| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: interpro_bert |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # interpro_bert |
| | |
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7610 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 256 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - total_train_batch_size: 2048 |
| | - total_eval_batch_size: 1024 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 15 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:------:|:---------------:| |
| | | 4.7929 | 1.0 | 14395 | 4.4007 | |
| | | 2.6085 | 2.0 | 28790 | 2.4082 | |
| | | 1.7765 | 3.0 | 43185 | 1.6582 | |
| | | 1.3909 | 4.0 | 57580 | 1.3030 | |
| | | 1.1805 | 5.0 | 71975 | 1.1146 | |
| | | 1.0593 | 6.0 | 86370 | 1.0107 | |
| | | 0.9726 | 7.0 | 100765 | 0.9359 | |
| | | 0.9167 | 8.0 | 115160 | 0.8880 | |
| | | 0.8683 | 9.0 | 129555 | 0.8475 | |
| | | 0.8436 | 10.0 | 143950 | 0.8224 | |
| | | 0.8167 | 11.0 | 158345 | 0.7974 | |
| | | 0.8009 | 12.0 | 172740 | 0.7850 | |
| | | 0.7874 | 13.0 | 187135 | 0.7682 | |
| | | 0.7772 | 14.0 | 201530 | 0.7654 | |
| | | 0.7738 | 15.0 | 215925 | 0.7610 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.2 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
