bert-large-cased-finetuned-lowR10-0-cased-DA-20
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8706
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: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.534 | 1.0 | 1 | 3.3267 |
| 3.4023 | 2.0 | 2 | 1.9169 |
| 3.9478 | 3.0 | 3 | 4.7299 |
| 2.7598 | 4.0 | 4 | 1.9790 |
| 3.5718 | 5.0 | 5 | 2.9120 |
| 2.554 | 6.0 | 6 | 4.7168 |
| 2.3288 | 7.0 | 7 | 3.0791 |
| 4.2772 | 8.0 | 8 | 5.0675 |
| 3.0613 | 9.0 | 9 | 2.8924 |
| 2.6295 | 10.0 | 10 | 4.0580 |
| 1.1492 | 11.0 | 11 | 1.9058 |
| 2.4894 | 12.0 | 12 | 3.3881 |
| 1.0674 | 13.0 | 13 | 4.1820 |
| 1.0408 | 14.0 | 14 | 1.3132 |
| 2.4876 | 15.0 | 15 | 1.8314 |
| 1.8407 | 16.0 | 16 | 2.4077 |
| 2.3834 | 17.0 | 17 | 2.9627 |
| 3.0375 | 18.0 | 18 | 2.5811 |
| 1.8393 | 19.0 | 19 | 2.4138 |
| 1.8369 | 20.0 | 20 | 2.2895 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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