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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: full-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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# full-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: 3.8587 |
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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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| 4.2233 | 0.03 | 76319 | 4.1904 | |
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| 4.0164 | 0.03 | 152638 | 4.0214 | |
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| 3.9108 | 0.03 | 228957 | 3.9470 | |
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| 3.8387 | 0.03 | 305276 | 3.9060 | |
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| 3.7867 | 0.03 | 381595 | 3.8814 | |
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| 3.7413 | 0.03 | 457914 | 3.8656 | |
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| 3.7107 | 0.03 | 534233 | 3.8556 | |
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| 3.6837 | 0.03 | 610552 | 3.8487 | |
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| 3.6531 | 0.03 | 686871 | 3.8448 | |
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| 3.6291 | 0.03 | 763190 | 3.8420 | |
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| 3.6101 | 1.03 | 839509 | 3.8409 | |
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| 3.5963 | 0.03 | 915829 | 3.8363 | |
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| 3.5791 | 1.03 | 992149 | 3.8367 | |
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| 3.5582 | 0.03 | 1068469 | 3.8382 | |
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| 3.5416 | 1.03 | 1144789 | 3.8380 | |
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| 3.5288 | 0.03 | 1221109 | 3.8402 | |
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| 3.5067 | 1.03 | 1297429 | 3.8410 | |
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| 3.4946 | 0.03 | 1373749 | 3.8431 | |
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| 3.4805 | 0.03 | 1450069 | 3.8431 | |
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| 3.4665 | 1.03 | 1526389 | 3.8470 | |
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| 3.4615 | 0.03 | 1602709 | 3.8478 | |
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| 3.4538 | 1.03 | 1679029 | 3.8471 | |
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| 3.448 | 0.03 | 1755349 | 3.8479 | |
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| 3.4378 | 1.03 | 1831669 | 3.8503 | |
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| 3.4252 | 0.03 | 1907989 | 3.8518 | |
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| 3.4161 | 1.03 | 1984309 | 3.8544 | |
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| 3.4041 | 0.03 | 2060629 | 3.8546 | |
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| 3.3914 | 0.03 | 2136949 | 3.8557 | |
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| 3.3834 | 1.03 | 2213269 | 3.8566 | |
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| 3.3716 | 0.03 | 2289589 | 3.8571 | |
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| 3.3606 | 0.03 | 2365909 | 3.8585 | |
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| 3.3526 | 0.03 | 2442229 | 3.8595 | |
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| 3.3358 | 0.03 | 2518549 | 3.8594 | |
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| 3.327 | 0.03 | 2594869 | 3.8601 | |
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| 3.3165 | 0.03 | 2671189 | 3.8611 | |
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| 3.3069 | 0.03 | 2747509 | 3.8615 | |
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| 3.3062 | 1.03 | 2823829 | 3.8609 | |
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| 3.2995 | 0.03 | 2900149 | 3.8612 | |
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| 3.2968 | 1.03 | 2976469 | 3.8606 | |
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| 3.2924 | 0.02 | 3052726 | 3.8587 | |
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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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