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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_bert3 |
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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_bert3 |
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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: 0.4142 |
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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: 0.0001 |
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- train_batch_size: 200 |
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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: 1600 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.2045 | 1.0 | 18425 | 1.1198 | |
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| 0.8936 | 2.0 | 36850 | 0.8563 | |
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| 0.7736 | 3.0 | 55275 | 0.7475 | |
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| 0.6946 | 4.0 | 73700 | 0.6877 | |
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| 0.8083 | 5.0 | 92125 | 0.7509 | |
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| 0.677 | 6.0 | 110550 | 0.6578 | |
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| 0.778 | 7.0 | 128975 | 0.7306 | |
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| 0.6017 | 8.0 | 147400 | 0.5994 | |
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| 0.5646 | 9.0 | 165825 | 0.5704 | |
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| 0.5352 | 10.0 | 184250 | 0.5479 | |
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| 0.532 | 11.0 | 202675 | 0.5496 | |
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| 0.495 | 12.0 | 221100 | 0.5198 | |
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| 0.4714 | 13.0 | 239525 | 0.4971 | |
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| 0.4497 | 14.0 | 257950 | 0.4797 | |
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| 0.4312 | 15.0 | 276375 | 0.4670 | |
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| 0.4131 | 16.0 | 294800 | 0.4494 | |
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| 0.4001 | 17.0 | 313225 | 0.4411 | |
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| 0.3828 | 18.0 | 331650 | 0.4316 | |
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| 0.3665 | 19.0 | 350075 | 0.4201 | |
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| 0.3592 | 20.0 | 368500 | 0.4142 | |
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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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