--- tags: - generated_from_trainer model-index: - name: interpro_bert results: [] --- # 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