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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-2 |
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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-2 |
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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: 3.9732 |
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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: 2 |
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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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| 4.7896 | 0.03 | 76320 | 4.7570 | |
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| 4.5056 | 1.03 | 152640 | 4.4776 | |
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| 4.3639 | 0.03 | 228960 | 4.3428 | |
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| 4.2748 | 1.03 | 305280 | 4.2598 | |
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| 4.2152 | 0.03 | 381600 | 4.2038 | |
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| 4.1683 | 0.03 | 457920 | 4.1630 | |
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| 4.1315 | 1.03 | 534240 | 4.1321 | |
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| 4.0972 | 0.03 | 610560 | 4.1075 | |
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| 4.071 | 0.03 | 686880 | 4.0878 | |
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| 4.0465 | 1.03 | 763200 | 4.0719 | |
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| 4.0256 | 0.03 | 839520 | 4.0583 | |
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| 4.0112 | 1.03 | 915840 | 4.0480 | |
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| 3.9916 | 0.03 | 992160 | 4.0378 | |
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| 3.9742 | 1.03 | 1068480 | 4.0300 | |
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| 3.9673 | 0.03 | 1144800 | 4.0234 | |
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| 3.9429 | 1.03 | 1221120 | 4.0180 | |
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| 3.9312 | 0.03 | 1297440 | 4.0124 | |
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| 3.9237 | 1.03 | 1373760 | 4.0079 | |
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| 3.9162 | 0.03 | 1450080 | 4.0047 | |
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| 3.9118 | 1.03 | 1526400 | 4.0011 | |
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| 3.9087 | 0.03 | 1602720 | 3.9978 | |
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| 3.9046 | 1.03 | 1679040 | 3.9952 | |
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| 3.8998 | 0.03 | 1755360 | 3.9928 | |
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| 3.8938 | 1.03 | 1831680 | 3.9903 | |
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| 3.8883 | 0.03 | 1908000 | 3.9883 | |
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| 3.8836 | 1.03 | 1984320 | 3.9859 | |
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| 3.8759 | 0.03 | 2060640 | 3.9840 | |
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| 3.8724 | 1.03 | 2136960 | 3.9824 | |
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| 3.8654 | 0.03 | 2213280 | 3.9808 | |
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| 3.8605 | 1.03 | 2289600 | 3.9793 | |
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| 3.8586 | 0.03 | 2365920 | 3.9784 | |
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| 3.8453 | 1.03 | 2442240 | 3.9775 | |
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| 3.8408 | 0.03 | 2518560 | 3.9766 | |
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| 3.8392 | 1.03 | 2594880 | 3.9762 | |
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| 3.8369 | 0.03 | 2671200 | 3.9754 | |
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| 3.8385 | 1.03 | 2747520 | 3.9749 | |
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| 3.8411 | 0.03 | 2823840 | 3.9744 | |
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| 3.84 | 0.03 | 2900160 | 3.9740 | |
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| 3.8412 | 1.03 | 2976480 | 3.9735 | |
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| 3.842 | 0.02 | 3052726 | 3.9732 | |
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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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