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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: binding-reconstruction-lstm-0 |
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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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# binding-reconstruction-lstm-0 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9713 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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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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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.7917 | 0.03 | 76320 | 4.7594 | |
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| 4.5052 | 1.03 | 152640 | 4.4768 | |
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| 4.3619 | 0.03 | 228960 | 4.3418 | |
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| 4.2784 | 1.03 | 305280 | 4.2583 | |
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| 4.2153 | 0.03 | 381600 | 4.2016 | |
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| 4.1661 | 1.03 | 457920 | 4.1610 | |
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| 4.1274 | 0.03 | 534240 | 4.1302 | |
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| 4.0963 | 1.03 | 610560 | 4.1061 | |
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| 4.0684 | 0.03 | 686880 | 4.0865 | |
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| 4.0431 | 0.03 | 763200 | 4.0708 | |
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| 4.0215 | 1.03 | 839520 | 4.0574 | |
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| 4.0052 | 0.03 | 915840 | 4.0466 | |
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| 3.9894 | 1.03 | 992160 | 4.0375 | |
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| 3.9699 | 0.03 | 1068480 | 4.0294 | |
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| 3.9579 | 1.03 | 1144800 | 4.0223 | |
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| 3.9457 | 0.03 | 1221120 | 4.0157 | |
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| 3.9351 | 1.03 | 1297440 | 4.0102 | |
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| 3.9247 | 0.03 | 1373760 | 4.0058 | |
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| 3.915 | 1.03 | 1450080 | 4.0019 | |
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| 3.9127 | 0.03 | 1526400 | 3.9982 | |
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| 3.9078 | 1.03 | 1602720 | 3.9946 | |
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| 3.9007 | 0.03 | 1679040 | 3.9920 | |
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| 3.8952 | 1.03 | 1755360 | 3.9902 | |
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| 3.8918 | 0.03 | 1831680 | 3.9876 | |
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| 3.8848 | 1.03 | 1908000 | 3.9858 | |
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| 3.8768 | 0.03 | 1984320 | 3.9841 | |
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| 3.8712 | 1.03 | 2060640 | 3.9824 | |
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| 3.8673 | 0.03 | 2136960 | 3.9810 | |
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| 3.8644 | 1.03 | 2213280 | 3.9792 | |
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| 3.8548 | 0.03 | 2289600 | 3.9779 | |
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| 3.851 | 1.03 | 2365920 | 3.9768 | |
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| 3.8478 | 0.03 | 2442240 | 3.9759 | |
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| 3.8441 | 1.03 | 2518560 | 3.9752 | |
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| 3.8411 | 0.03 | 2594880 | 3.9744 | |
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| 3.8374 | 1.03 | 2671200 | 3.9737 | |
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| 3.8405 | 0.03 | 2747520 | 3.9732 | |
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| 3.8411 | 1.03 | 2823840 | 3.9727 | |
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| 3.8386 | 0.03 | 2900160 | 3.9721 | |
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| 3.8389 | 1.03 | 2976480 | 3.9716 | |
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| 3.8384 | 0.02 | 3052726 | 3.9713 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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