| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-Coder-7B-Instruct |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: gen-sql-1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.5.0` |
| ```yaml |
| base_model: Qwen/Qwen2.5-Coder-7B-Instruct |
| model_type: Qwen2ForCausalLM |
| tokenizer_type: Qwen2Tokenizer |
| |
| trust_remote_code: true |
| |
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
| |
| datasets: |
| - path: dwikitheduck/genesist-sql-1 |
| type: completion |
| dataset_prepared_path: |
| val_set_size: 0.05 |
| output_dir: ./outputs/lora-out |
| |
| sequence_len: 4096 |
| sample_packing: false |
| pad_to_sequence_len: |
| |
| adapter: lora |
| lora_model_dir: |
| lora_r: 64 |
| lora_alpha: 128 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| lora_target_modules: |
| - gate_proj |
| - down_proj |
| - up_proj |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| |
| wandb_project: axolotl-soca |
| wandb_entity: soca-ai |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| hub_model_id: dwikitheduck/gen-sql-1 |
| |
| gradient_accumulation_steps: 8 |
| micro_batch_size: 2 |
| num_epochs: 1 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.0002 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| s2_attention: |
| |
| warmup_steps: 10 |
| evals_per_epoch: 2 |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| fsdp_config: |
| |
| save_safetensors: true |
| |
| ``` |
|
|
| </details><br> |
|
|
| # gen-sql-1 |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3577 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 4 |
| - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 2.0392 | 0.0135 | 1 | 2.0814 | |
| | 0.345 | 0.4983 | 37 | 0.3832 | |
| | 0.3039 | 0.9966 | 74 | 0.3577 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.13.2 |
| - Transformers 4.46.1 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.3 |
