| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: existential-there-quantifier-transformer-2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # existential-there-quantifier-transformer-2 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.8631 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 2 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 3052726 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2284 | 0.03 | 76320 | 4.1985 | |
| | 4.0216 | 1.03 | 152640 | 4.0292 | |
| | 3.9117 | 0.03 | 228960 | 3.9547 | |
| | 3.846 | 1.03 | 305280 | 3.9137 | |
| | 3.7932 | 0.03 | 381600 | 3.8879 | |
| | 3.7526 | 1.03 | 457920 | 3.8726 | |
| | 3.7186 | 0.03 | 534240 | 3.8616 | |
| | 3.6853 | 1.03 | 610560 | 3.8549 | |
| | 3.6566 | 0.03 | 686880 | 3.8491 | |
| | 3.6299 | 1.03 | 763200 | 3.8466 | |
| | 3.6088 | 0.03 | 839520 | 3.8450 | |
| | 3.5909 | 1.03 | 915840 | 3.8433 | |
| | 3.5721 | 0.03 | 992160 | 3.8440 | |
| | 3.5517 | 1.03 | 1068480 | 3.8438 | |
| | 3.5396 | 0.03 | 1144800 | 3.8448 | |
| | 3.5253 | 1.03 | 1221120 | 3.8455 | |
| | 3.5095 | 0.03 | 1297440 | 3.8461 | |
| | 3.4965 | 0.03 | 1373760 | 3.8489 | |
| | 3.4797 | 1.03 | 1450080 | 3.8500 | |
| | 3.4741 | 0.03 | 1526400 | 3.8496 | |
| | 3.463 | 1.03 | 1602720 | 3.8523 | |
| | 3.456 | 0.03 | 1679040 | 3.8542 | |
| | 3.4458 | 1.03 | 1755360 | 3.8550 | |
| | 3.433 | 0.03 | 1831680 | 3.8559 | |
| | 3.4181 | 0.03 | 1908000 | 3.8570 | |
| | 3.4069 | 1.03 | 1984320 | 3.8597 | |
| | 3.3962 | 0.03 | 2060640 | 3.8610 | |
| | 3.3886 | 1.03 | 2136960 | 3.8617 | |
| | 3.3791 | 0.03 | 2213280 | 3.8636 | |
| | 3.3653 | 1.03 | 2289600 | 3.8646 | |
| | 3.3589 | 0.03 | 2365920 | 3.8649 | |
| | 3.3494 | 1.03 | 2442240 | 3.8656 | |
| | 3.3363 | 0.03 | 2518560 | 3.8670 | |
| | 3.3258 | 1.03 | 2594880 | 3.8668 | |
| | 3.3168 | 0.03 | 2671200 | 3.8669 | |
| | 3.3126 | 1.03 | 2747520 | 3.8667 | |
| | 3.3062 | 0.03 | 2823840 | 3.8659 | |
| | 3.3037 | 1.03 | 2900160 | 3.8657 | |
| | 3.2966 | 0.03 | 2976480 | 3.8640 | |
| | 3.2869 | 1.02 | 3052726 | 3.8631 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
