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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-case-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-case-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: 3.9721 |
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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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| 4.7898 | 0.03 | 76320 | 4.7569 | |
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| 4.5057 | 1.03 | 152640 | 4.4762 | |
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| 4.3637 | 0.03 | 228960 | 4.3420 | |
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| 4.2767 | 1.03 | 305280 | 4.2589 | |
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| 4.215 | 0.03 | 381600 | 4.2025 | |
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| 4.1682 | 0.03 | 457920 | 4.1610 | |
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| 4.1327 | 1.03 | 534240 | 4.1302 | |
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| 4.0996 | 0.03 | 610560 | 4.1067 | |
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| 4.0729 | 1.03 | 686880 | 4.0872 | |
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| 4.0478 | 0.03 | 763200 | 4.0712 | |
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| 4.0291 | 0.03 | 839520 | 4.0578 | |
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| 4.0116 | 1.03 | 915840 | 4.0474 | |
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| 3.9934 | 0.03 | 992160 | 4.0378 | |
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| 3.976 | 1.03 | 1068480 | 4.0298 | |
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| 3.9673 | 0.03 | 1144800 | 4.0232 | |
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| 3.9437 | 1.03 | 1221120 | 4.0174 | |
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| 3.933 | 0.03 | 1297440 | 4.0125 | |
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| 3.9239 | 1.03 | 1373760 | 4.0074 | |
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| 3.9167 | 0.03 | 1450080 | 4.0034 | |
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| 3.9121 | 1.03 | 1526400 | 3.9994 | |
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| 3.9081 | 0.03 | 1602720 | 3.9955 | |
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| 3.9053 | 1.03 | 1679040 | 3.9927 | |
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| 3.9027 | 0.03 | 1755360 | 3.9907 | |
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| 3.8966 | 1.03 | 1831680 | 3.9888 | |
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| 3.8913 | 0.03 | 1908000 | 3.9873 | |
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| 3.8831 | 0.03 | 1984320 | 3.9854 | |
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| 3.8796 | 1.03 | 2060640 | 3.9839 | |
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| 3.8751 | 0.03 | 2136960 | 3.9823 | |
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| 3.8685 | 1.03 | 2213280 | 3.9810 | |
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| 3.86 | 0.03 | 2289600 | 3.9796 | |
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| 3.8605 | 1.03 | 2365920 | 3.9780 | |
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| 3.8465 | 0.03 | 2442240 | 3.9771 | |
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| 3.8422 | 1.03 | 2518560 | 3.9761 | |
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| 3.8393 | 0.03 | 2594880 | 3.9753 | |
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| 3.8389 | 1.03 | 2671200 | 3.9745 | |
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| 3.841 | 0.03 | 2747520 | 3.9739 | |
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| 3.84 | 1.03 | 2823840 | 3.9733 | |
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| 3.8427 | 0.03 | 2900160 | 3.9728 | |
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| 3.8443 | 1.03 | 2976480 | 3.9724 | |
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| 3.8432 | 0.02 | 3052726 | 3.9721 | |
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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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