--- license: apache-2.0 base_model: nferruz/ProtGPT2 tags: - generated_from_trainer metrics: - accuracy model-index: - name: output_dir_clean_df_10-100_noX_100_1_epoch_cluster results: [] widget: - text: <|endoftext|> --- # output_dir_clean_df_10-100_noX_100_50_epoch_cluster This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 5.3807 - Accuracy: 0.2682 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data all AMPs from the compass dataset with the length between 10-100 AA. Only considering the 20 standard AA (NO X). ## Training procedure 50 epochs training rate: 1 e-06 block size: 100 ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-06 - train_batch_size: 24 - eval_batch_size: 24 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 50.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 197 | 6.2811 | 0.2041 | | No log | 2.0 | 394 | 6.1540 | 0.2116 | | 6.3092 | 3.0 | 591 | 6.0786 | 0.2153 | | 6.3092 | 4.0 | 788 | 6.0237 | 0.2177 | | 6.3092 | 5.0 | 985 | 5.9779 | 0.2200 | | 6.0762 | 6.0 | 1182 | 5.9383 | 0.2222 | | 6.0762 | 7.0 | 1379 | 5.9011 | 0.2249 | | 5.9715 | 8.0 | 1576 | 5.8651 | 0.2273 | | 5.9715 | 9.0 | 1773 | 5.8307 | 0.2302 | | 5.9715 | 10.0 | 1970 | 5.8002 | 0.2320 | | 5.8814 | 11.0 | 2167 | 5.7723 | 0.2338 | | 5.8814 | 12.0 | 2364 | 5.7463 | 0.2355 | | 5.8123 | 13.0 | 2561 | 5.7220 | 0.2371 | | 5.8123 | 14.0 | 2758 | 5.6994 | 0.2386 | | 5.8123 | 15.0 | 2955 | 5.6781 | 0.2404 | | 5.7544 | 16.0 | 3152 | 5.6581 | 0.2419 | | 5.7544 | 17.0 | 3349 | 5.6391 | 0.2433 | | 5.7009 | 18.0 | 3546 | 5.6211 | 0.2450 | | 5.7009 | 19.0 | 3743 | 5.6044 | 0.2466 | | 5.7009 | 20.0 | 3940 | 5.5888 | 0.2482 | | 5.6629 | 21.0 | 4137 | 5.5735 | 0.2493 | | 5.6629 | 22.0 | 4334 | 5.5588 | 0.2507 | | 5.6235 | 23.0 | 4531 | 5.5451 | 0.2520 | | 5.6235 | 24.0 | 4728 | 5.5320 | 0.2531 | | 5.6235 | 25.0 | 4925 | 5.5197 | 0.2541 | | 5.5865 | 26.0 | 5122 | 5.5078 | 0.2552 | | 5.5865 | 27.0 | 5319 | 5.4969 | 0.2562 | | 5.5649 | 28.0 | 5516 | 5.4866 | 0.2573 | | 5.5649 | 29.0 | 5713 | 5.4765 | 0.2583 | | 5.5649 | 30.0 | 5910 | 5.4670 | 0.2595 | | 5.5322 | 31.0 | 6107 | 5.4582 | 0.2604 | | 5.5322 | 32.0 | 6304 | 5.4500 | 0.2612 | | 5.5168 | 33.0 | 6501 | 5.4424 | 0.2618 | | 5.5168 | 34.0 | 6698 | 5.4350 | 0.2627 | | 5.5168 | 35.0 | 6895 | 5.4283 | 0.2633 | | 5.4984 | 36.0 | 7092 | 5.4219 | 0.2640 | | 5.4984 | 37.0 | 7289 | 5.4161 | 0.2647 | | 5.4984 | 38.0 | 7486 | 5.4107 | 0.2651 | | 5.48 | 39.0 | 7683 | 5.4058 | 0.2656 | | 5.48 | 40.0 | 7880 | 5.4014 | 0.2660 | | 5.4665 | 41.0 | 8077 | 5.3974 | 0.2665 | | 5.4665 | 42.0 | 8274 | 5.3936 | 0.2668 | | 5.4665 | 43.0 | 8471 | 5.3905 | 0.2671 | | 5.4612 | 44.0 | 8668 | 5.3878 | 0.2674 | | 5.4612 | 45.0 | 8865 | 5.3855 | 0.2677 | | 5.4515 | 46.0 | 9062 | 5.3836 | 0.2679 | | 5.4515 | 47.0 | 9259 | 5.3822 | 0.2680 | | 5.4515 | 48.0 | 9456 | 5.3812 | 0.2681 | | 5.4453 | 49.0 | 9653 | 5.3808 | 0.2682 | | 5.4453 | 50.0 | 9850 | 5.3807 | 0.2682 | ### Framework versions - Transformers 4.38.0.dev0 - Pytorch 2.2.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0