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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002_Train_On_Input |
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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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adapter: null |
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
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bf16: auto |
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dataset_prepared_path: last_run_prepared |
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datasets: |
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- path: utrgvseniorproject/PsychiatryCaseNotes |
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type: completion |
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debug: null |
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deepspeed: null |
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early_stopping_patience: null |
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eval_sample_packing: false |
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eval_table_size: null |
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evals_per_epoch: 4 |
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flash_attention: true |
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flash_attn_cross_entropy: false |
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flash_attn_fuse_mlp: true |
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flash_attn_fuse_qkv: false |
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flash_attn_rms_norm: true |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 1 |
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gradient_checkpointing: true |
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group_by_length: false |
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learning_rate: 0.0002 |
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load_in_4bit: false |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: null |
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lora_dropout: null |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: null |
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lora_target_linear: null |
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lr_scheduler: cosine |
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micro_batch_size: 1 |
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model_type: LlamaForCausalLM |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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output_dir: ./TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002_Train_On_Input |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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sample_packing: true |
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saves_per_epoch: 1 |
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sequence_len: 2048 |
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special_tokens: null |
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strict: false |
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tf32: false |
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tokenizer_type: LlamaTokenizer |
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train_on_inputs: true |
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val_set_size: 0.05 |
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wandb_entity: utrgvmedai |
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wandb_log_model: null |
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wandb_name: tinyLama_PsyciatryCaseNotes_epochs_1_lr_0002 |
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wandb_project: TinyLlama-Train-On-Input |
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wandb_watch: null |
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warmup_steps: 100 |
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weight_decay: 0.1 |
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xformers_attention: null |
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``` |
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</details><br> |
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# TinyLlama-Real-PsychiatryCaseNotes-epochs-1-lr-0002_Train_On_Input |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3518 |
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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: 0.0002 |
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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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- 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: 100 |
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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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| 5.2368 | 0.01 | 1 | 4.7826 | |
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| 2.2757 | 0.25 | 48 | 2.3982 | |
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| 2.6166 | 0.51 | 96 | 2.5288 | |
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| 2.6537 | 0.76 | 144 | 2.3518 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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