<59:05, 8.28s/it]
34%|βββββββββββββββββββββ | 223/650 [35:09<58:54, 8.28s/it]
34%|βββββββββββββββββββββ | 224/650 [35:17<58:44, 8.27s/it]
35%|βββββββββββββββββββββ | 225/650 [35:26<58:33, 8.27s/it]
{'loss': 3.163, 'grad_norm': 1.3603277206420898, 'learning_rate': 1.5256837698105047e-05, 'ppl': 23.64141, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 231.8495330810547, 'tokens/total': 3616768, 'tokens/trainable': 1635980, 'epoch': 17.31}
35%|βββββββββββββββββββββ | 225/650 [35:26<58:33, 8.27s/it]
35%|βββββββββββββββββββββ | 226/650 [35:34<58:25, 8.27s/it]
35%|βββββββββββββββββββββ | 227/650 [35:42<58:16, 8.27s/it]
35%|βββββββββββββββββββββ | 228/650 [35:50<58:07, 8.26s/it]
35%|ββββββββββββββββββββββ | 229/650 [35:59<57:58, 8.26s/it]
35%|ββββββββββββββββββββββ | 230/650 [36:07<57:49, 8.26s/it]
{'loss': 3.1506, 'grad_norm': 1.3459270000457764, 'learning_rate': 1.5043123353475944e-05, 'ppl': 23.35007, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 247.0294189453125, 'tokens/total': 3698688, 'tokens/trainable': 1673180, 'epoch': 17.71}
35%|ββββββββββββββββββββββ | 230/650 [36:07<57:49, 8.26s/it]
36%|ββββββββββββββββββββββ | 231/650 [36:15<57:40, 8.26s/it]
36%|ββββββββββββββββββββββ | 232/650 [36:24<57:31, 8.26s/it]
36%|ββββββββββββββββββββββ | 233/650 [36:32<57:22, 8.25s/it]
36%|ββββββββββββββββββββββ | 234/650 [36:38<53:03, 7.65s/it]
36%|ββββββββββββββββββββββ | 235/650 [36:48<58:08, 8.41s/it]
{'loss': 3.1503, 'grad_norm': 1.4214606285095215, 'learning_rate': 1.482627402182611e-05, 'ppl': 23.34307, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 231.67904663085938, 'tokens/total': 3776512, 'tokens/trainable': 1708085, 'epoch': 18.08}
36%|ββββββββββββββββββββββ | 235/650 [36:48<58:08, 8.41s/it]
36%|ββββββββββββββββββββββ | 236/650 [36:56<57:40, 8.36s/it]
36%|ββββββββββββββββββββββ | 237/650 [37:05<57:20, 8.33s/it]
37%|ββββββββββββββββββββββ | 238/650 [37:13<57:04, 8.31s/it]
37%|ββββββββββββββββββββββ | 239/650 [37:21<56:49, 8.30s/it]
37%|βββββββββββββββββββββββ | 240/650 [37:29<56:37, 8.29s/it]
{'loss': 3.1352, 'grad_norm': 1.3624988794326782, 'learning_rate': 1.4606424504506325e-05, 'ppl': 22.99323, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 242.47784423828125, 'tokens/total': 3858432, 'tokens/trainable': 1745240, 'epoch': 18.47}
37%|βββββββββββββββββββββββ | 240/650 [37:29<56:37, 8.29s/it]
37%|βββββββββββββββββββββββ | 241/650 [37:38<56:25, 8.28s/it]
37%|βββββββββββββββββββββββ | 242/650 [37:46<56:15, 8.27s/it]
37%|βββββββββββββββββββββββ | 243/650 [37:54<56:06, 8.27s/it]
38%|βββββββββββββββββββββββ | 244/650 [38:03<55:57, 8.27s/it]
38%|βββββββββββββββββββββββ | 245/650 [38:11<55:49, 8.27s/it]
{'loss': 3.0854, 'grad_norm': 1.3335026502609253, 'learning_rate': 1.4383711467890776e-05, 'ppl': 21.87622, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 225.49703979492188, 'tokens/total': 3940352, 'tokens/trainable': 1782485, 'epoch': 18.86}
38%|βββββββββββββββββββββββ | 245/650 [38:11<55:49, 8.27s/it]
38%|βββββββββββββββββββββββ | 246/650 [38:19<55:41, 8.27s/it]
38%|βββββββββββββββββββββββ | 247/650 [38:25<51:31, 7.67s/it]
38%|βββββββββββββββββββββββ | 248/650 [38:35<56:19, 8.41s/it]
38%|βββββββββββββββββββββββ | 249/650 [38:44<55:53, 8.36s/it]
38%|βββββββββββββββββββββββ | 250/650 [38:52<55:32, 8.33s/it]
{'loss': 3.0568, 'grad_norm': 1.3789132833480835, 'learning_rate': 1.415827335842033e-05, 'ppl': 21.25942, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.84, 'tokens/train_per_sec_per_gpu': 224.20953369140625, 'tokens/total': 4018176, 'tokens/trainable': 1817262, 'epoch': 19.24}
38%|βββββββββββββββββββββββ | 250/650 [38:52<55:32, 8.33s/it][2026-01-24 14:04:25,521] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.85it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.83it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.89it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:09, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.8664345741271973, 'eval_runtime': 53.9853, 'eval_samples_per_second': 3.705, 'eval_steps_per_second': 1.852, 'eval_ppl': 6.4652, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.84, 'epoch': 19.24, 'tokens/train_per_sec_per_gpu': 0.0}
38%|βββββββββββββββββββββββ | 250/650 [39:46<55:32, 8.33s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A
39%|βββββββββββββββββββββββ | 251/650 [39:54<2:43:04, 24.52s/it]
39%|βββββββββββββββββββββββ | 252/650 [40:03<2:10:19, 19.65s/it]
39%|βββββββββββββββββββββββ | 253/650 [40:11<1:47:24, 16.23s/it]
39%|βββββββββββββββββββββββ | 254/650 [40:19<1:31:19, 13.84s/it]
39%|βββββββββββββββββββββββ | 255/650 [40:27<1:20:04, 12.16s/it]
{'loss': 3.0257, 'grad_norm': 1.3327895402908325, 'learning_rate': 1.3930250316539237e-05, 'ppl': 20.60843, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 229.9409942626953, 'tokens/total': 4100096, 'tokens/trainable': 1854578, 'epoch': 19.63}
39%|βββββββββββββββββββββββ | 255/650 [40:27<1:20:04, 12.16s/it]
39%|βββββββββββββββββββββββ | 256/650 [40:36<1:12:10, 10.99s/it]
40%|βββββββββββββββββββββββ | 257/650 [40:44<1:06:35, 10.17s/it]
40%|βββββββββββββββββββββββ | 258/650 [40:52<1:02:39, 9.59s/it]
40%|ββββββββββββββββββββββββ | 259/650 [41:00<59:51, 9.19s/it]
40%|ββββββββββββββββββββββββ | 260/650 [41:07<53:59, 8.31s/it]
{'loss': 3.0287, 'grad_norm': 1.5805764198303223, 'learning_rate': 1.3699784089578791e-05, 'ppl': 20.67034, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 196.57861328125, 'tokens/total': 4177920, 'tokens/trainable': 1889380, 'epoch': 20.0}
40%|ββββββββββββββββββββββββ | 260/650 [41:07<53:59, 8.31s/it]
40%|ββββββββββββββββββββββββ | 261/650 [41:17<57:45, 8.91s/it]
40%|βββββββββββββββββββββββββ | 262/650 [41:25<56:22, 8.72s/it]
40%|βββββββββββββββββββββββββ | 263/650 [41:33<55:20, 8.58s/it]
41%|βββββββββββββββββββββββββ | 264/650 [41:42<54:36, 8.49s/it]
41%|βββββββββββββββββββββββββ | 265/650 [41:50<54:01, 8.42s/it]
{'loss': 3.0286, 'grad_norm': 1.3351317644119263, 'learning_rate': 1.3467017943642074e-05, 'ppl': 20.66828, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 215.64198303222656, 'tokens/total': 4259840, 'tokens/trainable': 1927132, 'epoch': 20.39}
41%|βββββββββββββββββββββββββ | 265/650 [41:50<54:01, 8.42s/it]
41%|βββββββββββββββββββββββββ | 266/650 [41:58<53:38, 8.38s/it]
41%|βββββββββββββββββββββββββ | 267/650 [42:07<53:18, 8.35s/it]
41%|βββββββββββββββββββββββββ | 268/650 [42:15<53:02, 8.33s/it]
41%|βββββββββββββββββββββββββ | 269/650 [42:23<52:48, 8.32s/it]
42%|βββββββββββββββββββββββββ | 270/650 [42:31<52:34, 8.30s/it]
{'loss': 2.9528, 'grad_norm': 1.3210023641586304, 'learning_rate': 1.3232096574544602e-05, 'ppl': 19.15953, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 214.79986572265625, 'tokens/total': 4341760, 'tokens/trainable': 1964160, 'epoch': 20.78}
42%|βββββββββββββββββββββββββ | 270/650 [42:31<52:34, 8.30s/it]
42%|βββββββββββββββββββββββββ | 271/650 [42:40<52:21, 8.29s/it]
42%|βββββββββββββββββββββββββ | 272/650 [42:48<52:09, 8.28s/it]
42%|ββββββββββββββββββββββββββ | 273/650 [42:54<48:10, 7.67s/it]
42%|ββββββββββββββββββββββββββ | 274/650 [43:04<52:54, 8.44s/it]
42%|ββββββββββββββββββββββββββ | 275/650 [43:13<52:26, 8.39s/it]
{'loss': 2.968, 'grad_norm': 1.3026108741760254, 'learning_rate': 1.2995166017866194e-05, 'ppl': 19.45297, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 220.983642578125, 'tokens/total': 4419584, 'tokens/trainable': 1998717, 'epoch': 21.16}
42%|ββββββββββββββββββββββββββ | 275/650 [43:13<52:26, 8.39s/it]
42%|ββββββββββββββββββββββββββ | 276/650 [43:21<52:04, 8.35s/it]
43%|ββββββββββββββββββββββββββ | 277/650 [43:29<51:47, 8.33s/it]
43%|ββββββββββββββββββββββββββ | 278/650 [43:37<51:30, 8.31s/it]
43%|ββββββββββββββββββββββββββ | 279/650 [43:46<51:17, 8.29s/it]
43%|ββββββββββββββββββββββββββ | 280/650 [43:54<51:06, 8.29s/it]
{'loss': 2.9471, 'grad_norm': 1.598791241645813, 'learning_rate': 1.2756373558169992e-05, 'ppl': 19.05063, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 220.04495239257812, 'tokens/total': 4501504, 'tokens/trainable': 2035786, 'epoch': 21.55}
43%|ββββββββββββββββββββββββββ | 280/650 [43:54<51:06, 8.29s/it]
43%|ββββββββββββββββββββββββββ | 281/650 [44:01<49:13, 8.00s/it]
43%|ββββββββββββββββββββββββββ | 282/650 [44:10<49:35, 8.09s/it]
44%|ββββββββββββββββββββββββββ | 283/650 [44:18<49:47, 8.14s/it]
44%|βββββββββββββββββββββββββββ | 284/650 [44:26<49:53, 8.18s/it]
44%|βββββββββββββββββββββββββββ | 285/650 [44:34<49:54, 8.20s/it]
{'loss': 2.8982, 'grad_norm': 1.4100048542022705, 'learning_rate': 1.2515867637445088e-05, 'ppl': 18.14146, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 222.9599609375, 'tokens/total': 4583424, 'tokens/trainable': 2073333, 'epoch': 21.94}
44%|βββββββββββββββββββββββββββ | 285/650 [44:34<49:54, 8.20s/it]
44%|βββββββββββββββββββββββββββ | 286/650 [44:41<46:13, 7.62s/it]
44%|βββββββββββββββββββββββββββ | 287/650 [44:51<50:45, 8.39s/it]
44%|βββββββββββββββββββββββββββ | 288/650 [44:59<50:21, 8.35s/it]
44%|βββββββββββββββββββββββββββ | 289/650 [45:07<50:03, 8.32s/it]
45%|βββββββββββββββββββββββββββ | 290/650 [45:16<49:49, 8.30s/it]
{'loss': 2.8945, 'grad_norm': 1.2952361106872559, 'learning_rate': 1.2273797762829615e-05, 'ppl': 18.07446, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 226.50791931152344, 'tokens/total': 4661248, 'tokens/trainable': 2108119, 'epoch': 22.31}
45%|βββββββββββββββββββββββββββ | 290/650 [45:16<49:49, 8.30s/it]
45%|βββββββββββββββββββββββββββ | 291/650 [45:24<49:36, 8.29s/it]
45%|βββββββββββββββββββββββββββ | 292/650 [45:32<49:25, 8.28s/it]
45%|βββββββββββββββββββββββββββ | 293/650 [45:40<49:14, 8.28s/it]
45%|ββββββββββββββββββββββββββββ | 294/650 [45:49<49:04, 8.27s/it]
45%|ββββββββββββββββββββββββββββ | 295/650 [45:57<48:55, 8.27s/it]
{'loss': 2.8828, 'grad_norm': 1.2925727367401123, 'learning_rate': 1.2030314413671763e-05, 'ppl': 17.86422, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 210.02886962890625, 'tokens/total': 4743168, 'tokens/trainable': 2144924, 'epoch': 22.71}
45%|ββββββββββββββββββββββββββββ | 295/650 [45:57<48:55, 8.27s/it]
46%|ββββββββββββββββββββββββββββ | 296/650 [46:05<48:44, 8.26s/it]
46%|ββββββββββββββββββββββββββββ | 297/650 [46:13<48:34, 8.26s/it]
46%|ββββββββββββββββββββββββββββ | 298/650 [46:22<48:26, 8.26s/it]
46%|ββββββββββββββββββββββββββββ | 299/650 [46:28<44:47, 7.66s/it]
46%|ββββββββββββββββββββββββββββ | 300/650 [46:38<49:05, 8.42s/it]
{'loss': 2.8736, 'grad_norm': 1.3145809173583984, 'learning_rate': 1.1785568947986368e-05, 'ppl': 17.70063, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 220.417236328125, 'tokens/total': 4820992, 'tokens/trainable': 2180039, 'epoch': 23.08}
