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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-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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# existential-there-quantifier-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: 3.9729 |
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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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| 4.7913 | 0.03 | 76320 | 4.7542 | |
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| 4.5039 | 1.03 | 152640 | 4.4751 | |
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| 4.357 | 0.03 | 228960 | 4.3406 | |
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| 4.2713 | 1.03 | 305280 | 4.2572 | |
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| 4.2085 | 0.03 | 381600 | 4.2010 | |
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| 4.1613 | 1.03 | 457920 | 4.1603 | |
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| 4.1228 | 0.03 | 534240 | 4.1289 | |
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| 4.089 | 1.03 | 610560 | 4.1055 | |
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| 4.0595 | 0.03 | 686880 | 4.0853 | |
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| 4.0332 | 1.03 | 763200 | 4.0699 | |
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| 4.0146 | 0.03 | 839520 | 4.0573 | |
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| 3.9976 | 1.03 | 915840 | 4.0465 | |
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| 3.9823 | 0.03 | 992160 | 4.0367 | |
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| 3.9632 | 1.03 | 1068480 | 4.0281 | |
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| 3.9531 | 0.03 | 1144800 | 4.0213 | |
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| 3.9436 | 1.03 | 1221120 | 4.0160 | |
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| 3.9327 | 0.03 | 1297440 | 4.0104 | |
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| 3.9211 | 0.03 | 1373760 | 4.0062 | |
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| 3.9104 | 1.03 | 1450080 | 4.0026 | |
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| 3.9064 | 0.03 | 1526400 | 3.9989 | |
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| 3.9013 | 1.03 | 1602720 | 3.9960 | |
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| 3.8972 | 0.03 | 1679040 | 3.9932 | |
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| 3.892 | 1.03 | 1755360 | 3.9908 | |
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| 3.885 | 0.03 | 1831680 | 3.9884 | |
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| 3.876 | 1.03 | 1908000 | 3.9867 | |
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| 3.8692 | 0.03 | 1984320 | 3.9848 | |
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| 3.8647 | 1.03 | 2060640 | 3.9833 | |
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| 3.862 | 0.03 | 2136960 | 3.9816 | |
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| 3.8582 | 1.03 | 2213280 | 3.9808 | |
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| 3.8502 | 0.03 | 2289600 | 3.9794 | |
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| 3.8488 | 1.03 | 2365920 | 3.9786 | |
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| 3.8459 | 0.03 | 2442240 | 3.9775 | |
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| 3.8421 | 1.03 | 2518560 | 3.9767 | |
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| 3.8386 | 0.03 | 2594880 | 3.9759 | |
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| 3.8348 | 0.03 | 2671200 | 3.9752 | |
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| 3.8363 | 1.03 | 2747520 | 3.9745 | |
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| 3.8364 | 0.03 | 2823840 | 3.9742 | |
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| 3.8368 | 1.03 | 2900160 | 3.9737 | |
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| 3.8342 | 0.03 | 2976480 | 3.9733 | |
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| 3.8297 | 1.02 | 3052726 | 3.9729 | |
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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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