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Uploaded PeptideGPT non-fouling model

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: nferruz/ProtGPT2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: output_nf_3
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+ results: []
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+ ---
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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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+
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+ # output_nf_3
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+
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+ This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.6642
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+ - Accuracy: 0.3099
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 200.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 12.1762 | 1.0 | 9 | 11.8181 | 0.0029 |
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+ | 11.6538 | 2.0 | 18 | 11.3468 | 0.0010 |
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+ | 11.2876 | 3.0 | 27 | 10.9127 | 0.0010 |
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+ | 10.8664 | 4.0 | 36 | 10.5162 | 0.0010 |
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+ | 10.6184 | 5.0 | 45 | 10.1817 | 0.0020 |
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+ | 10.3132 | 6.0 | 54 | 9.8765 | 0.0010 |
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+ | 9.9087 | 7.0 | 63 | 9.6073 | 0.0010 |
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+ | 9.6953 | 8.0 | 72 | 9.3244 | 0.0 |
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+ | 9.3741 | 9.0 | 81 | 9.0318 | 0.0 |
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+ | 9.2045 | 10.0 | 90 | 8.7461 | 0.0 |
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+ | 8.9079 | 11.0 | 99 | 8.4755 | 0.0020 |
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+ | 8.7047 | 12.0 | 108 | 8.2222 | 0.0117 |
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+ | 8.4622 | 13.0 | 117 | 7.9951 | 0.0313 |
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+ | 8.2649 | 14.0 | 126 | 7.8052 | 0.0655 |
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+ | 8.043 | 15.0 | 135 | 7.6495 | 0.1065 |
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+ | 7.9092 | 16.0 | 144 | 7.5160 | 0.1378 |
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+ | 7.7103 | 17.0 | 153 | 7.3881 | 0.1691 |
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+ | 7.5701 | 18.0 | 162 | 7.2693 | 0.1818 |
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+ | 7.4483 | 19.0 | 171 | 7.1544 | 0.1994 |
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+ | 7.314 | 20.0 | 180 | 7.0469 | 0.2160 |
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+ | 7.2101 | 21.0 | 189 | 6.9440 | 0.2326 |
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+ | 7.1026 | 22.0 | 198 | 6.8542 | 0.2366 |
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+ | 6.9954 | 23.0 | 207 | 6.7684 | 0.2483 |
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+ | 6.9206 | 24.0 | 216 | 6.6851 | 0.2512 |
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+ | 6.8588 | 25.0 | 225 | 6.6217 | 0.2561 |
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+ | 6.7975 | 26.0 | 234 | 6.5621 | 0.2590 |
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+ | 6.7355 | 27.0 | 243 | 6.5111 | 0.2610 |
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+ | 6.6928 | 28.0 | 252 | 6.4630 | 0.2639 |
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+ | 6.6483 | 29.0 | 261 | 6.4137 | 0.2698 |
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+ | 6.6169 | 30.0 | 270 | 6.3675 | 0.2717 |
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+ | 6.5498 | 31.0 | 279 | 6.3292 | 0.2747 |
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+ | 6.5385 | 32.0 | 288 | 6.2967 | 0.2766 |
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+ | 6.5111 | 33.0 | 297 | 6.2592 | 0.2786 |
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+ | 6.4748 | 34.0 | 306 | 6.2316 | 0.2815 |
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+ | 6.4575 | 35.0 | 315 | 6.2096 | 0.2835 |
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+ | 6.4251 | 36.0 | 324 | 6.1847 | 0.2845 |
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+ | 6.4096 | 37.0 | 333 | 6.1613 | 0.2854 |
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+ | 6.3741 | 38.0 | 342 | 6.1402 | 0.2854 |
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+ | 6.3645 | 39.0 | 351 | 6.1285 | 0.2874 |
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+ | 6.2273 | 48.0 | 432 | 6.0037 | 0.2933 |
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+ | 6.2256 | 49.0 | 441 | 5.9962 | 0.2933 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.2.0
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
all_results.json ADDED
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+ {
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+ }
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+ }
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