46%|ββββββββββββββββββββββββββββ | 300/650 [46:38<49:05, 8.42s/it][2026-01-24 14:12:11,621] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.87it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.72it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.36it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:51, 1.81it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.87it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.87it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.89it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.90it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.89it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.90it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:39, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.89it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.90it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.89it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.90it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:34, 1.89it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.90it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.89it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.90it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:21<00:30, 1.89it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.90it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.89it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:27, 1.90it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.89it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.89it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:29<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:38<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:46<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:47<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.81it/s][A
[A{'eval_loss': 1.8134173154830933, 'eval_runtime': 53.9413, 'eval_samples_per_second': 3.708, 'eval_steps_per_second': 1.854, 'eval_ppl': 6.13136, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 23.08, 'tokens/train_per_sec_per_gpu': 0.0}
46%|ββββββββββββββββββββββββββββ | 300/650 [47:32<49:05, 8.42s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.81it/s][A
[A[2026-01-24 14:13:05,572] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-300
46%|βββββββββββββββββββββββββββ | 301/650 [47:41<2:24:13, 24.79s/it]
46%|βββββββββββββββββββββββββββ | 302/650 [47:49<1:55:01, 19.83s/it]
47%|βββββββββββββββββββββββββββ | 303/650 [47:58<1:34:35, 16.36s/it]
47%|ββββββββββββββββββββββββββββ | 304/650 [48:06<1:20:17, 13.92s/it]
47%|ββββββββββββββββββββββββββββ | 305/650 [48:14<1:10:15, 12.22s/it]
{'loss': 2.8713, 'grad_norm': 1.3867206573486328, 'learning_rate': 1.1539713508365336e-05, 'ppl': 17.65996, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 234.4234619140625, 'tokens/total': 4902912, 'tokens/trainable': 2217599, 'epoch': 23.47}
47%|ββββββββββββββββββββββββββββ | 305/650 [48:14<1:10:15, 12.22s/it]
47%|ββββββββββββββββββββββββββββ | 306/650 [48:22<1:03:13, 11.03s/it]
47%|βββββββββββββββββββββββββββββ | 307/650 [48:31<58:16, 10.19s/it]
47%|βββββββββββββββββββββββββββββ | 308/650 [48:39<54:46, 9.61s/it]
48%|βββββββββββββββββββββββββββββ | 309/650 [48:47<52:18, 9.20s/it]
48%|βββββββββββββββββββββββββββββ | 310/650 [48:55<50:31, 8.92s/it]
{'loss': 2.8459, 'grad_norm': 1.3547266721725464, 'learning_rate': 1.1292900927400334e-05, 'ppl': 17.21705, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.23565673828125, 'tokens/total': 4984832, 'tokens/trainable': 2255036, 'epoch': 23.86}
48%|βββββββββββββββββββββββββββββ | 310/650 [48:55<50:31, 8.92s/it]
48%|βββββββββββββββββββββββββββββ | 311/650 [49:04<49:13, 8.71s/it]
48%|βββββββββββββββββββββββββββββ | 312/650 [49:10<44:54, 7.97s/it]
48%|βββββββββββββββββββββββββββββ | 313/650 [49:20<48:34, 8.65s/it]
48%|βββββββββββββββββββββββββββββ | 314/650 [49:28<47:44, 8.53s/it]
48%|βββββββββββββββββββββββββββββ | 315/650 [49:37<47:07, 8.44s/it]
{'loss': 2.806, 'grad_norm': 1.2744239568710327, 'learning_rate': 1.1045284632676535e-05, 'ppl': 16.54361, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 227.40797424316406, 'tokens/total': 5062656, 'tokens/trainable': 2289674, 'epoch': 24.24}
48%|βββββββββββββββββββββββββββββ | 315/650 [49:37<47:07, 8.44s/it]
49%|ββββββββββββββββββββββββββββββ | 316/650 [49:45<46:38, 8.38s/it]
49%|ββββββββββββββββββββββββββββββ | 317/650 [49:53<46:16, 8.34s/it]
49%|ββββββββββββββββββββββββββββββ | 318/650 [50:01<45:57, 8.31s/it]
49%|ββββββββββββββββββββββββββββββ | 319/650 [50:09<45:42, 8.29s/it]
49%|ββββββββββββββββββββββββββββββ | 320/650 [50:18<45:30, 8.27s/it]
{'loss': 2.8271, 'grad_norm': 1.492186427116394, 'learning_rate': 1.0797018551396527e-05, 'ppl': 16.89639, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 228.06138610839844, 'tokens/total': 5144576, 'tokens/trainable': 2327003, 'epoch': 24.63}
49%|ββββββββββββββββββββββββββββββ | 320/650 [50:18<45:30, 8.27s/it]
49%|ββββββββββββββββββββββββββββββ | 321/650 [50:26<45:19, 8.27s/it]
50%|ββββββββββββββββββββββββββββββ | 322/650 [50:34<45:09, 8.26s/it]
50%|ββββββββββββββββββββββββββββββ | 323/650 [50:42<45:00, 8.26s/it]
50%|ββββββββββββββββββββββββββββββ | 324/650 [50:51<44:50, 8.25s/it]
50%|ββββββββββββββββββββββββββββββ | 325/650 [50:57<41:26, 7.65s/it]
{'loss': 2.8195, 'grad_norm': 1.6219910383224487, 'learning_rate': 1.0548257014693602e-05, 'ppl': 16.76846, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 186.30055236816406, 'tokens/total': 5222400, 'tokens/trainable': 2361725, 'epoch': 25.0}
50%|ββββββββββββββββββββββββββββββ | 325/650 [50:57<41:26, 7.65s/it]
50%|ββββββββββββββββββββββββββββββ | 326/650 [51:07<45:12, 8.37s/it]
50%|βββββββββββββββββββββββββββββββ | 327/650 [51:15<44:52, 8.34s/it]
50%|βββββββββββββββββββββββββββββββ | 328/650 [51:24<44:36, 8.31s/it]
51%|βββββββββββββββββββββββββββββββ | 329/650 [51:32<44:22, 8.30s/it]
51%|βββββββββββββββββββββββββββββββ | 330/650 [51:40<44:11, 8.28s/it]
{'loss': 2.7829, 'grad_norm': 1.4858134984970093, 'learning_rate': 1.0299154661693987e-05, 'ppl': 16.16583, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 210.44517517089844, 'tokens/total': 5304320, 'tokens/trainable': 2398647, 'epoch': 25.39}
51%|βββββββββββββββββββββββββββββββ | 330/650 [51:40<44:11, 8.28s/it]
51%|βββββββββββββββββββββββββββββββ | 331/650 [51:48<44:00, 8.28s/it]
51%|βββββββββββββββββββββββββββββββ | 332/650 [51:57<43:50, 8.27s/it]
51%|βββββββββββββββββββββββββββββββ | 333/650 [52:05<43:41, 8.27s/it]
51%|βββββββββββββββββββββββββββββββ | 334/650 [52:13<43:32, 8.27s/it]
52%|βββββββββββββββββββββββββββββββ | 335/650 [52:21<43:23, 8.26s/it]
{'loss': 2.7914, 'grad_norm': 1.3230637311935425, 'learning_rate': 1.0049866343387582e-05, 'ppl': 16.30383, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 243.39698791503906, 'tokens/total': 5386240, 'tokens/trainable': 2436590, 'epoch': 25.78}
52%|βββββββββββββββββββββββββββββββ | 335/650 [52:21<43:23, 8.26s/it]
52%|βββββββββββββββββββββββββββββββ | 336/650 [52:30<43:15, 8.26s/it]
52%|βββββββββββββββββββββββββββββββ | 337/650 [52:38<43:05, 8.26s/it]
52%|ββββββββββββββββββββββββββββββββ | 338/650 [52:44<39:46, 7.65s/it]
52%|ββββββββββββββββββββββββββββββββ | 339/650 [52:54<43:40, 8.43s/it]
52%|ββββββββββββββββββββββββββββββββ | 340/650 [53:03<43:16, 8.38s/it]
{'loss': 2.8088, 'grad_norm': 1.4489848613739014, 'learning_rate': 9.800547026367022e-06, 'ppl': 16.59, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 224.92234802246094, 'tokens/total': 5464064, 'tokens/trainable': 2471039, 'epoch': 26.16}
52%|ββββββββββββββββββββββββββββββββ | 340/650 [53:03<43:16, 8.38s/it]
52%|ββββββββββββββββββββββββββββββββ | 341/650 [53:11<42:56, 8.34s/it]
53%|ββββββββββββββββββββββββββββββββ | 342/650 [53:19<42:40, 8.31s/it]
53%|ββββββββββββββββββββββββββββββββ | 343/650 [53:27<42:29, 8.30s/it]
53%|ββββββββββββββββββββββββββββββββ | 344/650 [53:36<42:16, 8.29s/it]
53%|ββββββββββββββββββββββββββββββββ | 345/650 [53:43<40:42, 8.01s/it]
{'loss': 2.7648, 'grad_norm': 1.5243545770645142, 'learning_rate': 9.551351696494854e-06, 'ppl': 15.87586, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 254.18601989746094, 'tokens/total': 5545984, 'tokens/trainable': 2508382, 'epoch': 26.55}
53%|ββββββββββββββββββββββββββββββββ | 345/650 [53:43<40:42, 8.01s/it]
53%|ββββββββββββββββββββββββββββββββ | 346/650 [53:50<39:33, 7.81s/it]
53%|ββββββββββββββββββββββββββββββββ | 347/650 [53:59<40:08, 7.95s/it]
54%|ββββββββββββββββββββββββββββββββ | 348/650 [54:07<40:28, 8.04s/it]
54%|βββββββββββββββββββββββββββββββββ | 349/650 [54:15<40:39, 8.10s/it]
54%|βββββββββββββββββββββββββββββββββ | 350/650 [54:23<40:44, 8.15s/it]
{'loss': 2.7646, 'grad_norm': 1.346397042274475, 'learning_rate': 9.302435262558748e-06, 'ppl': 15.87269, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 239.00399780273438, 'tokens/total': 5627904, 'tokens/trainable': 2545727, 'epoch': 26.94}
54%|βββββββββββββββββββββββββββββββββ | 350/650 [54:23<40:44, 8.15s/it][2026-01-24 14:19:56,877] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.85it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.83it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.85it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:45, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.89it/s][A
17%|βββββββββββ | 17/100 [00:09<00:59, 1.40it/s][A
18%|βββββββββββ | 18/100 [00:09<00:53, 1.53it/s][A
19%|ββββββββββββ | 19/100 [00:10<00:49, 1.63it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:46, 1.70it/s][A
21%|βββββββββββββ | 21/100 [00:11<00:45, 1.73it/s][A
22%|ββββββββββββββ | 22/100 [00:12<00:43, 1.78it/s][A
23%|ββββββββββββββ | 23/100 [00:12<00:42, 1.82it/s][A
24%|βββββββββββββββ | 24/100 [00:13<00:41, 1.85it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:41, 1.82it/s][A
26%|ββββββββββββββββ | 26/100 [00:14<00:39, 1.86it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.87it/s][A
28%|βββββββββββββββββ | 28/100 [00:15<00:38, 1.88it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.85it/s][A
