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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: GreatCaptainNemo/ProLLaMA |
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metrics: |
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- precision |
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- recall |
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- accuracy |
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model-index: |
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- name: prollama-7b-lora-8-remote-homology-filtered |
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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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# prollama-7b-lora-8-remote-homology-filtered |
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This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA](https://huggingface.co/GreatCaptainNemo/ProLLaMA) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4261 |
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- Precision: 0.7980 |
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- Recall: 0.8159 |
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- F1-score: 0.8068 |
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- Accuracy: 0.8042 |
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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: 24 |
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- eval_batch_size: 24 |
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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: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1-score | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:| |
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| 0.4947 | 1.0 | 5313 | 0.4742 | 0.7628 | 0.8081 | 0.7848 | 0.7779 | |
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| 0.4607 | 2.0 | 10626 | 0.4563 | 0.8163 | 0.7291 | 0.7702 | 0.7820 | |
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| 0.4377 | 3.0 | 15939 | 0.4466 | 0.8094 | 0.7627 | 0.7854 | 0.7910 | |
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| 0.4164 | 4.0 | 21252 | 0.4280 | 0.7953 | 0.8151 | 0.8051 | 0.8021 | |
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| 0.403 | 5.0 | 26565 | 0.4261 | 0.7980 | 0.8159 | 0.8068 | 0.8042 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
