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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: train_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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# train_3 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3609 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5000 |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.1074 | 1.0 | 568 | 0.3485 | |
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| 0.108 | 2.0 | 1136 | 0.3540 | |
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| 0.106 | 3.0 | 1704 | 0.3306 | |
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| 0.1045 | 4.0 | 2272 | 0.3545 | |
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| 0.1052 | 5.0 | 2840 | 0.3218 | |
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| 0.1033 | 6.0 | 3408 | 0.3230 | |
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| 0.1023 | 7.0 | 3976 | 0.3480 | |
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| 0.0995 | 8.0 | 4544 | 0.4591 | |
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| 0.1 | 9.0 | 5112 | 0.3469 | |
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| 0.0978 | 10.0 | 5680 | 0.3328 | |
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| 0.0974 | 11.0 | 6248 | 0.3641 | |
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| 0.0965 | 12.0 | 6816 | 0.3167 | |
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| 0.0951 | 13.0 | 7384 | 0.3220 | |
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| 0.0953 | 14.0 | 7952 | 0.3034 | |
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| 0.0935 | 15.0 | 8520 | 0.3595 | |
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| 0.0934 | 16.0 | 9088 | 0.3090 | |
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| 0.0942 | 17.0 | 9656 | 0.2997 | |
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| 0.0939 | 18.0 | 10224 | 0.3231 | |
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| 0.0918 | 19.0 | 10792 | 0.3788 | |
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| 0.0933 | 20.0 | 11360 | 0.3888 | |
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| 0.0916 | 21.0 | 11928 | 0.5056 | |
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| 0.0907 | 22.0 | 12496 | 0.3029 | |
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| 0.0905 | 23.0 | 13064 | 0.3338 | |
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| 0.0898 | 24.0 | 13632 | 0.3883 | |
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| 0.0892 | 25.0 | 14200 | 0.4280 | |
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| 0.0884 | 26.0 | 14768 | 0.3281 | |
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| 0.0894 | 27.0 | 15336 | 0.3609 | |
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| 0.0879 | 28.0 | 15904 | 0.3560 | |
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| 0.0881 | 29.0 | 16472 | 0.3502 | |
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| 0.0873 | 30.0 | 17040 | 0.3961 | |
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| 0.0866 | 31.0 | 17608 | 0.3481 | |
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| 0.0864 | 32.0 | 18176 | 0.3609 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.8.0.dev20250424 |
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- Datasets 2.20.0 |
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- Tokenizers 0.21.0 |
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