30%|βββββββββββββββββββ | 30/100 [00:16<00:37, 1.87it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.88it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:17<00:35, 1.89it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:18<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:19<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:20<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:20<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:21<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:21<00:31, 1.89it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:22<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:23<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.89it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:24<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:25<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.89it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:26<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:27<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.89it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:28<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:29<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:29<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:30<00:23, 1.89it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:31<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:32<00:21, 1.89it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:33<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:34<00:19, 1.89it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:35<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:36<00:16, 1.89it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:37<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:37<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:38<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:38<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:39<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:40<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.89it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:41<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:42<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.89it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:43<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:44<00:09, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.89it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:45<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:46<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:46<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:47<00:06, 1.89it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.85it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:48<00:05, 1.87it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:49<00:04, 1.89it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.84it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:50<00:03, 1.87it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.88it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:51<00:02, 1.89it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.85it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:52<00:01, 1.87it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.81it/s][A
[A{'eval_loss': 1.7851392030715942, 'eval_runtime': 54.6859, 'eval_samples_per_second': 3.657, 'eval_steps_per_second': 1.829, 'eval_ppl': 5.96041, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 26.94, 'tokens/train_per_sec_per_gpu': 0.0}
54%|βββββββββββββββββββββββββββββββββ | 350/650 [55:18<40:44, 8.15s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.81it/s][A
[A
54%|ββββββββββββββββββββββββββββββββ | 351/650 [55:24<1:59:35, 24.00s/it]
54%|ββββββββββββββββββββββββββββββββ | 352/650 [55:35<1:38:45, 19.88s/it]
54%|ββββββββββββββββββββββββββββββββ | 353/650 [55:43<1:21:11, 16.40s/it]
54%|ββββββββββββββββββββββββββββββββ | 354/650 [55:51<1:08:51, 13.96s/it]
55%|ββββββββββββββββββββββββββββββββ | 355/650 [55:59<1:00:13, 12.25s/it]
{'loss': 2.729, 'grad_norm': 1.6997756958007812, 'learning_rate': 9.05395245997463e-06, 'ppl': 15.31756, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 241.9293975830078, 'tokens/total': 5705728, 'tokens/trainable': 2580343, 'epoch': 27.31}
55%|ββββββββββββββββββββββββββββββββ | 355/650 [55:59<1:00:13, 12.25s/it]
55%|βββββββββββββββββββββββββββββββββ | 356/650 [56:08<54:09, 11.05s/it]
55%|βββββββββββββββββββββββββββββββββ | 357/650 [56:16<49:53, 10.22s/it]
55%|βββββββββββββββββββββββββββββββββ | 358/650 [56:24<46:51, 9.63s/it]
55%|ββββββββββββββββββββββββββββββββββ | 359/650 [56:32<44:41, 9.22s/it]
55%|ββββββββββββββββββββββββββββββββββ | 360/650 [56:41<43:09, 8.93s/it]
{'loss': 2.7679, 'grad_norm': 1.5107603073120117, 'learning_rate': 8.806057754597559e-06, 'ppl': 15.92516, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 228.39883422851562, 'tokens/total': 5787648, 'tokens/trainable': 2617759, 'epoch': 27.71}
55%|ββββββββββββββββββββββββββββββββββ | 360/650 [56:41<43:09, 8.93s/it]
56%|ββββββββββββββββββββββββββββββββββ | 361/650 [56:49<42:02, 8.73s/it]
56%|ββββββββββββββββββββββββββββββββββ | 362/650 [56:57<41:12, 8.59s/it]
56%|ββββββββββββββββββββββββββββββββββ | 363/650 [57:05<40:35, 8.48s/it]
56%|ββββββββββββββββββββββββββββββββββ | 364/650 [57:12<37:15, 7.81s/it]
56%|ββββββββββββββββββββββββββββββββββ | 365/650 [57:22<40:31, 8.53s/it]
{'loss': 2.7165, 'grad_norm': 1.5286332368850708, 'learning_rate': 8.558905246700202e-06, 'ppl': 15.12728, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 241.69508361816406, 'tokens/total': 5865472, 'tokens/trainable': 2652851, 'epoch': 28.08}
56%|ββββββββββββββββββββββββββββββββββ | 365/650 [57:22<40:31, 8.53s/it]
56%|ββββββββββββββββββββββββββββββββββ | 366/650 [57:30<39:58, 8.45s/it]
56%|ββββββββββββββββββββββββββββββββββ | 367/650 [57:38<39:33, 8.39s/it]
57%|ββββββββββββββββββββββββββββββββββ | 368/650 [57:47<39:13, 8.35s/it]
57%|ββββββββββββββββββββββββββββββββββ | 369/650 [57:55<38:56, 8.31s/it]
57%|βββββββββββββββββββββββββββββββββββ | 370/650 [58:03<38:42, 8.29s/it]
{'loss': 2.755, 'grad_norm': 1.4682552814483643, 'learning_rate': 8.312648575178552e-06, 'ppl': 15.72104, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.88661193847656, 'tokens/total': 5947392, 'tokens/trainable': 2689749, 'epoch': 28.47}
57%|βββββββββββββββββββββββββββββββββββ | 370/650 [58:03<38:42, 8.29s/it]
57%|βββββββββββββββββββββββββββββββββββ | 371/650 [58:11<38:30, 8.28s/it]
57%|βββββββββββββββββββββββββββββββββββ | 372/650 [58:20<38:19, 8.27s/it]
57%|βββββββββββββββββββββββββββββββββββ | 373/650 [58:28<38:08, 8.26s/it]
58%|βββββββββββββββββββββββββββββββββββ | 374/650 [58:36<37:59, 8.26s/it]
58%|βββββββββββββββββββββββββββββββββββ | 375/650 [58:44<37:49, 8.25s/it]
{'loss': 2.7209, 'grad_norm': 1.2960118055343628, 'learning_rate': 8.06744082204447e-06, 'ppl': 15.19399, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 236.8324432373047, 'tokens/total': 6029312, 'tokens/trainable': 2727282, 'epoch': 28.86}
58%|βββββββββββββββββββββββββββββββββββ | 375/650 [58:44<37:49, 8.25s/it]
58%|βββββββββββββββββββββββββββββββββββ | 376/650 [58:53<37:40, 8.25s/it]
58%|βββββββββββββββββββββββββββββββββββ | 377/650 [58:59<34:47, 7.65s/it]
58%|βββββββββββββββββββββββββββββββββββ | 378/650 [59:09<38:14, 8.44s/it]
58%|βββββββββββββββββββββββββββββββββββ | 379/650 [59:17<37:50, 8.38s/it]
58%|βββββββββββββββββββββββββββββββββββ | 380/650 [59:25<36:16, 8.06s/it]
{'loss': 2.7082, 'grad_norm': 1.470637321472168, 'learning_rate': 7.823434417264378e-06, 'ppl': 15.00225, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 263.5998840332031, 'tokens/total': 6107136, 'tokens/trainable': 2761812, 'epoch': 29.24}
58%|βββββββββββββββββββββββββββββββββββ | 380/650 [59:25<36:16, 8.06s/it]
59%|ββββββββββββββββββββββββββββββββββββ | 381/650 [59:33<36:22, 8.11s/it]
59%|ββββββββββββββββββββββββββββββββββββ | 382/650 [59:41<36:24, 8.15s/it]
59%|ββββββββββββββββββββββββββββββββββββ | 383/650 [59:49<36:25, 8.18s/it]
59%|ββββββββββββββββββββββββββββββββββββ | 384/650 [59:58<36:22, 8.20s/it]
59%|βββββββββββββββββββββββββββββββββββ | 385/650 [1:00:06<36:16, 8.21s/it]
{'loss': 2.7407, 'grad_norm': 1.5776325464248657, 'learning_rate': 7.580781044003324e-06, 'ppl': 15.49783, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 217.9058380126953, 'tokens/total': 6189056, 'tokens/trainable': 2799357, 'epoch': 29.63}
59%|βββββββββββββββββββββββββββββββββββ | 385/650 [1:00:06<36:16, 8.21s/it]
59%|βββββββββββββββββββββββββββββββββββ | 386/650 [1:00:14<36:12, 8.23s/it]
60%|βββββββββββββββββββββββββββββββββββ | 387/650 [1:00:22<36:06, 8.24s/it]
60%|βββββββββββββββββββββββββββββββββββ | 388/650 [1:00:31<35:59, 8.24s/it]
60%|βββββββββββββββββββββββββββββββββββ | 389/650 [1:00:39<35:52, 8.25s/it]
60%|βββββββββββββββββββββββββββββββββββ | 390/650 [1:00:45<33:08, 7.65s/it]
{'loss': 2.6897, 'grad_norm': 1.5815974473953247, 'learning_rate': 7.33963154433325e-06, 'ppl': 14.72726, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 200.30467224121094, 'tokens/total': 6266880, 'tokens/trainable': 2834070, 'epoch': 30.0}
60%|βββββββββββββββββββββββββββββββββββ | 390/650 [1:00:45<33:08, 7.65s/it]
60%|βββββββββββββββββββββββββββββββββββ | 391/650 [1:00:55<36:19, 8.42s/it]
60%|βββββββββββββββββββββββββββββββββββ | 392/650 [1:01:04<35:59, 8.37s/it]
60%|βββββββββββββββββββββββββββββββββββ | 393/650 [1:01:12<35:42, 8.34s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 394/650 [1:01:20<35:29, 8.32s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 395/650 [1:01:28<35:16, 8.30s/it]
{'loss': 2.7001, 'grad_norm': 1.572016954421997, 'learning_rate': 7.100135825464138e-06, 'ppl': 14.88122, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 236.17343139648438, 'tokens/total': 6348800, 'tokens/trainable': 2871943, 'epoch': 30.39}
61%|ββββββββββββββββββββββββββββββββββββ | 395/650 [1:01:28<35:16, 8.30s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 396/650 [1:01:37<35:04, 8.29s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 397/650 [1:01:45<34:54, 8.28s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 398/650 [1:01:53<34:44, 8.27s/it]
61%|ββββββββββββββββββββββββββββββββββββ | 399/650 [1:02:01<34:34, 8.27s/it]
62%|ββββββββββββββββββββββββββββββββββββ | 400/650 [1:02:10<34:25, 8.26s/it]
{'loss': 2.6891, 'grad_norm': 1.3674300909042358, 'learning_rate': 6.862442766556297e-06, 'ppl': 14.71842, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 229.60092163085938, 'tokens/total': 6430720, 'tokens/trainable': 2908815, 'epoch': 30.78}
62%|ββββββββββββββββββββββββββββββββββββ | 400/650 [1:02:10<34:25, 8.26s/it][2026-01-24 14:27:43,271] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.86it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.83it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.85it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.83it/s][A
[A{'eval_loss': 1.7668417692184448, 'eval_runtime': 53.9832, 'eval_samples_per_second': 3.705, 'eval_steps_per_second': 1.852, 'eval_ppl': 5.85234, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 30.78, 'tokens/train_per_sec_per_gpu': 0.0}
62%|ββββββββββββββββββββββββββββββββββββ | 400/650 [1:03:04<34:25, 8.26s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.83it/s][A
[A[2026-01-24 14:28:37,265] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-400
62%|βββββββββββββββββββββββββββββββββββ | 401/650 [1:03:13<1:42:25, 24.68s/it]
62%|βββββββββββββββββββββββββββββββββββ | 402/650 [1:03:21<1:21:38, 19.75s/it]
62%|βββββββββββββββββββββββββββββββββββ | 403/650 [1:03:27<1:04:39, 15.71s/it]
62%|ββββββββββββββββββββββββββββββββββββ | 404/650 [1:03:37<57:40, 14.07s/it]
62%|βββββββββββββββββββββββββββββββββββββ | 405/650 [1:03:46<50:18, 12.32s/it]
{'loss': 2.6584, 'grad_norm': 1.4385159015655518, 'learning_rate': 6.6267001261717015e-06, 'ppl': 14.27343, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 242.539306640625, 'tokens/total': 6508544, 'tokens/trainable': 2943355, 'epoch': 31.16}
62%|βββββββββββββββββββββββββββββββββββββ | 405/650 [1:03:46<50:18, 12.32s/it]
