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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-domain-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-domain-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: 3.9703 |
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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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| 4.7897 | 0.03 | 76320 | 4.7528 | |
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| 4.5051 | 1.03 | 152640 | 4.4733 | |
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| 4.3636 | 0.03 | 228960 | 4.3387 | |
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| 4.2773 | 1.03 | 305280 | 4.2552 | |
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| 4.2163 | 0.03 | 381600 | 4.1992 | |
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| 4.1685 | 1.03 | 457920 | 4.1581 | |
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| 4.1298 | 0.03 | 534240 | 4.1273 | |
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| 4.0974 | 1.03 | 610560 | 4.1034 | |
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| 4.0689 | 0.03 | 686880 | 4.0841 | |
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| 4.0475 | 1.03 | 763200 | 4.0684 | |
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| 4.0258 | 0.03 | 839520 | 4.0556 | |
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| 4.009 | 1.03 | 915840 | 4.0444 | |
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| 3.9935 | 0.03 | 992160 | 4.0360 | |
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| 3.9749 | 1.03 | 1068480 | 4.0273 | |
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| 3.961 | 0.03 | 1144800 | 4.0209 | |
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| 3.95 | 1.03 | 1221120 | 4.0154 | |
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| 3.937 | 0.03 | 1297440 | 4.0103 | |
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| 3.9268 | 1.03 | 1373760 | 4.0055 | |
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| 3.9213 | 0.03 | 1450080 | 4.0021 | |
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| 3.9164 | 1.03 | 1526400 | 3.9979 | |
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| 3.913 | 0.03 | 1602720 | 3.9946 | |
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| 3.9087 | 1.03 | 1679040 | 3.9915 | |
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| 3.9019 | 0.03 | 1755360 | 3.9892 | |
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| 3.8956 | 1.03 | 1831680 | 3.9866 | |
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| 3.8888 | 0.03 | 1908000 | 3.9847 | |
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| 3.8821 | 1.03 | 1984320 | 3.9830 | |
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| 3.8759 | 0.03 | 2060640 | 3.9815 | |
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| 3.8717 | 1.03 | 2136960 | 3.9800 | |
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| 3.8674 | 0.03 | 2213280 | 3.9786 | |
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| 3.8604 | 1.03 | 2289600 | 3.9771 | |
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| 3.8551 | 0.03 | 2365920 | 3.9759 | |
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| 3.8533 | 1.03 | 2442240 | 3.9750 | |
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| 3.8471 | 0.03 | 2518560 | 3.9741 | |
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| 3.8429 | 1.03 | 2594880 | 3.9731 | |
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| 3.8412 | 0.03 | 2671200 | 3.9726 | |
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| 3.8453 | 1.03 | 2747520 | 3.9719 | |
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| 3.846 | 0.03 | 2823840 | 3.9713 | |
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| 3.8478 | 1.03 | 2900160 | 3.9708 | |
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| 3.845 | 0.03 | 2976480 | 3.9705 | |
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| 3.8424 | 0.02 | 3052726 | 3.9703 | |
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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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