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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-1 |
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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-1 |
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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: 3.9730 |
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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: 1 |
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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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| 4.7982 | 0.03 | 76320 | 4.7650 | |
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| 4.5117 | 1.03 | 152640 | 4.4852 | |
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| 4.3687 | 0.03 | 228960 | 4.3483 | |
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| 4.2838 | 1.03 | 305280 | 4.2645 | |
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| 4.2211 | 0.03 | 381600 | 4.2075 | |
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| 4.1724 | 1.03 | 457920 | 4.1661 | |
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| 4.1329 | 0.03 | 534240 | 4.1344 | |
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| 4.1002 | 1.03 | 610560 | 4.1092 | |
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| 4.0739 | 0.03 | 686880 | 4.0898 | |
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| 4.0484 | 0.03 | 763200 | 4.0746 | |
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| 4.0281 | 1.03 | 839520 | 4.0612 | |
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| 4.0098 | 0.03 | 915840 | 4.0503 | |
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| 3.9947 | 1.03 | 992160 | 4.0405 | |
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| 3.9758 | 0.03 | 1068480 | 4.0329 | |
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| 3.9599 | 1.03 | 1144800 | 4.0261 | |
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| 3.9509 | 0.03 | 1221120 | 4.0192 | |
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| 3.9398 | 1.03 | 1297440 | 4.0141 | |
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| 3.9313 | 0.03 | 1373760 | 4.0098 | |
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| 3.923 | 1.03 | 1450080 | 4.0061 | |
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| 3.9183 | 0.03 | 1526400 | 4.0024 | |
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| 3.9141 | 1.03 | 1602720 | 3.9991 | |
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| 3.9069 | 0.03 | 1679040 | 3.9961 | |
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| 3.901 | 0.03 | 1755360 | 3.9935 | |
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| 3.895 | 1.03 | 1831680 | 3.9914 | |
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| 3.8884 | 0.03 | 1908000 | 3.9896 | |
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| 3.8818 | 1.03 | 1984320 | 3.9873 | |
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| 3.8757 | 0.03 | 2060640 | 3.9858 | |
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| 3.8717 | 1.03 | 2136960 | 3.9841 | |
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| 3.8669 | 0.03 | 2213280 | 3.9826 | |
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| 3.8583 | 1.03 | 2289600 | 3.9809 | |
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| 3.854 | 0.03 | 2365920 | 3.9793 | |
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| 3.854 | 1.03 | 2442240 | 3.9781 | |
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| 3.8487 | 0.03 | 2518560 | 3.9769 | |
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| 3.8465 | 1.03 | 2594880 | 3.9763 | |
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| 3.8418 | 0.03 | 2671200 | 3.9754 | |
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| 3.8461 | 1.03 | 2747520 | 3.9748 | |
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| 3.845 | 0.03 | 2823840 | 3.9742 | |
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| 3.8429 | 1.03 | 2900160 | 3.9737 | |
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| 3.843 | 0.03 | 2976480 | 3.9733 | |
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| 3.8403 | 0.02 | 3052726 | 3.9730 | |
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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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