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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-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-domain-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: 3.9692 |
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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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| 4.7888 | 0.03 | 76320 | 4.7521 | |
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| 4.5036 | 1.03 | 152640 | 4.4715 | |
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| 4.3636 | 0.03 | 228960 | 4.3376 | |
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| 4.2765 | 1.03 | 305280 | 4.2541 | |
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| 4.2146 | 0.03 | 381600 | 4.1970 | |
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| 4.1686 | 1.03 | 457920 | 4.1559 | |
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| 4.128 | 0.03 | 534240 | 4.1253 | |
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| 4.0952 | 1.03 | 610560 | 4.1007 | |
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| 4.0646 | 0.03 | 686880 | 4.0812 | |
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| 4.0432 | 1.03 | 763200 | 4.0656 | |
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| 4.0226 | 0.03 | 839520 | 4.0523 | |
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| 4.0053 | 1.03 | 915840 | 4.0409 | |
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| 3.9914 | 0.03 | 992160 | 4.0319 | |
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| 3.9701 | 1.03 | 1068480 | 4.0238 | |
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| 3.9597 | 0.03 | 1144800 | 4.0178 | |
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| 3.946 | 1.03 | 1221120 | 4.0117 | |
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| 3.9309 | 0.03 | 1297440 | 4.0068 | |
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| 3.9227 | 1.03 | 1373760 | 4.0021 | |
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| 3.9156 | 0.03 | 1450080 | 3.9986 | |
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| 3.9115 | 1.03 | 1526400 | 3.9952 | |
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| 3.9063 | 0.03 | 1602720 | 3.9911 | |
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| 3.9026 | 1.03 | 1679040 | 3.9885 | |
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| 3.8976 | 0.03 | 1755360 | 3.9854 | |
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| 3.8937 | 1.03 | 1831680 | 3.9838 | |
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| 3.8836 | 0.03 | 1908000 | 3.9822 | |
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| 3.8799 | 1.03 | 1984320 | 3.9808 | |
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| 3.8757 | 0.03 | 2060640 | 3.9792 | |
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| 3.8714 | 0.03 | 2136960 | 3.9780 | |
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| 3.8657 | 1.03 | 2213280 | 3.9768 | |
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| 3.859 | 0.03 | 2289600 | 3.9754 | |
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| 3.8548 | 1.03 | 2365920 | 3.9748 | |
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| 3.8514 | 0.03 | 2442240 | 3.9739 | |
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| 3.8438 | 1.03 | 2518560 | 3.9730 | |
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| 3.8412 | 0.03 | 2594880 | 3.9722 | |
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| 3.8378 | 1.03 | 2671200 | 3.9716 | |
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| 3.8414 | 0.03 | 2747520 | 3.9709 | |
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| 3.8408 | 1.03 | 2823840 | 3.9703 | |
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| 3.8419 | 0.03 | 2900160 | 3.9699 | |
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| 3.8435 | 1.03 | 2976480 | 3.9695 | |
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| 3.8403 | 0.02 | 3052726 | 3.9692 | |
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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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