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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-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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# full-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: 3.8633 |
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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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| 4.2293 | 0.03 | 76319 | 4.1958 | |
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| 4.0241 | 0.03 | 152638 | 4.0255 | |
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| 3.9167 | 0.03 | 228957 | 3.9510 | |
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| 3.8423 | 0.03 | 305276 | 3.9094 | |
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| 3.79 | 0.03 | 381595 | 3.8845 | |
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| 3.7451 | 0.03 | 457914 | 3.8687 | |
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| 3.7143 | 0.03 | 534233 | 3.8576 | |
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| 3.6846 | 0.03 | 610552 | 3.8510 | |
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| 3.6544 | 0.03 | 686871 | 3.8464 | |
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| 3.6297 | 1.03 | 763190 | 3.8441 | |
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| 3.6212 | 0.03 | 839510 | 3.8373 | |
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| 3.5951 | 1.03 | 915830 | 3.8372 | |
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| 3.5801 | 0.03 | 992150 | 3.8371 | |
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| 3.5587 | 1.03 | 1068470 | 3.8380 | |
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| 3.541 | 0.03 | 1144790 | 3.8388 | |
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| 3.5279 | 0.03 | 1221110 | 3.8406 | |
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| 3.5065 | 0.03 | 1297430 | 3.8408 | |
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| 3.4926 | 1.03 | 1373750 | 3.8426 | |
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| 3.4816 | 0.03 | 1450070 | 3.8444 | |
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| 3.4687 | 1.03 | 1526390 | 3.8461 | |
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| 3.4613 | 0.03 | 1602710 | 3.8466 | |
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| 3.4541 | 1.03 | 1679030 | 3.8492 | |
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| 3.4461 | 0.03 | 1755350 | 3.8516 | |
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| 3.4383 | 1.03 | 1831670 | 3.8521 | |
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| 3.4247 | 0.03 | 1907990 | 3.8537 | |
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| 3.4145 | 1.03 | 1984310 | 3.8540 | |
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| 3.4033 | 0.03 | 2060630 | 3.8561 | |
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| 3.3879 | 0.03 | 2136950 | 3.8585 | |
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| 3.3817 | 1.03 | 2213270 | 3.8583 | |
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| 3.3676 | 0.03 | 2289590 | 3.8602 | |
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| 3.357 | 1.03 | 2365910 | 3.8611 | |
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| 3.3479 | 0.03 | 2442230 | 3.8625 | |
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| 3.3342 | 0.03 | 2518550 | 3.8638 | |
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| 3.3243 | 0.03 | 2594870 | 3.8639 | |
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| 3.3153 | 0.03 | 2671190 | 3.8642 | |
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| 3.3042 | 1.03 | 2747510 | 3.8649 | |
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| 3.3014 | 0.03 | 2823830 | 3.8649 | |
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| 3.2975 | 0.03 | 2900150 | 3.8650 | |
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| 3.2925 | 0.03 | 2976470 | 3.8643 | |
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| 3.2897 | 0.02 | 3052726 | 3.8633 | |
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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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