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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-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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# existential-there-quantifier-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: 3.9908 |
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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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| 4.8327 | 0.03 | 76320 | 4.7897 | |
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| 4.5393 | 1.03 | 152640 | 4.5018 | |
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| 4.394 | 0.03 | 228960 | 4.3650 | |
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| 4.2992 | 1.03 | 305280 | 4.2801 | |
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| 4.2379 | 0.03 | 381600 | 4.2230 | |
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| 4.1886 | 1.03 | 457920 | 4.1810 | |
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| 4.153 | 0.03 | 534240 | 4.1506 | |
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| 4.1246 | 1.03 | 610560 | 4.1257 | |
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| 4.094 | 0.03 | 686880 | 4.1058 | |
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| 4.0747 | 1.03 | 763200 | 4.0905 | |
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| 4.0519 | 0.03 | 839520 | 4.0770 | |
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| 4.0312 | 1.03 | 915840 | 4.0655 | |
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| 4.017 | 0.03 | 992160 | 4.0566 | |
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| 3.9986 | 1.03 | 1068480 | 4.0483 | |
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| 3.981 | 0.03 | 1144800 | 4.0414 | |
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| 3.9739 | 1.03 | 1221120 | 4.0354 | |
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| 3.9606 | 0.03 | 1297440 | 4.0303 | |
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| 3.9499 | 1.03 | 1373760 | 4.0261 | |
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| 3.9415 | 0.03 | 1450080 | 4.0219 | |
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| 3.932 | 1.03 | 1526400 | 4.0187 | |
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| 3.9294 | 0.03 | 1602720 | 4.0159 | |
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| 3.9226 | 1.03 | 1679040 | 4.0131 | |
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| 3.9195 | 0.03 | 1755360 | 4.0094 | |
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| 3.9186 | 1.03 | 1831680 | 4.0071 | |
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| 3.9098 | 0.03 | 1908000 | 4.0055 | |
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| 3.9087 | 1.03 | 1984320 | 4.0036 | |
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| 3.8995 | 0.03 | 2060640 | 4.0021 | |
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| 3.8935 | 1.03 | 2136960 | 4.0009 | |
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| 3.8906 | 0.03 | 2213280 | 3.9996 | |
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| 3.8854 | 1.03 | 2289600 | 3.9981 | |
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| 3.875 | 0.03 | 2365920 | 3.9971 | |
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| 3.8766 | 1.03 | 2442240 | 3.9962 | |
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| 3.8714 | 0.03 | 2518560 | 3.9950 | |
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| 3.864 | 0.03 | 2594880 | 3.9944 | |
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| 3.8625 | 1.03 | 2671200 | 3.9934 | |
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| 3.8576 | 0.03 | 2747520 | 3.9927 | |
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| 3.8596 | 1.03 | 2823840 | 3.9921 | |
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| 3.8591 | 0.03 | 2900160 | 3.9915 | |
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| 3.8616 | 1.03 | 2976480 | 3.9911 | |
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| 3.8633 | 0.02 | 3052726 | 3.9908 | |
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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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