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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-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-case-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: 3.9748 |
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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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| 4.793 | 0.03 | 76320 | 4.7610 | |
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| 4.5078 | 1.03 | 152640 | 4.4815 | |
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| 4.3662 | 0.03 | 228960 | 4.3454 | |
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| 4.2772 | 1.03 | 305280 | 4.2625 | |
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| 4.2165 | 0.03 | 381600 | 4.2062 | |
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| 4.1704 | 0.03 | 457920 | 4.1645 | |
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| 4.1336 | 1.03 | 534240 | 4.1334 | |
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| 4.0998 | 0.03 | 610560 | 4.1087 | |
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| 4.0754 | 0.03 | 686880 | 4.0897 | |
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| 4.0505 | 1.03 | 763200 | 4.0733 | |
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| 4.0282 | 0.03 | 839520 | 4.0602 | |
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| 4.0115 | 1.03 | 915840 | 4.0487 | |
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| 3.9943 | 0.03 | 992160 | 4.0396 | |
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| 3.9766 | 1.03 | 1068480 | 4.0313 | |
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| 3.9675 | 0.03 | 1144800 | 4.0246 | |
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| 3.9447 | 1.03 | 1221120 | 4.0192 | |
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| 3.9354 | 0.03 | 1297440 | 4.0142 | |
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| 3.9278 | 1.03 | 1373760 | 4.0092 | |
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| 3.918 | 0.03 | 1450080 | 4.0055 | |
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| 3.9146 | 1.03 | 1526400 | 4.0013 | |
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| 3.9107 | 0.03 | 1602720 | 3.9987 | |
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| 3.9089 | 1.03 | 1679040 | 3.9956 | |
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| 3.9035 | 0.03 | 1755360 | 3.9926 | |
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| 3.898 | 1.03 | 1831680 | 3.9903 | |
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| 3.8927 | 0.03 | 1908000 | 3.9885 | |
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| 3.8853 | 1.03 | 1984320 | 3.9868 | |
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| 3.8795 | 0.03 | 2060640 | 3.9850 | |
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| 3.876 | 0.03 | 2136960 | 3.9838 | |
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| 3.871 | 1.03 | 2213280 | 3.9824 | |
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| 3.8615 | 0.03 | 2289600 | 3.9814 | |
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| 3.8613 | 1.03 | 2365920 | 3.9803 | |
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| 3.8485 | 0.03 | 2442240 | 3.9792 | |
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| 3.8443 | 1.03 | 2518560 | 3.9786 | |
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| 3.8438 | 0.03 | 2594880 | 3.9778 | |
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| 3.8407 | 0.03 | 2671200 | 3.9770 | |
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| 3.842 | 1.03 | 2747520 | 3.9764 | |
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| 3.8433 | 0.03 | 2823840 | 3.9758 | |
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| 3.8447 | 0.03 | 2900160 | 3.9755 | |
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| 3.8456 | 0.03 | 2976480 | 3.9751 | |
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| 3.8445 | 0.02 | 3052726 | 3.9748 | |
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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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