| | --- |
| | library_name: peft |
| | base_model: ugaoo/llama_85_8 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - ugaoo/medmcqa_trail_anki_mimic |
| | model-index: |
| | - name: out/llama_85_8_medmcqa_trail_anki_mimic |
| | 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: ugaoo/llama_85_8 |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | trust_remote_code: true |
| | |
| | load_in_8bit: false |
| | load_in_4bit: true |
| | strict: false |
| | |
| | datasets: |
| | - path: ugaoo/medmcqa_trail_anki_mimic |
| | type: alpaca |
| | val_set_size: 0 |
| | output_dir: ./out/llama_85_8_medmcqa_trail_anki_mimic |
| | |
| | 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 |
| | lora_modules_to_save: |
| | - embed_tokens |
| | - lm_head |
| | |
| | wandb_project: peftsearchllama |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: llama_85_8_medmcqa_trail_anki_mimic |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 3 |
| | micro_batch_size: 2 |
| | num_epochs: 3 |
| | 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 |
| | special_tokens: |
| | pad_token: <|end_of_text|> |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # out/llama_85_8_medmcqa_trail_anki_mimic |
| |
|
| | This model is a fine-tuned version of [ugaoo/llama_85_8](https://huggingface.co/ugaoo/llama_85_8) on the ugaoo/medmcqa_trail_anki_mimic 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 3 |
| | - total_train_batch_size: 24 |
| | - total_eval_batch_size: 8 |
| | - 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: 3.0 |
| |
|
| | ### Training results |
| |
|
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.15.0 |
| | - Transformers 4.50.0 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.4.1 |
| | - Tokenizers 0.21.1 |
