| ---
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| library_name: peft
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| license: apache-2.0
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| base_model: Qwen/Qwen2.5-7B-Instruct
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| tags:
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| - generated_from_trainer
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| datasets:
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| - ugaoo/transformed_data_medmcqa_prompt_ts
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| language:
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| - zho
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| - eng
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| - fra
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| - spa
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| - por
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| - deu
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| - ita
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| - rus
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| - jpn
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| - kor
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| - vie
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| - tha
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| - ara
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| model-index:
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| - name: out/Qwen_Qwen2.5_7B_Instruct_ugaoo_transformed_data_medmcqa_prompt_ts
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| 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>
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|
|
| axolotl version: `0.8.0.dev0`
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| ```yaml
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| base_model: Qwen/Qwen2.5-7B-Instruct
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| model_type: AutoModelForCausalLM
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| tokenizer_type: AutoTokenizer
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| trust_remote_code: true
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|
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| load_in_8bit: false
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| load_in_4bit: true
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| strict: false
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|
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| datasets:
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| - path: ugaoo/transformed_data_medmcqa_prompt_ts
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| type: alpaca
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| val_set_size: 0
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| output_dir: ./out/Qwen_Qwen2.5_7B_Instruct_ugaoo_transformed_data_medmcqa_prompt_ts
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|
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| sequence_len: 4000
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| sample_packing: true
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| pad_to_sequence_len: true
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|
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| adapter: qlora
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| lora_r: 256
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| lora_alpha: 512
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| lora_dropout: 0.05
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| lora_target_linear: true
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| lora_target_modules:
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| - q_proj
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| - k_proj
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| - v_proj
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| - o_proj
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| - up_proj
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| - down_proj
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| - gate_proj
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|
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| wandb_project: testsearch
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| wandb_entity:
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| wandb_watch:
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| wandb_name: Qwen_Qwen2.5_7B_Instruct_ugaoo_transformed_data_medmcqa_prompt_ts
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| wandb_log_model:
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|
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| gradient_accumulation_steps: 3
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| micro_batch_size: 4
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| num_epochs: 6
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| optimizer: adamw_torch
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| lr_scheduler: cosine
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| learning_rate: 5e-6
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|
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| train_on_inputs: false
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| group_by_length: false
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| bf16: auto
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| fp16: false
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| tf32: false
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|
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| gradient_checkpointing: true
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| early_stopping_patience:
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| resume_from_checkpoint:
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| logging_steps: 1
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| xformers_attention:
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| flash_attention: true
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|
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| warmup_steps: 100
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| evals_per_epoch: 6
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| eval_table_size:
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| saves_per_epoch: 1
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| debug:
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| deepspeed:
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| weight_decay: 0.0
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| fsdp:
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| fsdp_config:
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| save_total_limit: 6
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| ```
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|
|
| </details><br>
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|
|
| # out/Qwen_Qwen2.5_7B_Instruct_ugaoo_transformed_data_medmcqa_prompt_ts
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|
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| This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the ugaoo/transformed_data_medmcqa_prompt_ts dataset.
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|
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| ## Model description
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|
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| More information needed
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|
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| ## Intended uses & limitations
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|
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| More information needed
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|
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| ## Training and evaluation data
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|
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| More information needed
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|
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| ## Training procedure
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|
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| ### Training hyperparameters
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|
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| The following hyperparameters were used during training:
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| - learning_rate: 5e-06
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| - train_batch_size: 4
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| - eval_batch_size: 4
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| - seed: 42
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| - distributed_type: multi-GPU
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| - gradient_accumulation_steps: 3
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| - total_train_batch_size: 12
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| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: cosine
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| - lr_scheduler_warmup_steps: 100
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| - num_epochs: 6.0
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|
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| ### Training results
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|
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|
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| ### Framework versions
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|
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| - PEFT 0.14.0
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| - Transformers 4.49.0
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| - Pytorch 2.5.1+cu124
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| - Datasets 3.2.0
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| - Tokenizers 0.21.0 |
