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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: existential-there-quantifier-lstm-0 |
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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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# existential-there-quantifier-lstm-0 |
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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: 0 |
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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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| 4.7923 | 0.03 | 76320 | 4.7567 | |
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| 4.5062 | 1.03 | 152640 | 4.4784 | |
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| 4.3611 | 0.03 | 228960 | 4.3434 | |
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| 4.2754 | 1.03 | 305280 | 4.2611 | |
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| 4.2127 | 0.03 | 381600 | 4.2044 | |
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| 4.1658 | 1.03 | 457920 | 4.1634 | |
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| 4.1265 | 0.03 | 534240 | 4.1321 | |
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| 4.093 | 1.03 | 610560 | 4.1083 | |
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| 4.0641 | 0.03 | 686880 | 4.0882 | |
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| 4.0398 | 1.03 | 763200 | 4.0726 | |
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| 4.0182 | 0.03 | 839520 | 4.0593 | |
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| 4.0039 | 1.03 | 915840 | 4.0482 | |
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| 3.9882 | 0.03 | 992160 | 4.0383 | |
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| 3.9712 | 1.03 | 1068480 | 4.0307 | |
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| 3.9598 | 0.03 | 1144800 | 4.0232 | |
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| 3.9485 | 1.03 | 1221120 | 4.0177 | |
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| 3.9388 | 0.03 | 1297440 | 4.0131 | |
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| 3.9269 | 0.03 | 1373760 | 4.0087 | |
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| 3.9167 | 1.03 | 1450080 | 4.0042 | |
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| 3.9134 | 0.03 | 1526400 | 4.0006 | |
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| 3.9061 | 0.03 | 1602720 | 3.9978 | |
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| 3.902 | 1.03 | 1679040 | 3.9954 | |
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| 3.8986 | 0.03 | 1755360 | 3.9927 | |
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| 3.8901 | 1.03 | 1831680 | 3.9912 | |
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| 3.8831 | 0.03 | 1908000 | 3.9885 | |
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| 3.8764 | 0.03 | 1984320 | 3.9866 | |
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| 3.87 | 0.03 | 2060640 | 3.9843 | |
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| 3.8692 | 1.03 | 2136960 | 3.9829 | |
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| 3.8652 | 0.03 | 2213280 | 3.9817 | |
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| 3.856 | 1.03 | 2289600 | 3.9807 | |
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| 3.8549 | 0.03 | 2365920 | 3.9794 | |
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| 3.8515 | 1.03 | 2442240 | 3.9785 | |
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| 3.8472 | 0.03 | 2518560 | 3.9777 | |
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| 3.8438 | 0.03 | 2594880 | 3.9771 | |
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| 3.8379 | 1.03 | 2671200 | 3.9760 | |
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| 3.841 | 0.03 | 2747520 | 3.9755 | |
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| 3.8389 | 0.03 | 2823840 | 3.9748 | |
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| 3.8408 | 1.03 | 2900160 | 3.9742 | |
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| 3.8396 | 0.03 | 2976480 | 3.9736 | |
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| 3.8366 | 1.02 | 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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