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distilroberta-base-finegrain
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3713
- F1: 0.9129
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3944 | 1.0 | 844 | 0.3998 | 0.9163 |
| 0.3886 | 2.0 | 1688 | 0.4020 | 0.9163 |
| 0.3899 | 3.0 | 2532 | 0.3423 | 0.9163 |
| 0.4026 | 4.0 | 3376 | 0.3837 | 0.9163 |
| 0.3911 | 5.0 | 4220 | 0.3492 | 0.9163 |
| 0.3856 | 6.0 | 5064 | 0.3504 | 0.9163 |
| 0.4058 | 7.0 | 5908 | 0.3682 | 0.9163 |
| 0.4057 | 8.0 | 6752 | 0.3767 | 0.9163 |
| 0.3807 | 9.0 | 7596 | 0.3519 | 0.9163 |
| 0.394 | 10.0 | 8440 | 0.3603 | 0.9163 |
| 0.39 | 11.0 | 9284 | 0.3630 | 0.9163 |
| 0.3945 | 12.0 | 10128 | 0.3846 | 0.9163 |
| 0.3948 | 13.0 | 10972 | 0.3711 | 0.9163 |
| 0.3981 | 14.0 | 11816 | 0.3516 | 0.9163 |
| 0.4144 | 15.0 | 12660 | 0.3526 | 0.9163 |
| 0.3999 | 16.0 | 13504 | 0.3560 | 0.9163 |
| 0.376 | 17.0 | 14348 | 0.3671 | 0.9163 |
| 0.412 | 18.0 | 15192 | 0.3630 | 0.9163 |
| 0.389 | 19.0 | 16036 | 0.3669 | 0.9136 |
| 0.374 | 20.0 | 16880 | 0.3713 | 0.9129 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