62%|βββββββββββββββββββββββββββββββββββββ | 406/650 [1:03:54<45:09, 11.10s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 407/650 [1:04:02<41:30, 10.25s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 408/650 [1:04:11<38:54, 9.65s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 409/650 [1:04:19<37:04, 9.23s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 410/650 [1:04:27<35:44, 8.93s/it]
{'loss': 2.6745, 'grad_norm': 1.3860982656478882, 'learning_rate': 6.393054450421963e-06, 'ppl': 14.5051, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 227.2841339111328, 'tokens/total': 6590464, 'tokens/trainable': 2980426, 'epoch': 31.55}
63%|βββββββββββββββββββββββββββββββββββββ | 410/650 [1:04:27<35:44, 8.93s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 411/650 [1:04:35<34:45, 8.73s/it]
63%|βββββββββββββββββββββββββββββββββββββ | 412/650 [1:04:43<34:02, 8.58s/it]
64%|βββββββββββββββββββββββββββββββββββββ | 413/650 [1:04:52<33:30, 8.48s/it]
64%|βββββββββββββββββββββββββββββββββββββ | 414/650 [1:05:00<33:05, 8.41s/it]
64%|βββββββββββββββββββββββββββββββββββββ | 415/650 [1:05:08<32:45, 8.36s/it]
{'loss': 2.6757, 'grad_norm': 1.506183385848999, 'learning_rate': 6.1616509818699975e-06, 'ppl': 14.52251, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 237.92295837402344, 'tokens/total': 6672384, 'tokens/trainable': 3017993, 'epoch': 31.94}
64%|βββββββββββββββββββββββββββββββββββββ | 415/650 [1:05:08<32:45, 8.36s/it]
64%|βββββββββββββββββββββββββββββββββββββ | 416/650 [1:05:14<30:08, 7.73s/it]
64%|ββββββββββββββββββββββββββββββββββββββ | 417/650 [1:05:25<32:47, 8.45s/it]
64%|ββββββββββββββββββββββββββββββββββββββ | 418/650 [1:05:33<32:25, 8.38s/it]
64%|ββββββββββββββββββββββββββββββββββββββ | 419/650 [1:05:41<32:06, 8.34s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 420/650 [1:05:49<31:51, 8.31s/it]
{'loss': 2.6824, 'grad_norm': 1.30038321018219, 'learning_rate': 5.932633569242e-06, 'ppl': 14.62014, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 236.77151489257812, 'tokens/total': 6750208, 'tokens/trainable': 3052970, 'epoch': 32.31}
65%|ββββββββββββββββββββββββββββββββββββββ | 420/650 [1:05:49<31:51, 8.31s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 421/650 [1:05:58<31:39, 8.30s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 422/650 [1:06:06<31:28, 8.28s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 423/650 [1:06:14<31:18, 8.27s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 424/650 [1:06:22<31:08, 8.27s/it]
65%|ββββββββββββββββββββββββββββββββββββββ | 425/650 [1:06:31<30:58, 8.26s/it]
{'loss': 2.6681, 'grad_norm': 1.412518858909607, 'learning_rate': 5.706144578005908e-06, 'ppl': 14.41256, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.9322052001953, 'tokens/total': 6832128, 'tokens/trainable': 3089967, 'epoch': 32.71}
65%|ββββββββββββββββββββββββββββββββββββββ | 425/650 [1:06:31<30:58, 8.26s/it]
66%|ββββββββββββββββββββββββββββββββββββββ | 426/650 [1:06:39<30:49, 8.26s/it]
66%|ββββββββββββββββββββββββββββββββββββββ | 427/650 [1:06:47<30:41, 8.26s/it]
66%|βββββββββββββββββββββββββββββββββββββββ | 428/650 [1:06:55<30:32, 8.25s/it]
66%|βββββββββββββββββββββββββββββββββββββββ | 429/650 [1:07:02<28:10, 7.65s/it]
66%|βββββββββββββββββββββββββββββββββββββββ | 430/650 [1:07:12<30:46, 8.40s/it]
{'loss': 2.6753, 'grad_norm': 1.5622631311416626, 'learning_rate': 5.4823248018719184e-06, 'ppl': 14.5167, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.12832641601562, 'tokens/total': 6909952, 'tokens/trainable': 3125039, 'epoch': 33.08}
66%|βββββββββββββββββββββββββββββββββββββββ | 430/650 [1:07:12<30:46, 8.40s/it]
66%|βββββββββββββββββββββββββββββββββββββββ | 431/650 [1:07:20<30:29, 8.35s/it]
66%|βββββββββββββββββββββββββββββββββββββββ | 432/650 [1:07:28<30:14, 8.32s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 433/650 [1:07:36<30:01, 8.30s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 434/650 [1:07:45<29:49, 8.29s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 435/650 [1:07:53<29:38, 8.27s/it]
{'loss': 2.7232, 'grad_norm': 2.0204951763153076, 'learning_rate': 5.2613133752700145e-06, 'ppl': 15.22898, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 220.20835876464844, 'tokens/total': 6991872, 'tokens/trainable': 3162004, 'epoch': 33.47}
67%|βββββββββββββββββββββββββββββββββββββββ | 435/650 [1:07:53<29:38, 8.27s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 436/650 [1:08:01<29:29, 8.27s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 437/650 [1:08:09<29:19, 8.26s/it]
67%|βββββββββββββββββββββββββββββββββββββββ | 438/650 [1:08:18<29:11, 8.26s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 439/650 [1:08:26<29:02, 8.26s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 440/650 [1:08:34<28:54, 8.26s/it]
{'loss': 2.6203, 'grad_norm': 1.6616003513336182, 'learning_rate': 5.043247686859024e-06, 'ppl': 13.73984, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 234.8267364501953, 'tokens/total': 7073792, 'tokens/trainable': 3199441, 'epoch': 33.86}
68%|ββββββββββββββββββββββββββββββββββββββββ | 440/650 [1:08:34<28:54, 8.26s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 441/650 [1:08:43<28:46, 8.26s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 442/650 [1:08:49<26:33, 7.66s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 443/650 [1:08:59<28:59, 8.40s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 444/650 [1:09:07<28:41, 8.36s/it]
68%|ββββββββββββββββββββββββββββββββββββββββ | 445/650 [1:09:15<28:26, 8.33s/it]
{'loss': 2.5927, 'grad_norm': 1.363121509552002, 'learning_rate': 4.8282632941208725e-06, 'ppl': 13.36581, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 225.45587158203125, 'tokens/total': 7151616, 'tokens/trainable': 3234035, 'epoch': 34.24}
68%|ββββββββββββββββββββββββββββββββββββββββ | 445/650 [1:09:15<28:26, 8.33s/it]
69%|ββββββββββββββββββββββββββββββββββββββββ | 446/650 [1:09:24<28:13, 8.30s/it]
69%|ββββββββββββββββββββββββββββββββββββββββ | 447/650 [1:09:32<28:02, 8.29s/it]
69%|ββββββββββββββββββββββββββββββββββββββββ | 448/650 [1:09:40<27:51, 8.28s/it]
69%|ββββββββββββββββββββββββββββββββββββββββ | 449/650 [1:09:48<27:41, 8.27s/it]
69%|βββββββββββββββββββββββββββββββββββββββββ | 450/650 [1:09:57<27:32, 8.26s/it]
{'loss': 2.6843, 'grad_norm': 1.3428306579589844, 'learning_rate': 4.616493839093179e-06, 'ppl': 14.64794, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 217.40847778320312, 'tokens/total': 7233536, 'tokens/trainable': 3271329, 'epoch': 34.63}
69%|βββββββββββββββββββββββββββββββββββββββββ | 450/650 [1:09:57<27:32, 8.26s/it][2026-01-24 14:35:30,194] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.85it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:56, 1.69it/s][A
6%|ββββ | 6/100 [00:02<00:53, 1.76it/s][A
7%|βββββ | 7/100 [00:03<00:51, 1.81it/s][A
8%|βββββ | 8/100 [00:04<00:50, 1.84it/s][A
9%|ββββββ | 9/100 [00:04<00:50, 1.82it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.85it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.87it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.85it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.87it/s][A
15%|ββββββββββ | 15/100 [00:07<00:45, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:12<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:35, 1.79it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.90it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:31, 1.91it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:21<00:31, 1.91it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.87it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.89it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:29<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:38<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:46<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.758092999458313, 'eval_runtime': 54.0627, 'eval_samples_per_second': 3.699, 'eval_steps_per_second': 1.85, 'eval_ppl': 5.80136, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 34.63, 'tokens/train_per_sec_per_gpu': 0.0}
69%|βββββββββββββββββββββββββββββββββββββββββ | 450/650 [1:10:51<27:32, 8.26s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A
69%|βββββββββββββββββββββββββββββββββββββββ | 451/650 [1:10:59<1:21:14, 24.49s/it]
70%|βββββββββββββββββββββββββββββββββββββββ | 452/650 [1:11:07<1:04:45, 19.62s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 453/650 [1:11:16<53:13, 16.21s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 454/650 [1:11:24<45:08, 13.82s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 455/650 [1:11:30<37:31, 11.55s/it]
{'loss': 2.6419, 'grad_norm': 1.5269215106964111, 'learning_rate': 4.408070965292534e-06, 'ppl': 14.03985, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 233.68751525878906, 'tokens/total': 7311360, 'tokens/trainable': 3306415, 'epoch': 35.0}
70%|βββββββββββββββββββββββββββββββββββββββββ | 455/650 [1:11:30<37:31, 11.55s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 456/650 [1:11:40<35:56, 11.11s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 457/650 [1:11:48<32:59, 10.26s/it]
70%|βββββββββββββββββββββββββββββββββββββββββ | 458/650 [1:11:57<30:53, 9.65s/it]
71%|βββββββββββββββββββββββββββββββββββββββββ | 459/650 [1:12:05<29:23, 9.23s/it]
71%|βββββββββββββββββββββββββββββββββββββββββ | 460/650 [1:12:13<28:17, 8.94s/it]
{'loss': 2.6498, 'grad_norm': 1.5623174905776978, 'learning_rate': 4.203124235880179e-06, 'ppl': 14.15121, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.97872924804688, 'tokens/total': 7393280, 'tokens/trainable': 3343588, 'epoch': 35.39}
71%|βββββββββββββββββββββββββββββββββββββββββ | 460/650 [1:12:13<28:17, 8.94s/it]
71%|ββββββββββββββββββββββββββββββββββββββββββ | 461/650 [1:12:21<27:29, 8.73s/it]
71%|ββββββββββββββββββββββββββββββββββββββββββ | 462/650 [1:12:30<26:54, 8.59s/it]
71%|ββββββββββββββββββββββββββββββββββββββββββ | 463/650 [1:12:38<26:26, 8.48s/it]
71%|ββββββββββββββββββββββββββββββββββββββββββ | 464/650 [1:12:46<26:04, 8.41s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 465/650 [1:12:54<25:46, 8.36s/it]
{'loss': 2.6411, 'grad_norm': 1.2584384679794312, 'learning_rate': 4.001781053120863e-06, 'ppl': 14.02863, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.45700073242188, 'tokens/total': 7475200, 'tokens/trainable': 3381149, 'epoch': 35.78}
72%|ββββββββββββββββββββββββββββββββββββββββββ | 465/650 [1:12:54<25:46, 8.36s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 466/650 [1:13:03<25:31, 8.32s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 467/650 [1:13:11<25:18, 8.30s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 468/650 [1:13:17<23:18, 7.68s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 469/650 [1:13:27<25:25, 8.43s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 470/650 [1:13:35<25:07, 8.37s/it]
