| --- |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: meta-llama/Llama-2-7b-chat-hf |
| model-index: |
| - name: llama-2-7b-chat-hf-phr_mental_therapy-3 |
| 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. --> |
|
|
| # llama-2-7b-chat-hf-phr_mental_therapy_v2 |
| |
| This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7325 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.03 |
| - num_epochs: 1 |
| - max_seq_length:1024 |
| - Early Stopping: |
| - early_stopping_patience: 5 |
| - early_stopping_threshold: 0.001 |
| - parameter: eval_loss |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.7789 | 0.04 | 1000 | 0.8159 | |
| | 0.7738 | 0.09 | 2000 | 0.7736 | |
| | 0.731 | 0.13 | 3000 | 0.7585 | |
| | 0.7048 | 0.18 | 4000 | 0.7496 | |
| | 0.7268 | 0.22 | 5000 | 0.7435 | |
| | 0.7186 | 0.27 | 6000 | 0.7398 | |
| | 0.7021 | 0.31 | 7000 | 0.7370 | |
| | 0.7093 | 0.36 | 8000 | 0.7355 | |
| | 0.7099 | 0.4 | 9000 | 0.7342 | |
| | 0.7278 | 0.45 | 10000 | 0.7334 | |
| | 0.7264 | 0.49 | 11000 | 0.7328 | |
| | 0.6773 | 0.54 | 12000 | 0.7325 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.9.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.0 |
