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--- |
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license: bsd-3-clause |
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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: hugohrban/progen2-small |
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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: progen2-small-lora-64-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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# progen2-small-lora-64-remote-homology-filtered |
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This model is a fine-tuned version of [hugohrban/progen2-small](https://huggingface.co/hugohrban/progen2-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1353 |
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- Precision: 0.9499 |
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- Recall: 0.9699 |
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- F1-score: 0.9598 |
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- Accuracy: 0.9595 |
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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: 192 |
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- eval_batch_size: 192 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 384 |
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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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| 0.3088 | 0.9985 | 332 | 0.2490 | 0.8692 | 0.9277 | 0.8975 | 0.8943 | |
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| 0.1806 | 2.0 | 665 | 0.1541 | 0.9259 | 0.9507 | 0.9382 | 0.9375 | |
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| 0.1036 | 2.9985 | 997 | 0.1190 | 0.9522 | 0.9541 | 0.9532 | 0.9532 | |
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| 0.0533 | 4.0 | 1330 | 0.1140 | 0.9538 | 0.9628 | 0.9582 | 0.9581 | |
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| 0.0272 | 4.9925 | 1660 | 0.1353 | 0.9499 | 0.9699 | 0.9598 | 0.9595 | |
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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 |
