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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-3 |
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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-3 |
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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: 3.9699 |
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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: 3 |
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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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| 4.7862 | 0.03 | 76320 | 4.7490 | |
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| 4.5033 | 1.03 | 152640 | 4.4718 | |
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| 4.3621 | 0.03 | 228960 | 4.3375 | |
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| 4.2771 | 1.03 | 305280 | 4.2549 | |
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| 4.2156 | 0.03 | 381600 | 4.1983 | |
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| 4.1699 | 1.03 | 457920 | 4.1582 | |
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| 4.1302 | 0.03 | 534240 | 4.1273 | |
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| 4.0971 | 1.03 | 610560 | 4.1029 | |
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| 4.0699 | 0.03 | 686880 | 4.0839 | |
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| 4.0479 | 1.03 | 763200 | 4.0686 | |
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| 4.0271 | 0.03 | 839520 | 4.0558 | |
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| 4.011 | 0.03 | 915840 | 4.0446 | |
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| 3.9945 | 1.03 | 992160 | 4.0362 | |
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| 3.9758 | 0.03 | 1068480 | 4.0277 | |
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| 3.965 | 1.03 | 1144800 | 4.0209 | |
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| 3.9495 | 0.03 | 1221120 | 4.0152 | |
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| 3.9368 | 1.03 | 1297440 | 4.0103 | |
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| 3.9259 | 0.03 | 1373760 | 4.0055 | |
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| 3.9195 | 1.03 | 1450080 | 4.0012 | |
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| 3.9172 | 0.03 | 1526400 | 3.9978 | |
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| 3.9128 | 1.03 | 1602720 | 3.9946 | |
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| 3.9092 | 0.03 | 1679040 | 3.9919 | |
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| 3.9022 | 1.03 | 1755360 | 3.9895 | |
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| 3.8968 | 0.03 | 1831680 | 3.9873 | |
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| 3.8901 | 1.03 | 1908000 | 3.9852 | |
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| 3.8836 | 0.03 | 1984320 | 3.9835 | |
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| 3.8778 | 1.03 | 2060640 | 3.9819 | |
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| 3.876 | 0.03 | 2136960 | 3.9803 | |
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| 3.8693 | 1.03 | 2213280 | 3.9786 | |
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| 3.8607 | 0.03 | 2289600 | 3.9772 | |
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| 3.8579 | 1.03 | 2365920 | 3.9760 | |
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| 3.8521 | 0.03 | 2442240 | 3.9750 | |
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| 3.8445 | 1.03 | 2518560 | 3.9739 | |
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| 3.8406 | 0.03 | 2594880 | 3.9733 | |
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| 3.8394 | 1.03 | 2671200 | 3.9727 | |
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| 3.8421 | 0.03 | 2747520 | 3.9718 | |
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| 3.8447 | 1.03 | 2823840 | 3.9712 | |
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| 3.8463 | 0.03 | 2900160 | 3.9707 | |
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| 3.8447 | 1.03 | 2976480 | 3.9702 | |
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| 3.8428 | 0.02 | 3052726 | 3.9699 | |
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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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