| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| tags: |
| - generated_from_trainer |
| datasets: |
| - ugaoo/detailed_response_dataset_doctor_patient |
| model-index: |
| - name: out/Qwen_Qwen2.5_7B_Instruct_ugaoo_detailed_response_dataset_doctor_patient |
| 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: `0.8.0.dev0` |
| ```yaml |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| trust_remote_code: true |
| |
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
| |
| datasets: |
| - path: ugaoo/detailed_response_dataset_doctor_patient |
| type: alpaca |
| val_set_size: 0 |
| output_dir: ./out/Qwen_Qwen2.5_7B_Instruct_ugaoo_detailed_response_dataset_doctor_patient |
| |
| sequence_len: 4000 |
| sample_packing: true |
| pad_to_sequence_len: true |
| |
| adapter: qlora |
| lora_r: 256 |
| lora_alpha: 512 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_target_modules: |
| - q_proj |
| - k_proj |
| - v_proj |
| - o_proj |
| - up_proj |
| - down_proj |
| - gate_proj |
| |
| wandb_project: cosmosearch |
| wandb_entity: |
| wandb_watch: |
| wandb_name: Qwen_Qwen2.5_7B_Instruct_ugaoo_detailed_response_dataset_doctor_patient |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 3 |
| micro_batch_size: 4 |
| num_epochs: 6 |
| optimizer: adamw_torch |
| lr_scheduler: cosine |
| learning_rate: 5e-6 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: false |
| tf32: false |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_steps: 100 |
| evals_per_epoch: 6 |
| eval_table_size: |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| fsdp_config: |
| save_total_limit: 6 |
| ``` |
|
|
| </details><br> |
|
|
| # out/Qwen_Qwen2.5_7B_Instruct_ugaoo_detailed_response_dataset_doctor_patient |
| |
| This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the ugaoo/detailed_response_dataset_doctor_patient dataset. |
| |
| ## 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: 5e-06 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - gradient_accumulation_steps: 3 |
| - total_train_batch_size: 12 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100 |
| - num_epochs: 6.0 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.14.0 |
| - Transformers 4.49.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
