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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: interpro_bert |
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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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# interpro_bert |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7610 |
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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: 256 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 2048 |
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- total_eval_batch_size: 1024 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 4.7929 | 1.0 | 14395 | 4.4007 | |
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| 2.6085 | 2.0 | 28790 | 2.4082 | |
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| 1.7765 | 3.0 | 43185 | 1.6582 | |
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| 1.3909 | 4.0 | 57580 | 1.3030 | |
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| 1.1805 | 5.0 | 71975 | 1.1146 | |
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| 1.0593 | 6.0 | 86370 | 1.0107 | |
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| 0.9726 | 7.0 | 100765 | 0.9359 | |
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| 0.9167 | 8.0 | 115160 | 0.8880 | |
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| 0.8683 | 9.0 | 129555 | 0.8475 | |
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| 0.8436 | 10.0 | 143950 | 0.8224 | |
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| 0.8167 | 11.0 | 158345 | 0.7974 | |
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| 0.8009 | 12.0 | 172740 | 0.7850 | |
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| 0.7874 | 13.0 | 187135 | 0.7682 | |
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| 0.7772 | 14.0 | 201530 | 0.7654 | |
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| 0.7738 | 15.0 | 215925 | 0.7610 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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