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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-1 |
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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-1 |
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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: 3.9755 |
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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: 1 |
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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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| 4.7924 | 0.03 | 76320 | 4.7602 | |
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| 4.5106 | 1.03 | 152640 | 4.4828 | |
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| 4.3686 | 0.03 | 228960 | 4.3484 | |
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| 4.2818 | 1.03 | 305280 | 4.2658 | |
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| 4.2208 | 0.03 | 381600 | 4.2087 | |
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| 4.1729 | 1.03 | 457920 | 4.1670 | |
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| 4.1377 | 0.03 | 534240 | 4.1359 | |
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| 4.1036 | 1.03 | 610560 | 4.1114 | |
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| 4.0772 | 0.03 | 686880 | 4.0917 | |
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| 4.051 | 1.03 | 763200 | 4.0758 | |
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| 4.0311 | 0.03 | 839520 | 4.0628 | |
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| 4.0151 | 0.03 | 915840 | 4.0517 | |
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| 3.9948 | 1.03 | 992160 | 4.0416 | |
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| 3.9796 | 0.03 | 1068480 | 4.0333 | |
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| 3.9696 | 1.03 | 1144800 | 4.0269 | |
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| 3.945 | 0.03 | 1221120 | 4.0201 | |
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| 3.9365 | 1.03 | 1297440 | 4.0150 | |
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| 3.9275 | 0.03 | 1373760 | 4.0102 | |
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| 3.9194 | 0.03 | 1450080 | 4.0059 | |
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| 3.9172 | 0.03 | 1526400 | 4.0027 | |
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| 3.9165 | 1.03 | 1602720 | 4.0003 | |
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| 3.9104 | 0.03 | 1679040 | 3.9976 | |
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| 3.9082 | 1.03 | 1755360 | 3.9950 | |
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| 3.9015 | 0.03 | 1831680 | 3.9927 | |
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| 3.8959 | 0.03 | 1908000 | 3.9904 | |
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| 3.8881 | 1.03 | 1984320 | 3.9886 | |
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| 3.8811 | 0.03 | 2060640 | 3.9868 | |
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| 3.8784 | 1.03 | 2136960 | 3.9854 | |
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| 3.8738 | 0.03 | 2213280 | 3.9841 | |
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| 3.8653 | 1.03 | 2289600 | 3.9826 | |
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| 3.8638 | 0.03 | 2365920 | 3.9815 | |
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| 3.85 | 1.03 | 2442240 | 3.9802 | |
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| 3.8455 | 0.03 | 2518560 | 3.9792 | |
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| 3.8444 | 1.03 | 2594880 | 3.9784 | |
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| 3.8434 | 0.03 | 2671200 | 3.9779 | |
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| 3.8441 | 0.03 | 2747520 | 3.9773 | |
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| 3.848 | 0.03 | 2823840 | 3.9766 | |
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| 3.8476 | 1.03 | 2900160 | 3.9761 | |
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| 3.8487 | 0.03 | 2976480 | 3.9758 | |
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| 3.8471 | 1.02 | 3052726 | 3.9755 | |
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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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