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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-4 |
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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-4 |
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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: 3.9711 |
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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: 4 |
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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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| 4.7992 | 0.03 | 76320 | 4.7644 | |
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| 4.5125 | 1.03 | 152640 | 4.4847 | |
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| 4.3702 | 0.03 | 228960 | 4.3492 | |
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| 4.2826 | 1.03 | 305280 | 4.2646 | |
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| 4.2213 | 0.03 | 381600 | 4.2080 | |
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| 4.1709 | 1.03 | 457920 | 4.1664 | |
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| 4.1309 | 0.03 | 534240 | 4.1344 | |
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| 4.0996 | 1.03 | 610560 | 4.1099 | |
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| 4.0726 | 0.03 | 686880 | 4.0901 | |
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| 4.0467 | 0.03 | 763200 | 4.0744 | |
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| 4.0258 | 1.03 | 839520 | 4.0606 | |
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| 4.0085 | 0.03 | 915840 | 4.0495 | |
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| 3.9942 | 0.03 | 992160 | 4.0401 | |
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| 3.9738 | 1.03 | 1068480 | 4.0315 | |
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| 3.9598 | 0.03 | 1144800 | 4.0241 | |
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| 3.9496 | 1.03 | 1221120 | 4.0183 | |
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| 3.9373 | 0.03 | 1297440 | 4.0131 | |
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| 3.9283 | 1.03 | 1373760 | 4.0088 | |
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| 3.9186 | 0.03 | 1450080 | 4.0037 | |
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| 3.9159 | 1.03 | 1526400 | 4.0002 | |
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| 3.9113 | 0.03 | 1602720 | 3.9975 | |
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| 3.9049 | 1.03 | 1679040 | 3.9944 | |
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| 3.8979 | 0.03 | 1755360 | 3.9918 | |
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| 3.8934 | 1.03 | 1831680 | 3.9899 | |
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| 3.8865 | 0.03 | 1908000 | 3.9874 | |
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| 3.8783 | 1.03 | 1984320 | 3.9855 | |
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| 3.8751 | 0.03 | 2060640 | 3.9838 | |
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| 3.8705 | 1.03 | 2136960 | 3.9821 | |
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| 3.865 | 0.03 | 2213280 | 3.9805 | |
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| 3.8558 | 1.03 | 2289600 | 3.9784 | |
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| 3.8509 | 0.03 | 2365920 | 3.9774 | |
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| 3.8505 | 1.03 | 2442240 | 3.9761 | |
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| 3.8449 | 0.03 | 2518560 | 3.9752 | |
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| 3.8438 | 1.03 | 2594880 | 3.9743 | |
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| 3.8394 | 0.03 | 2671200 | 3.9737 | |
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| 3.8414 | 1.03 | 2747520 | 3.9730 | |
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| 3.8425 | 0.03 | 2823840 | 3.9724 | |
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| 3.8403 | 1.03 | 2900160 | 3.9719 | |
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| 3.8389 | 0.03 | 2976480 | 3.9715 | |
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| 3.8378 | 1.02 | 3052726 | 3.9711 | |
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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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