{'loss': 2.6171, 'grad_norm': 2.3391544818878174, 'learning_rate': 3.804166579185018e-06, 'ppl': 13.69595, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 235.0704803466797, 'tokens/total': 7553024, 'tokens/trainable': 3415846, 'epoch': 36.16}
72%|ββββββββββββββββββββββββββββββββββββββββββ | 470/650 [1:13:35<25:07, 8.37s/it]
72%|ββββββββββββββββββββββββββββββββββββββββββ | 471/650 [1:13:44<24:51, 8.33s/it]
73%|ββββββββββββββββββββββββββββββββββββββββββ | 472/650 [1:13:52<24:38, 8.30s/it]
73%|βββββββββββββββββββββββββββββββββββββββββββ | 473/650 [1:14:00<24:27, 8.29s/it]
73%|βββββββββββββββββββββββββββββββββββββββββββ | 474/650 [1:14:08<24:16, 8.27s/it]
73%|βββββββββββββββββββββββββββββββββββββββββββ | 475/650 [1:14:17<24:07, 8.27s/it]
{'loss': 2.632, 'grad_norm': 1.43043053150177, 'learning_rate': 3.610403658343443e-06, 'ppl': 13.90155, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 205.83262634277344, 'tokens/total': 7634944, 'tokens/trainable': 3453459, 'epoch': 36.55}
73%|βββββββββββββββββββββββββββββββββββββββββββ | 475/650 [1:14:17<24:07, 8.27s/it]
73%|βββββββββββββββββββββββββββββββββββββββββββ | 476/650 [1:14:25<23:57, 8.26s/it]
73%|βββββββββββββββββββββββββββββββββββββββββββ | 477/650 [1:14:33<23:48, 8.26s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 478/650 [1:14:41<23:39, 8.25s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 479/650 [1:14:50<23:30, 8.25s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 480/650 [1:14:58<23:21, 8.24s/it]
{'loss': 2.6387, 'grad_norm': 1.3542659282684326, 'learning_rate': 3.4206127406028744e-06, 'ppl': 13.995, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 209.72723388671875, 'tokens/total': 7716864, 'tokens/trainable': 3490192, 'epoch': 36.94}
74%|βββββββββββββββββββββββββββββββββββββββββββ | 480/650 [1:14:58<23:21, 8.24s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 481/650 [1:15:04<21:31, 7.64s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 482/650 [1:15:14<23:28, 8.38s/it]
74%|βββββββββββββββββββββββββββββββββββββββββββ | 483/650 [1:15:23<23:13, 8.34s/it]
74%|ββββββββββββββββββββββββββββββββββββββββββββ | 484/650 [1:15:31<22:59, 8.31s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 485/650 [1:15:39<22:47, 8.29s/it]
{'loss': 2.6439, 'grad_norm': 1.367038369178772, 'learning_rate': 3.234911806829948e-06, 'ppl': 14.06796, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 213.08050537109375, 'tokens/total': 7794688, 'tokens/trainable': 3524600, 'epoch': 37.31}
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 485/650 [1:15:39<22:47, 8.29s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 486/650 [1:15:47<22:37, 8.28s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 487/650 [1:15:55<22:27, 8.27s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 488/650 [1:16:04<22:17, 8.26s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 489/650 [1:16:12<22:09, 8.25s/it]
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 490/650 [1:16:20<22:00, 8.25s/it]
{'loss': 2.6147, 'grad_norm': 1.3298630714416504, 'learning_rate': 3.0534162954100264e-06, 'ppl': 13.66312, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 223.60806274414062, 'tokens/total': 7876608, 'tokens/trainable': 3561920, 'epoch': 37.71}
75%|ββββββββββββββββββββββββββββββββββββββββββββ | 490/650 [1:16:20<22:00, 8.25s/it]
76%|ββββββββββββββββββββββββββββββββββββββββββββ | 491/650 [1:16:28<21:51, 8.25s/it]
76%|ββββββββββββββββββββββββββββββββββββββββββββ | 492/650 [1:16:37<21:42, 8.24s/it]
76%|ββββββββββββββββββββββββββββββββββββββββββββ | 493/650 [1:16:45<21:34, 8.25s/it]
76%|ββββββββββββββββββββββββββββββββββββββββββββ | 494/650 [1:16:51<19:52, 7.65s/it]
76%|βββββββββββββββββββββββββββββββββββββββββββββ | 495/650 [1:17:01<21:41, 8.40s/it]
{'loss': 2.6059, 'grad_norm': 1.354701042175293, 'learning_rate': 2.876239030486554e-06, 'ppl': 13.54341, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.70867919921875, 'tokens/total': 7954432, 'tokens/trainable': 3597435, 'epoch': 38.08}
76%|βββββββββββββββββββββββββββββββββββββββββββββ | 495/650 [1:17:01<21:41, 8.40s/it]
76%|βββββββββββββββββββββββββββββββββββββββββββββ | 496/650 [1:17:10<21:26, 8.35s/it]
76%|βββββββββββββββββββββββββββββββββββββββββββββ | 497/650 [1:17:18<21:12, 8.32s/it]
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 498/650 [1:17:26<21:00, 8.29s/it]
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 499/650 [1:17:34<20:49, 8.28s/it]
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 500/650 [1:17:43<20:39, 8.27s/it]
{'loss': 2.6048, 'grad_norm': 1.7885570526123047, 'learning_rate': 2.703490151825492e-06, 'ppl': 13.52852, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.56715393066406, 'tokens/total': 8036352, 'tokens/trainable': 3634384, 'epoch': 38.47}
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 500/650 [1:17:43<20:39, 8.27s/it][2026-01-24 14:43:16,073] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.86it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.72it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.81it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.87it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.87it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.86it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:44, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.89it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.90it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:39, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:35, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:29<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:08, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.85it/s][A
[A{'eval_loss': 1.7533553838729858, 'eval_runtime': 53.9658, 'eval_samples_per_second': 3.706, 'eval_steps_per_second': 1.853, 'eval_ppl': 5.77394, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 38.47, 'tokens/train_per_sec_per_gpu': 0.0}
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 500/650 [1:18:37<20:39, 8.27s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.85it/s][A
[A[2026-01-24 14:44:10,048] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-500
77%|ββββββββββββββββββββββββββββββββββββββββββββ | 501/650 [1:18:46<1:01:21, 24.71s/it]
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 502/650 [1:18:54<48:46, 19.77s/it]
77%|βββββββββββββββββββββββββββββββββββββββββββββ | 503/650 [1:19:02<39:57, 16.31s/it]
78%|βββββββββββββββββββββββββββββββββββββββββββββ | 504/650 [1:19:10<33:48, 13.90s/it]
78%|βββββββββββββββββββββββββββββββββββββββββββββ | 505/650 [1:19:19<29:29, 12.20s/it]
{'loss': 2.6406, 'grad_norm': 1.8489106893539429, 'learning_rate': 2.5352770463484986e-06, 'ppl': 14.02161, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 229.4249725341797, 'tokens/total': 8118272, 'tokens/trainable': 3671583, 'epoch': 38.86}
78%|βββββββββββββββββββββββββββββββββββββββββββββ | 505/650 [1:19:19<29:29, 12.20s/it]
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 506/650 [1:19:27<26:26, 11.02s/it]
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 507/650 [1:19:33<22:51, 9.59s/it]
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 508/650 [1:19:43<23:04, 9.75s/it]
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 509/650 [1:19:52<21:51, 9.30s/it]
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 510/650 [1:19:59<20:19, 8.71s/it]
{'loss': 2.629, 'grad_norm': 1.4269434213638306, 'learning_rate': 2.371704281377335e-06, 'ppl': 13.8599, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 256.02679443359375, 'tokens/total': 8196096, 'tokens/trainable': 3706605, 'epoch': 39.24}
78%|ββββββββββββββββββββββββββββββββββββββββββββββ | 510/650 [1:19:59<20:19, 8.71s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 511/650 [1:20:07<19:51, 8.57s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 512/650 [1:20:15<19:29, 8.48s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 513/650 [1:20:24<19:11, 8.41s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 514/650 [1:20:32<18:56, 8.36s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 515/650 [1:20:40<18:43, 8.33s/it]
{'loss': 2.6052, 'grad_norm': 1.502051830291748, 'learning_rate': 2.2128735396310606e-06, 'ppl': 13.53393, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.72364807128906, 'tokens/total': 8278016, 'tokens/trainable': 3744295, 'epoch': 39.63}
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 515/650 [1:20:40<18:43, 8.33s/it]
79%|ββββββββββββββββββββββββββββββββββββββββββββββ | 516/650 [1:20:48<18:32, 8.30s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 517/650 [1:20:57<18:22, 8.29s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 518/650 [1:21:05<18:12, 8.27s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 519/650 [1:21:13<18:02, 8.26s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 520/650 [1:21:19<16:35, 7.66s/it]
{'loss': 2.6347, 'grad_norm': 1.6698100566864014, 'learning_rate': 2.05888355601639e-06, 'ppl': 13.93913, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 208.06512451171875, 'tokens/total': 8355840, 'tokens/trainable': 3778760, 'epoch': 40.0}
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 520/650 [1:21:19<16:35, 7.66s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 521/650 [1:21:29<18:03, 8.40s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 522/650 [1:21:38<17:49, 8.36s/it]
80%|βββββββββββββββββββββββββββββββββββββββββββββββ | 523/650 [1:21:46<17:37, 8.33s/it]
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 524/650 [1:21:54<17:26, 8.30s/it]
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 525/650 [1:22:02<17:16, 8.29s/it]
{'loss': 2.6084, 'grad_norm': 1.3377642631530762, 'learning_rate': 1.9098300562505266e-06, 'ppl': 13.57731, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.1595916748047, 'tokens/total': 8437760, 'tokens/trainable': 3816182, 'epoch': 40.39}
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 525/650 [1:22:02<17:16, 8.29s/it]
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 526/650 [1:22:11<17:06, 8.28s/it]
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 527/650 [1:22:19<16:57, 8.28s/it]
81%|βββββββββββββββββββββββββββββββββββββββββββββββ | 528/650 [1:22:27<16:48, 8.27s/it]
81%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 529/650 [1:22:35<16:40, 8.26s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 530/650 [1:22:44<16:31, 8.26s/it]
{'loss': 2.6119, 'grad_norm': 1.3317139148712158, 'learning_rate': 1.765805697354608e-06, 'ppl': 13.62491, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 231.95037841796875, 'tokens/total': 8519680, 'tokens/trainable': 3853350, 'epoch': 40.78}
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 530/650 [1:22:44<16:31, 8.26s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 531/650 [1:22:52<16:22, 8.26s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 532/650 [1:23:00<16:14, 8.26s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 533/650 [1:23:06<14:55, 7.65s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 534/650 [1:23:16<15:42, 8.13s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 535/650 [1:23:24<15:38, 8.16s/it]
