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--- |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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model-index: |
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- name: llama-2-7b-chat-hf-phr_mental_therapy-3 |
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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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# llama-2-7b-chat-hf-phr_mental_therapy_v2 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7325 |
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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-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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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_ratio: 0.03 |
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- num_epochs: 1 |
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- max_seq_length:1024 |
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- Early Stopping: |
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- early_stopping_patience: 5 |
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- early_stopping_threshold: 0.001 |
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- parameter: eval_loss |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.7789 | 0.04 | 1000 | 0.8159 | |
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| 0.7738 | 0.09 | 2000 | 0.7736 | |
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| 0.731 | 0.13 | 3000 | 0.7585 | |
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| 0.7048 | 0.18 | 4000 | 0.7496 | |
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| 0.7268 | 0.22 | 5000 | 0.7435 | |
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| 0.7186 | 0.27 | 6000 | 0.7398 | |
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| 0.7021 | 0.31 | 7000 | 0.7370 | |
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| 0.7093 | 0.36 | 8000 | 0.7355 | |
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| 0.7099 | 0.4 | 9000 | 0.7342 | |
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| 0.7278 | 0.45 | 10000 | 0.7334 | |
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| 0.7264 | 0.49 | 11000 | 0.7328 | |
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| 0.6773 | 0.54 | 12000 | 0.7325 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
