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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Llama2-7B-MeditronGuideLines-txt-epochs-1-lr-000002 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: meta-llama/Llama-2-7b-hf |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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is_llama_derived_model: true |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: utrgvseniorproject/MeditronGuidelines |
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type: completion |
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dataset_prepared_path: /home/josegomez15/med-llm/Llama_Preprocess_MeditronGuideLines_txt |
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val_set_size: 0.05 |
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output_dir: ./Llama2-7B-MeditronGuideLines-txt-epochs-1-lr-000002 |
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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: true |
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adapter: |
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lora_model_dir: |
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lora_r: |
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lora_alpha: |
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lora_dropout: |
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lora_target_linear: |
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lora_fan_in_fan_out: |
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wandb_project: Llama2-7B-MeditronGuideLines |
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wandb_entity: utrgvmedai |
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wandb_watch: |
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wandb_name: Llama2-7B-MeditronGuideLines-txt-epochs-1-lr-000002 |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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num_epochs: 1 |
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#saves_per_epoch: 10 |
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save_steps: 800 |
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#save_total_limit: 4 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.000002 |
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train_on_inputs: true |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: false |
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early_stopping_patience: |
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resume_from_checkpoint: true |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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flash_attn_cross_entropy: false |
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flash_attn_rms_norm: true |
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flash_attn_fuse_qkv: false |
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flash_attn_fuse_mlp: true |
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warmup_steps: 2000 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_sample_packing: False |
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debug: |
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deepspeed: /home/josegomez15/axolotl/deepspeed_configs/zero2.json |
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weight_decay: 0.1 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# Llama2-7B-MeditronGuideLines-txt-epochs-1-lr-000002 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3911 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3307 | 0.0 | 1 | 1.5317 | |
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| 1.4702 | 0.25 | 1141 | 1.4162 | |
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| 1.3621 | 0.5 | 2282 | 1.4039 | |
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| 1.4502 | 0.75 | 3423 | 1.3953 | |
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| 1.4184 | 1.0 | 4564 | 1.3911 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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