{'loss': 2.6077, 'grad_norm': 1.3852050304412842, 'learning_rate': 1.6269000100547682e-06, 'ppl': 13.56781, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 216.89588928222656, 'tokens/total': 8597504, 'tokens/trainable': 3888209, 'epoch': 41.16}
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 535/650 [1:23:24<15:38, 8.16s/it]
82%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 536/650 [1:23:32<15:33, 8.19s/it]
83%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 537/650 [1:23:40<15:27, 8.21s/it]
83%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 538/650 [1:23:49<15:20, 8.22s/it]
83%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 539/650 [1:23:57<15:13, 8.23s/it]
83%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 540/650 [1:24:05<15:05, 8.24s/it]
{'loss': 2.6187, 'grad_norm': 1.2737482786178589, 'learning_rate': 1.4931993431266056e-06, 'ppl': 13.71788, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 240.7917938232422, 'tokens/total': 8679424, 'tokens/trainable': 3925107, 'epoch': 41.55}
83%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 540/650 [1:24:05<15:05, 8.24s/it]
83%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 541/650 [1:24:13<14:58, 8.24s/it]
83%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 542/650 [1:24:22<14:50, 8.25s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 543/650 [1:24:30<14:42, 8.25s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 544/650 [1:24:38<14:33, 8.24s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 545/650 [1:24:46<14:25, 8.25s/it]
{'loss': 2.6447, 'grad_norm': 1.2583863735198975, 'learning_rate': 1.364786809717692e-06, 'ppl': 14.07922, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 229.8025360107422, 'tokens/total': 8761344, 'tokens/trainable': 3962486, 'epoch': 41.94}
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 545/650 [1:24:46<14:25, 8.25s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 546/650 [1:24:53<13:15, 7.65s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 547/650 [1:25:03<14:25, 8.40s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 548/650 [1:25:11<14:11, 8.35s/it]
84%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 549/650 [1:25:19<14:00, 8.32s/it]
85%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 550/650 [1:25:28<13:49, 8.30s/it]
{'loss': 2.6118, 'grad_norm': 1.8680920600891113, 'learning_rate': 1.2417422356814345e-06, 'ppl': 13.62355, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 198.96746826171875, 'tokens/total': 8839168, 'tokens/trainable': 3997476, 'epoch': 42.31}
85%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 550/650 [1:25:28<13:49, 8.30s/it][2026-01-24 14:51:01,152] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.85it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.84it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:47, 1.84it/s][A
14%|βββββββββ | 14/100 [00:07<00:46, 1.87it/s][A
15%|ββββββββββ | 15/100 [00:07<00:45, 1.88it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.89it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:21, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:19, 1.89it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.89it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:38<00:14, 1.89it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.85it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.89it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.89it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:09, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.89it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.90it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.7504650354385376, 'eval_runtime': 54.0358, 'eval_samples_per_second': 3.701, 'eval_steps_per_second': 1.851, 'eval_ppl': 5.75728, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 42.31, 'tokens/train_per_sec_per_gpu': 0.0}
85%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 550/650 [1:26:22<13:49, 8.30s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 551/650 [1:26:30<40:26, 24.51s/it]
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 552/650 [1:26:38<32:04, 19.63s/it]
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 553/650 [1:26:46<26:12, 16.22s/it]
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 554/650 [1:26:55<22:07, 13.82s/it]
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 555/650 [1:27:03<19:14, 12.15s/it]
{'loss': 2.5915, 'grad_norm': 2.939488410949707, 'learning_rate': 1.124142109954459e-06, 'ppl': 13.34978, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 226.67120361328125, 'tokens/total': 8921088, 'tokens/trainable': 4034699, 'epoch': 42.71}
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 555/650 [1:27:03<19:14, 12.15s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 556/650 [1:27:11<17:12, 10.98s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 557/650 [1:27:19<15:44, 10.16s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 558/650 [1:27:28<14:41, 9.58s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 559/650 [1:27:34<13:00, 8.58s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 560/650 [1:27:44<13:34, 9.05s/it]
{'loss': 2.6333, 'grad_norm': 1.4904693365097046, 'learning_rate': 1.012059537008332e-06, 'ppl': 13.91963, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 211.8202667236328, 'tokens/total': 8998912, 'tokens/trainable': 4069449, 'epoch': 43.08}
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 560/650 [1:27:44<13:34, 9.05s/it]
86%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 561/650 [1:27:52<13:03, 8.81s/it]
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 562/650 [1:28:01<12:40, 8.64s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 563/650 [1:28:09<12:21, 8.52s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 564/650 [1:28:17<12:05, 8.44s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 565/650 [1:28:25<11:52, 8.38s/it]
{'loss': 2.6157, 'grad_norm': 1.5149389505386353, 'learning_rate': 9.055641914051783e-07, 'ppl': 13.67679, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 223.85400390625, 'tokens/total': 9080832, 'tokens/trainable': 4106635, 'epoch': 43.47}
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 565/650 [1:28:25<11:52, 8.38s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 566/650 [1:28:34<11:41, 8.35s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 567/650 [1:28:42<11:30, 8.32s/it]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 568/650 [1:28:50<11:20, 8.30s/it]
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 569/650 [1:28:58<11:11, 8.29s/it]
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 570/650 [1:29:07<11:02, 8.28s/it]
{'loss': 2.607, 'grad_norm': 1.4548736810684204, 'learning_rate': 8.047222744854943e-07, 'ppl': 13.55831, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 230.1149139404297, 'tokens/total': 9162752, 'tokens/trainable': 4144144, 'epoch': 43.86}
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 570/650 [1:29:07<11:02, 8.28s/it]
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 571/650 [1:29:15<10:53, 8.27s/it]
88%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 572/650 [1:29:21<09:57, 7.66s/it]
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 573/650 [1:29:31<10:47, 8.41s/it]
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 574/650 [1:29:40<10:35, 8.37s/it]
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 575/650 [1:29:48<10:25, 8.33s/it]
{'loss': 2.571, 'grad_norm': 1.3647756576538086, 'learning_rate': 7.095964732149741e-07, 'ppl': 13.0789, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 229.0497283935547, 'tokens/total': 9240576, 'tokens/trainable': 4178948, 'epoch': 44.24}
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 575/650 [1:29:48<10:25, 8.33s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 576/650 [1:29:56<10:15, 8.31s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 577/650 [1:30:04<10:05, 8.29s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 578/650 [1:30:13<09:55, 8.28s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 579/650 [1:30:21<09:46, 8.27s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 580/650 [1:30:29<09:38, 8.26s/it]
{'loss': 2.6009, 'grad_norm': 1.5256224870681763, 'learning_rate': 6.202459212160638e-07, 'ppl': 13.47586, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 223.7174835205078, 'tokens/total': 9322496, 'tokens/trainable': 4216437, 'epoch': 44.63}
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 580/650 [1:30:29<09:38, 8.26s/it]
89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 581/650 [1:30:37<09:29, 8.25s/it]
90%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 582/650 [1:30:45<09:21, 8.25s/it]
90%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 583/650 [1:30:54<09:12, 8.25s/it]
90%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 584/650 [1:31:02<09:04, 8.25s/it]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 585/650 [1:31:08<08:16, 7.64s/it]
{'loss': 2.6057, 'grad_norm': 1.5354381799697876, 'learning_rate': 5.367261620083575e-07, 'ppl': 13.5407, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 213.19332885742188, 'tokens/total': 9400320, 'tokens/trainable': 4251105, 'epoch': 45.0}
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 585/650 [1:31:08<08:16, 7.64s/it]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 586/650 [1:31:18<08:58, 8.41s/it]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 587/650 [1:31:27<08:46, 8.36s/it]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 588/650 [1:31:35<08:36, 8.33s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 589/650 [1:31:43<08:26, 8.30s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 590/650 [1:31:51<08:17, 8.28s/it]
{'loss': 2.5728, 'grad_norm': 1.498939037322998, 'learning_rate': 4.5908911448075746e-07, 'ppl': 13.10246, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 208.5529327392578, 'tokens/total': 9482240, 'tokens/trainable': 4288708, 'epoch': 45.39}
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 590/650 [1:31:51<08:17, 8.28s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 591/650 [1:32:00<08:08, 8.28s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 592/650 [1:32:08<07:59, 8.27s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 593/650 [1:32:16<07:50, 8.26s/it]
91%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 594/650 [1:32:24<07:42, 8.26s/it]
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 595/650 [1:32:33<07:33, 8.25s/it]
{'loss': 2.6226, 'grad_norm': 1.6790930032730103, 'learning_rate': 3.8738304061681107e-07, 'ppl': 13.77148, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 224.23695373535156, 'tokens/total': 9564160, 'tokens/trainable': 4325772, 'epoch': 45.78}
