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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-4 |
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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-4 |
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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: 3.9698 |
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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: 4 |
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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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| 4.7774 | 0.03 | 76320 | 4.7429 | |
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| 4.4932 | 1.03 | 152640 | 4.4638 | |
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| 4.3479 | 0.03 | 228960 | 4.3308 | |
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| 4.2625 | 1.03 | 305280 | 4.2490 | |
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| 4.1981 | 0.03 | 381600 | 4.1928 | |
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| 4.1521 | 1.03 | 457920 | 4.1530 | |
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| 4.1154 | 0.03 | 534240 | 4.1230 | |
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| 4.0805 | 1.03 | 610560 | 4.0988 | |
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| 4.0514 | 0.03 | 686880 | 4.0793 | |
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| 4.0259 | 1.03 | 763200 | 4.0640 | |
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| 4.0056 | 0.03 | 839520 | 4.0506 | |
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| 3.9903 | 1.03 | 915840 | 4.0404 | |
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| 3.9761 | 0.03 | 992160 | 4.0308 | |
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| 3.9565 | 1.03 | 1068480 | 4.0234 | |
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| 3.9472 | 0.03 | 1144800 | 4.0168 | |
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| 3.9352 | 1.03 | 1221120 | 4.0114 | |
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| 3.9245 | 0.03 | 1297440 | 4.0061 | |
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| 3.9137 | 1.03 | 1373760 | 4.0013 | |
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| 3.9036 | 0.03 | 1450080 | 3.9982 | |
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| 3.8998 | 0.03 | 1526400 | 3.9949 | |
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| 3.8957 | 1.03 | 1602720 | 3.9922 | |
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| 3.891 | 0.03 | 1679040 | 3.9897 | |
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| 3.8872 | 1.03 | 1755360 | 3.9876 | |
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| 3.8784 | 0.03 | 1831680 | 3.9853 | |
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| 3.8704 | 1.03 | 1908000 | 3.9831 | |
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| 3.8615 | 0.03 | 1984320 | 3.9815 | |
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| 3.8584 | 0.03 | 2060640 | 3.9799 | |
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| 3.8554 | 1.03 | 2136960 | 3.9784 | |
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| 3.8507 | 0.03 | 2213280 | 3.9773 | |
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| 3.8436 | 0.03 | 2289600 | 3.9763 | |
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| 3.8417 | 1.03 | 2365920 | 3.9754 | |
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| 3.8366 | 0.03 | 2442240 | 3.9742 | |
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| 3.8328 | 1.03 | 2518560 | 3.9736 | |
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| 3.8293 | 0.03 | 2594880 | 3.9726 | |
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| 3.8258 | 0.03 | 2671200 | 3.9719 | |
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| 3.8263 | 0.03 | 2747520 | 3.9714 | |
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| 3.8265 | 1.03 | 2823840 | 3.9709 | |
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| 3.8291 | 0.03 | 2900160 | 3.9704 | |
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| 3.8271 | 1.03 | 2976480 | 3.9701 | |
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| 3.8234 | 0.02 | 3052726 | 3.9698 | |
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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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