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bert-large-cased-finetuned-lowR100-0-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: 1.1273
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 |
|---|---|---|---|
| No log | 1.0 | 1 | 1.8723 |
| 0.732 | 2.0 | 2 | 3.5381 |
| 0.732 | 3.0 | 3 | 2.1417 |
| 0.7987 | 4.0 | 4 | 2.2899 |
| 0.7987 | 5.0 | 5 | 1.7517 |
| 0.9115 | 6.0 | 6 | 2.3830 |
| 0.9115 | 7.0 | 7 | 3.4545 |
| 0.9239 | 8.0 | 8 | 2.7875 |
| 0.9239 | 9.0 | 9 | 2.1550 |
| 1.1331 | 10.0 | 10 | 1.9010 |
| 1.1331 | 11.0 | 11 | 2.6686 |
| 1.1203 | 12.0 | 12 | 1.8346 |
| 1.1203 | 13.0 | 13 | 2.3677 |
| 0.9392 | 14.0 | 14 | 1.3718 |
| 0.9392 | 15.0 | 15 | 2.2553 |
| 0.8844 | 16.0 | 16 | 3.4245 |
| 0.8844 | 17.0 | 17 | 2.5895 |
| 0.8565 | 18.0 | 18 | 2.7765 |
| 0.8565 | 19.0 | 19 | 1.7891 |
| 0.9602 | 20.0 | 20 | 2.0496 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
