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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-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-transformer-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: 3.8637 |
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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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| 4.2235 | 0.03 | 76320 | 4.1958 | |
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| 4.0188 | 1.03 | 152640 | 4.0280 | |
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| 3.91 | 0.03 | 228960 | 3.9539 | |
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| 3.842 | 1.03 | 305280 | 3.9126 | |
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| 3.7897 | 0.03 | 381600 | 3.8869 | |
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| 3.7491 | 1.03 | 457920 | 3.8716 | |
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| 3.7159 | 0.03 | 534240 | 3.8599 | |
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| 3.6834 | 1.03 | 610560 | 3.8530 | |
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| 3.6553 | 0.03 | 686880 | 3.8482 | |
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| 3.628 | 1.03 | 763200 | 3.8453 | |
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| 3.605 | 0.03 | 839520 | 3.8447 | |
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| 3.5866 | 1.03 | 915840 | 3.8442 | |
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| 3.57 | 0.03 | 992160 | 3.8431 | |
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| 3.5489 | 1.03 | 1068480 | 3.8447 | |
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| 3.5349 | 0.03 | 1144800 | 3.8466 | |
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| 3.5248 | 1.03 | 1221120 | 3.8464 | |
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| 3.5096 | 0.03 | 1297440 | 3.8480 | |
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| 3.4935 | 1.03 | 1373760 | 3.8504 | |
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| 3.4796 | 0.03 | 1450080 | 3.8505 | |
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| 3.4725 | 1.03 | 1526400 | 3.8529 | |
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| 3.4618 | 0.03 | 1602720 | 3.8541 | |
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| 3.4538 | 1.03 | 1679040 | 3.8553 | |
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| 3.4437 | 0.03 | 1755360 | 3.8561 | |
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| 3.433 | 1.03 | 1831680 | 3.8574 | |
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| 3.4159 | 0.03 | 1908000 | 3.8589 | |
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| 3.4048 | 1.03 | 1984320 | 3.8615 | |
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| 3.3929 | 0.03 | 2060640 | 3.8618 | |
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| 3.3857 | 1.03 | 2136960 | 3.8629 | |
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| 3.3765 | 0.03 | 2213280 | 3.8634 | |
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| 3.3637 | 0.03 | 2289600 | 3.8657 | |
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| 3.3528 | 0.03 | 2365920 | 3.8668 | |
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| 3.3489 | 1.03 | 2442240 | 3.8667 | |
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| 3.338 | 0.03 | 2518560 | 3.8668 | |
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| 3.3283 | 1.03 | 2594880 | 3.8668 | |
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| 3.3179 | 0.03 | 2671200 | 3.8676 | |
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| 3.3121 | 1.03 | 2747520 | 3.8667 | |
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| 3.3055 | 0.03 | 2823840 | 3.8658 | |
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| 3.2992 | 0.03 | 2900160 | 3.8658 | |
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| 3.2958 | 1.03 | 2976480 | 3.8648 | |
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| 3.2866 | 0.02 | 3052726 | 3.8637 | |
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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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