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 595/650 [1:32:33<07:33, 8.25s/it]
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 596/650 [1:32:41<07:25, 8.25s/it]
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 597/650 [1:32:49<07:17, 8.25s/it]
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 598/650 [1:32:55<06:37, 7.65s/it]
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 599/650 [1:33:05<07:07, 8.39s/it]
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 600/650 [1:33:14<06:57, 8.35s/it]
{'loss': 2.6024, 'grad_norm': 1.36123788356781, 'learning_rate': 3.2165251549333585e-07, 'ppl': 13.49609, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 226.9879608154297, 'tokens/total': 9641984, 'tokens/trainable': 4360627, 'epoch': 46.16}
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 600/650 [1:33:14<06:57, 8.35s/it][2026-01-24 14:58:47,274] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.85it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.35it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.75it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.80it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.84it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.86it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.83it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.86it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.88it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.89it/s][A
13%|ββββββββ | 13/100 [00:06<00:46, 1.85it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.88it/s][A
15%|ββββββββββ | 15/100 [00:07<00:45, 1.89it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.90it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:20<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:28<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.90it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:20, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:18, 1.90it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:37<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.90it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.90it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:09, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:45<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.89it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.86it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.89it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.89it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:52<00:00, 1.82it/s][A
[A{'eval_loss': 1.750334620475769, 'eval_runtime': 54.0532, 'eval_samples_per_second': 3.7, 'eval_steps_per_second': 1.85, 'eval_ppl': 5.75653, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 46.16, 'tokens/train_per_sec_per_gpu': 0.0}
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 600/650 [1:34:08<06:57, 8.35s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A[2026-01-24 14:59:41,336] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-600
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 601/650 [1:34:17<20:15, 24.81s/it]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 602/650 [1:34:25<15:52, 19.85s/it]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 603/650 [1:34:33<12:49, 16.37s/it]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 604/650 [1:34:42<10:40, 13.93s/it]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 605/650 [1:34:49<08:57, 11.95s/it]
{'loss': 2.6019, 'grad_norm': 1.2960628271102905, 'learning_rate': 2.6193839957093683e-07, 'ppl': 13.48934, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 255.81251525878906, 'tokens/total': 9723904, 'tokens/trainable': 4397575, 'epoch': 46.55}
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 605/650 [1:34:49<08:57, 11.95s/it]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 606/650 [1:34:57<07:57, 10.84s/it]
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 607/650 [1:35:06<07:13, 10.07s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 608/650 [1:35:14<06:40, 9.53s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 609/650 [1:35:22<06:15, 9.15s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 610/650 [1:35:30<05:55, 8.88s/it]
{'loss': 2.6131, 'grad_norm': 1.4798760414123535, 'learning_rate': 2.082778132936858e-07, 'ppl': 13.64127, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 211.33847045898438, 'tokens/total': 9805824, 'tokens/trainable': 4435252, 'epoch': 46.94}
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 610/650 [1:35:30<05:55, 8.88s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 611/650 [1:35:37<05:15, 8.10s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 612/650 [1:35:47<05:32, 8.76s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 613/650 [1:35:55<05:18, 8.60s/it]
94%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 614/650 [1:36:03<05:05, 8.50s/it]
95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 615/650 [1:36:12<04:54, 8.42s/it]
{'loss': 2.6039, 'grad_norm': 1.4365811347961426, 'learning_rate': 1.6070411401370335e-07, 'ppl': 13.51635, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 219.77572631835938, 'tokens/total': 9883648, 'tokens/trainable': 4469887, 'epoch': 47.31}
95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 615/650 [1:36:12<04:54, 8.42s/it]
95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 616/650 [1:36:20<04:44, 8.37s/it]
95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 617/650 [1:36:28<04:35, 8.33s/it]
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 618/650 [1:36:36<04:25, 8.31s/it]
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 619/650 [1:36:45<04:17, 8.29s/it]
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 620/650 [1:36:53<04:08, 8.29s/it]
{'loss': 2.5701, 'grad_norm': 1.370497226715088, 'learning_rate': 1.192468752550402e-07, 'ppl': 13.06713, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 240.24427795410156, 'tokens/total': 9965568, 'tokens/trainable': 4507458, 'epoch': 47.71}
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 620/650 [1:36:53<04:08, 8.29s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 621/650 [1:37:01<03:59, 8.27s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 622/650 [1:37:09<03:51, 8.27s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 623/650 [1:37:18<03:43, 8.26s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 624/650 [1:37:24<03:19, 7.66s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 625/650 [1:37:34<03:29, 8.38s/it]
{'loss': 2.5994, 'grad_norm': 1.9178601503372192, 'learning_rate': 8.393186832969746e-08, 'ppl': 13.45566, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 219.11024475097656, 'tokens/total': 10043392, 'tokens/trainable': 4541957, 'epoch': 48.08}
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 625/650 [1:37:34<03:29, 8.38s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 626/650 [1:37:42<03:20, 8.34s/it]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 627/650 [1:37:50<03:11, 8.31s/it]
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 628/650 [1:37:59<03:02, 8.29s/it]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 629/650 [1:38:07<02:53, 8.28s/it]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 630/650 [1:38:15<02:45, 8.27s/it]
{'loss': 2.6103, 'grad_norm': 1.330645203590393, 'learning_rate': 5.4781046317267103e-08, 'ppl': 13.60313, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 238.9775848388672, 'tokens/total': 10125312, 'tokens/trainable': 4578931, 'epoch': 48.47}
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 630/650 [1:38:15<02:45, 8.27s/it]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 631/650 [1:38:23<02:37, 8.26s/it]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 632/650 [1:38:32<02:28, 8.26s/it]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 633/650 [1:38:40<02:20, 8.25s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 634/650 [1:38:48<02:12, 8.25s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 635/650 [1:38:56<02:03, 8.25s/it]
{'loss': 2.6172, 'grad_norm': 1.4630374908447266, 'learning_rate': 3.181253041809052e-08, 'ppl': 13.69732, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 236.7567596435547, 'tokens/total': 10207232, 'tokens/trainable': 4616278, 'epoch': 48.86}
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 635/650 [1:38:56<02:03, 8.25s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 636/650 [1:39:05<01:55, 8.25s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 637/650 [1:39:11<01:39, 7.65s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 638/650 [1:39:21<01:40, 8.39s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 639/650 [1:39:29<01:31, 8.34s/it]
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 640/650 [1:39:38<01:23, 8.31s/it]
{'loss': 2.5952, 'grad_norm': 1.9492207765579224, 'learning_rate': 1.5040598688482732e-08, 'ppl': 13.39927, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 232.969970703125, 'tokens/total': 10285056, 'tokens/trainable': 4651282, 'epoch': 49.24}
98%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 640/650 [1:39:38<01:23, 8.31s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 641/650 [1:39:46<01:14, 8.30s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 642/650 [1:39:54<01:06, 8.28s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 643/650 [1:40:02<00:57, 8.28s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 644/650 [1:40:11<00:49, 8.27s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 645/650 [1:40:19<00:41, 8.27s/it]
{'loss': 2.6223, 'grad_norm': 1.9795691967010498, 'learning_rate': 4.475677164966774e-09, 'ppl': 13.76735, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 218.2692413330078, 'tokens/total': 10366976, 'tokens/trainable': 4688745, 'epoch': 49.63}
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 645/650 [1:40:19<00:41, 8.27s/it]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 646/650 [1:40:27<00:33, 8.27s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 647/650 [1:40:35<00:24, 8.27s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 648/650 [1:40:44<00:16, 8.26s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 649/650 [1:40:52<00:08, 8.27s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 650/650 [1:40:58<00:00, 7.68s/it]
{'loss': 2.5727, 'grad_norm': 1.5955945253372192, 'learning_rate': 1.2433338308137645e-10, 'ppl': 13.10115, 'memory/max_active (GiB)': 30.06, 'memory/max_allocated (GiB)': 30.06, 'memory/device_reserved (GiB)': 31.79, 'tokens/train_per_sec_per_gpu': 236.20530700683594, 'tokens/total': 10444800, 'tokens/trainable': 4723450, 'epoch': 50.0}
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 650/650 [1:40:58<00:00, 7.68s/it][2026-01-24 15:06:31,727] [INFO] [axolotl.core.trainers.base.evaluate:400] [PID:9359] Running evaluation step...
