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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-2 |
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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-2 |
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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: 3.9684 |
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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: 2 |
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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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| 4.7955 | 0.03 | 76320 | 4.7622 | |
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| 4.5075 | 1.03 | 152640 | 4.4804 | |
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| 4.365 | 0.03 | 228960 | 4.3439 | |
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| 4.279 | 1.03 | 305280 | 4.2600 | |
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| 4.2159 | 0.03 | 381600 | 4.2030 | |
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| 4.1659 | 1.03 | 457920 | 4.1616 | |
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| 4.129 | 0.03 | 534240 | 4.1308 | |
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| 4.097 | 1.03 | 610560 | 4.1059 | |
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| 4.0694 | 0.03 | 686880 | 4.0865 | |
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| 4.043 | 0.03 | 763200 | 4.0705 | |
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| 4.0225 | 1.03 | 839520 | 4.0564 | |
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| 4.0072 | 0.03 | 915840 | 4.0457 | |
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| 3.9891 | 1.03 | 992160 | 4.0368 | |
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| 3.9735 | 0.03 | 1068480 | 4.0282 | |
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| 3.9577 | 1.03 | 1144800 | 4.0212 | |
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| 3.9477 | 0.03 | 1221120 | 4.0153 | |
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| 3.9363 | 1.03 | 1297440 | 4.0094 | |
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| 3.9261 | 0.03 | 1373760 | 4.0047 | |
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| 3.9158 | 1.03 | 1450080 | 4.0007 | |
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| 3.9144 | 0.03 | 1526400 | 3.9970 | |
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| 3.9096 | 1.03 | 1602720 | 3.9949 | |
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| 3.9016 | 0.03 | 1679040 | 3.9916 | |
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| 3.8963 | 1.03 | 1755360 | 3.9893 | |
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| 3.8925 | 0.03 | 1831680 | 3.9868 | |
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| 3.8855 | 1.03 | 1908000 | 3.9845 | |
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| 3.8774 | 0.03 | 1984320 | 3.9826 | |
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| 3.8719 | 1.03 | 2060640 | 3.9810 | |
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| 3.8686 | 0.03 | 2136960 | 3.9795 | |
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| 3.8668 | 1.03 | 2213280 | 3.9783 | |
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| 3.8572 | 0.03 | 2289600 | 3.9767 | |
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| 3.8508 | 1.03 | 2365920 | 3.9751 | |
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| 3.8493 | 0.03 | 2442240 | 3.9735 | |
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| 3.8447 | 1.03 | 2518560 | 3.9727 | |
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| 3.8411 | 0.03 | 2594880 | 3.9715 | |
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| 3.8369 | 1.03 | 2671200 | 3.9710 | |
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| 3.8421 | 0.03 | 2747520 | 3.9704 | |
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| 3.8416 | 1.03 | 2823840 | 3.9697 | |
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| 3.842 | 0.03 | 2900160 | 3.9691 | |
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| 3.8382 | 1.03 | 2976480 | 3.9687 | |
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| 3.8363 | 0.02 | 3052726 | 3.9684 | |
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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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