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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-transformer-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-transformer-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: 3.8614 |
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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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| 4.2255 | 0.03 | 76320 | 4.1981 | |
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| 4.0196 | 1.03 | 152640 | 4.0287 | |
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| 3.9092 | 0.03 | 228960 | 3.9539 | |
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| 3.8408 | 1.03 | 305280 | 3.9129 | |
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| 3.7902 | 0.03 | 381600 | 3.8885 | |
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| 3.7501 | 1.03 | 457920 | 3.8713 | |
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| 3.7154 | 0.03 | 534240 | 3.8614 | |
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| 3.6838 | 1.03 | 610560 | 3.8546 | |
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| 3.6538 | 0.03 | 686880 | 3.8502 | |
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| 3.627 | 1.03 | 763200 | 3.8468 | |
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| 3.6059 | 0.03 | 839520 | 3.8452 | |
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| 3.5882 | 1.03 | 915840 | 3.8449 | |
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| 3.571 | 0.03 | 992160 | 3.8447 | |
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| 3.5498 | 1.03 | 1068480 | 3.8448 | |
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| 3.5367 | 0.03 | 1144800 | 3.8457 | |
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| 3.524 | 1.03 | 1221120 | 3.8458 | |
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| 3.51 | 0.03 | 1297440 | 3.8483 | |
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| 3.4957 | 1.03 | 1373760 | 3.8493 | |
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| 3.481 | 0.03 | 1450080 | 3.8503 | |
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| 3.4717 | 1.03 | 1526400 | 3.8522 | |
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| 3.462 | 0.03 | 1602720 | 3.8515 | |
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| 3.4542 | 1.03 | 1679040 | 3.8540 | |
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| 3.4453 | 0.03 | 1755360 | 3.8545 | |
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| 3.433 | 1.03 | 1831680 | 3.8568 | |
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| 3.4173 | 0.03 | 1908000 | 3.8572 | |
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| 3.4063 | 0.03 | 1984320 | 3.8582 | |
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| 3.3948 | 1.03 | 2060640 | 3.8601 | |
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| 3.3869 | 0.03 | 2136960 | 3.8600 | |
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| 3.3774 | 1.03 | 2213280 | 3.8616 | |
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| 3.3635 | 0.03 | 2289600 | 3.8610 | |
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| 3.3569 | 1.03 | 2365920 | 3.8627 | |
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| 3.348 | 0.03 | 2442240 | 3.8634 | |
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| 3.3387 | 0.03 | 2518560 | 3.8641 | |
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| 3.3283 | 1.03 | 2594880 | 3.8637 | |
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| 3.3184 | 0.03 | 2671200 | 3.8642 | |
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| 3.313 | 1.03 | 2747520 | 3.8644 | |
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| 3.3042 | 0.03 | 2823840 | 3.8639 | |
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| 3.3007 | 1.03 | 2900160 | 3.8634 | |
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| 3.2948 | 0.03 | 2976480 | 3.8620 | |
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| 3.2876 | 1.02 | 3052726 | 3.8614 | |
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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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