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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: superlative-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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# superlative-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: 3.9895 |
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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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| 4.7768 | 0.03 | 76320 | 4.7625 | |
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| 4.4994 | 1.03 | 152640 | 4.4851 | |
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| 4.3586 | 0.03 | 228960 | 4.3523 | |
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| 4.2722 | 1.03 | 305280 | 4.2704 | |
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| 4.2128 | 2.03 | 381600 | 4.2144 | |
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| 4.1637 | 0.03 | 457920 | 4.1737 | |
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| 4.1288 | 1.03 | 534240 | 4.1432 | |
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| 4.0985 | 0.03 | 610560 | 4.1191 | |
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| 4.0699 | 1.03 | 686880 | 4.0997 | |
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| 4.0461 | 2.03 | 763200 | 4.0839 | |
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| 4.0238 | 0.03 | 839520 | 4.0716 | |
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| 4.0037 | 1.03 | 915840 | 4.0607 | |
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| 3.9934 | 0.03 | 992160 | 4.0516 | |
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| 3.9755 | 1.03 | 1068480 | 4.0440 | |
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| 3.9605 | 0.03 | 1144800 | 4.0370 | |
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| 3.9465 | 0.03 | 1221120 | 4.0317 | |
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| 3.9323 | 1.03 | 1297440 | 4.0269 | |
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| 3.9218 | 0.03 | 1373760 | 4.0221 | |
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| 3.9132 | 1.03 | 1450080 | 4.0180 | |
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| 3.9112 | 0.03 | 1526400 | 4.0147 | |
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| 3.9084 | 1.03 | 1602720 | 4.0120 | |
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| 3.9015 | 0.03 | 1679040 | 4.0093 | |
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| 3.8991 | 1.03 | 1755360 | 4.0071 | |
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| 3.8977 | 0.03 | 1831680 | 4.0053 | |
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| 3.8892 | 0.03 | 1908000 | 4.0033 | |
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| 3.8818 | 0.03 | 1984320 | 4.0013 | |
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| 3.8748 | 0.03 | 2060640 | 3.9992 | |
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| 3.8679 | 1.03 | 2136960 | 3.9976 | |
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| 3.8693 | 2.03 | 2213280 | 3.9966 | |
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| 3.8634 | 0.03 | 2289600 | 3.9957 | |
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| 3.8557 | 1.03 | 2365920 | 3.9948 | |
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| 3.85 | 0.03 | 2442240 | 3.9942 | |
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| 3.8426 | 1.03 | 2518560 | 3.9934 | |
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| 3.8418 | 0.03 | 2594880 | 3.9927 | |
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| 3.835 | 1.03 | 2671200 | 3.9919 | |
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| 3.8405 | 2.03 | 2747520 | 3.9913 | |
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| 3.8384 | 0.03 | 2823840 | 3.9907 | |
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| 3.8387 | 1.03 | 2900160 | 3.9903 | |
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| 3.8427 | 0.03 | 2976480 | 3.9898 | |
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| 3.8428 | 1.02 | 3052726 | 3.9895 | |
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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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