0%| | 0/100 [00:00<?, ?it/s][A
2%|ββ | 2/100 [00:00<00:25, 3.84it/s][A
3%|ββ | 3/100 [00:01<00:35, 2.71it/s][A
4%|βββ | 4/100 [00:01<00:40, 2.34it/s][A
5%|βββ | 5/100 [00:02<00:54, 1.74it/s][A
6%|ββββ | 6/100 [00:02<00:52, 1.79it/s][A
7%|βββββ | 7/100 [00:03<00:50, 1.83it/s][A
8%|βββββ | 8/100 [00:03<00:49, 1.85it/s][A
9%|ββββββ | 9/100 [00:04<00:49, 1.82it/s][A
10%|ββββββ | 10/100 [00:05<00:48, 1.85it/s][A
11%|βββββββ | 11/100 [00:05<00:47, 1.87it/s][A
12%|ββββββββ | 12/100 [00:06<00:46, 1.88it/s][A
13%|ββββββββ | 13/100 [00:06<00:47, 1.85it/s][A
14%|βββββββββ | 14/100 [00:07<00:45, 1.87it/s][A
15%|ββββββββββ | 15/100 [00:07<00:45, 1.88it/s][A
16%|ββββββββββ | 16/100 [00:08<00:44, 1.89it/s][A
17%|βββββββββββ | 17/100 [00:08<00:44, 1.86it/s][A
18%|βββββββββββ | 18/100 [00:09<00:43, 1.88it/s][A
19%|ββββββββββββ | 19/100 [00:09<00:42, 1.89it/s][A
20%|βββββββββββββ | 20/100 [00:10<00:42, 1.90it/s][A
21%|βββββββββββββ | 21/100 [00:10<00:42, 1.86it/s][A
22%|ββββββββββββββ | 22/100 [00:11<00:41, 1.88it/s][A
23%|ββββββββββββββ | 23/100 [00:11<00:40, 1.89it/s][A
24%|βββββββββββββββ | 24/100 [00:12<00:40, 1.90it/s][A
25%|ββββββββββββββββ | 25/100 [00:13<00:40, 1.86it/s][A
26%|ββββββββββββββββ | 26/100 [00:13<00:39, 1.88it/s][A
27%|βββββββββββββββββ | 27/100 [00:14<00:38, 1.89it/s][A
28%|βββββββββββββββββ | 28/100 [00:14<00:37, 1.90it/s][A
29%|ββββββββββββββββββ | 29/100 [00:15<00:38, 1.86it/s][A
30%|βββββββββββββββββββ | 30/100 [00:15<00:37, 1.88it/s][A
31%|βββββββββββββββββββ | 31/100 [00:16<00:36, 1.89it/s][A
32%|ββββββββββββββββββββ | 32/100 [00:16<00:35, 1.90it/s][A
33%|βββββββββββββββββββββ | 33/100 [00:17<00:36, 1.86it/s][A
34%|βββββββββββββββββββββ | 34/100 [00:17<00:35, 1.88it/s][A
35%|ββββββββββββββββββββββ | 35/100 [00:18<00:34, 1.89it/s][A
36%|ββββββββββββββββββββββ | 36/100 [00:18<00:33, 1.90it/s][A
37%|βββββββββββββββββββββββ | 37/100 [00:19<00:33, 1.86it/s][A
38%|ββββββββββββββββββββββββ | 38/100 [00:19<00:32, 1.88it/s][A
39%|ββββββββββββββββββββββββ | 39/100 [00:20<00:32, 1.89it/s][A
40%|βββββββββββββββββββββββββ | 40/100 [00:21<00:31, 1.90it/s][A
41%|βββββββββββββββββββββββββ | 41/100 [00:21<00:31, 1.86it/s][A
42%|ββββββββββββββββββββββββββ | 42/100 [00:22<00:30, 1.88it/s][A
43%|βββββββββββββββββββββββββββ | 43/100 [00:22<00:30, 1.89it/s][A
44%|βββββββββββββββββββββββββββ | 44/100 [00:23<00:29, 1.90it/s][A
45%|ββββββββββββββββββββββββββββ | 45/100 [00:23<00:29, 1.86it/s][A
46%|ββββββββββββββββββββββββββββ | 46/100 [00:24<00:28, 1.88it/s][A
47%|βββββββββββββββββββββββββββββ | 47/100 [00:24<00:28, 1.89it/s][A
48%|ββββββββββββββββββββββββββββββ | 48/100 [00:25<00:27, 1.90it/s][A
49%|ββββββββββββββββββββββββββββββ | 49/100 [00:25<00:27, 1.86it/s][A
50%|βββββββββββββββββββββββββββββββ | 50/100 [00:26<00:26, 1.88it/s][A
51%|βββββββββββββββββββββββββββββββ | 51/100 [00:26<00:25, 1.89it/s][A
52%|ββββββββββββββββββββββββββββββββ | 52/100 [00:27<00:25, 1.90it/s][A
53%|βββββββββββββββββββββββββββββββββ | 53/100 [00:27<00:25, 1.86it/s][A
54%|βββββββββββββββββββββββββββββββββ | 54/100 [00:28<00:24, 1.88it/s][A
55%|ββββββββββββββββββββββββββββββββββ | 55/100 [00:29<00:23, 1.89it/s][A
56%|βββββββββββββββββββββββββββββββββββ | 56/100 [00:29<00:23, 1.90it/s][A
57%|βββββββββββββββββββββββββββββββββββ | 57/100 [00:30<00:23, 1.86it/s][A
58%|ββββββββββββββββββββββββββββββββββββ | 58/100 [00:30<00:22, 1.88it/s][A
59%|ββββββββββββββββββββββββββββββββββββ | 59/100 [00:31<00:21, 1.89it/s][A
60%|βββββββββββββββββββββββββββββββββββββ | 60/100 [00:31<00:21, 1.89it/s][A
61%|ββββββββββββββββββββββββββββββββββββββ | 61/100 [00:32<00:21, 1.86it/s][A
62%|ββββββββββββββββββββββββββββββββββββββ | 62/100 [00:32<00:20, 1.88it/s][A
63%|βββββββββββββββββββββββββββββββββββββββ | 63/100 [00:33<00:19, 1.89it/s][A
64%|βββββββββββββββββββββββββββββββββββββββ | 64/100 [00:33<00:19, 1.89it/s][A
65%|ββββββββββββββββββββββββββββββββββββββββ | 65/100 [00:34<00:18, 1.86it/s][A
66%|βββββββββββββββββββββββββββββββββββββββββ | 66/100 [00:34<00:18, 1.88it/s][A
67%|βββββββββββββββββββββββββββββββββββββββββ | 67/100 [00:35<00:17, 1.89it/s][A
68%|ββββββββββββββββββββββββββββββββββββββββββ | 68/100 [00:35<00:16, 1.90it/s][A
69%|ββββββββββββββββββββββββββββββββββββββββββ | 69/100 [00:36<00:16, 1.86it/s][A
70%|βββββββββββββββββββββββββββββββββββββββββββ | 70/100 [00:36<00:15, 1.88it/s][A
71%|ββββββββββββββββββββββββββββββββββββββββββββ | 71/100 [00:37<00:15, 1.89it/s][A
72%|ββββββββββββββββββββββββββββββββββββββββββββ | 72/100 [00:38<00:14, 1.90it/s][A
73%|βββββββββββββββββββββββββββββββββββββββββββββ | 73/100 [00:38<00:14, 1.86it/s][A
74%|ββββββββββββββββββββββββββββββββββββββββββββββ | 74/100 [00:39<00:13, 1.88it/s][A
75%|ββββββββββββββββββββββββββββββββββββββββββββββ | 75/100 [00:39<00:13, 1.89it/s][A
76%|βββββββββββββββββββββββββββββββββββββββββββββββ | 76/100 [00:40<00:12, 1.89it/s][A
77%|βββββββββββββββββββββββββββββββββββββββββββββββ | 77/100 [00:40<00:12, 1.86it/s][A
78%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 78/100 [00:41<00:11, 1.88it/s][A
79%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 79/100 [00:41<00:11, 1.89it/s][A
80%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 80/100 [00:42<00:10, 1.89it/s][A
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 81/100 [00:42<00:10, 1.86it/s][A
82%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 82/100 [00:43<00:09, 1.88it/s][A
83%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/100 [00:43<00:09, 1.89it/s][A
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/100 [00:44<00:08, 1.90it/s][A
85%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 85/100 [00:44<00:08, 1.86it/s][A
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/100 [00:45<00:07, 1.88it/s][A
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 87/100 [00:46<00:06, 1.89it/s][A
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 88/100 [00:46<00:06, 1.90it/s][A
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/100 [00:47<00:05, 1.85it/s][A
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/100 [00:47<00:05, 1.88it/s][A
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 91/100 [00:48<00:04, 1.89it/s][A
92%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/100 [00:48<00:04, 1.90it/s][A
93%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 93/100 [00:49<00:03, 1.86it/s][A
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 94/100 [00:49<00:03, 1.88it/s][A
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/100 [00:50<00:02, 1.89it/s][A
96%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/100 [00:50<00:02, 1.89it/s][A
97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/100 [00:51<00:01, 1.86it/s][A
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/100 [00:51<00:01, 1.88it/s][A
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 99/100 [00:52<00:00, 1.89it/s][A
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A{'eval_loss': 1.7479416131973267, 'eval_runtime': 54.1236, 'eval_samples_per_second': 3.695, 'eval_steps_per_second': 1.848, 'eval_ppl': 5.74277, 'memory/max_active (GiB)': 14.84, 'memory/max_allocated (GiB)': 14.84, 'memory/device_reserved (GiB)': 31.79, 'epoch': 50.0, 'tokens/train_per_sec_per_gpu': 0.0}
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 650/650 [1:41:52<00:00, 7.68s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 100/100 [00:53<00:00, 1.82it/s][A
[A[2026-01-24 15:07:25,861] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out/checkpoint-650
{'train_runtime': 6116.7339, 'train_samples_per_second': 0.85, 'train_steps_per_second': 0.106, 'train_loss': 3.3152668556800253, 'memory/max_active (GiB)': 7.18, 'memory/max_allocated (GiB)': 7.18, 'memory/device_reserved (GiB)': 7.19, 'epoch': 50.0, 'tokens/train_per_sec_per_gpu': 0.0}
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 650/650 [1:41:53<00:00, 7.68s/it]
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 650/650 [1:41:53<00:00, 9.41s/it]
[2026-01-24 15:07:34,109] [INFO] [axolotl.train.save_trained_model:233] [PID:9359] Training completed! Saving trained model to ./phi4_african_history_lora_out.
[2026-01-24 15:07:34,468] [INFO] [axolotl.train.save_trained_model:351] [PID:9359] Model successfully saved to ./phi4_african_history_lora_out
[2026-01-24 15:07:34,702] [INFO] [axolotl.core.trainers.base._save:721] [PID:9359] Saving model checkpoint to ./phi4_african_history_lora_out
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