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20231005-4-bert-base-multilingual-cased-new
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5955
- Loss: 1.5685
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: 32
- eval_batch_size: 32
- seed: 42
- 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.869 | 1.82 | 200 | 0.4070 | 2.4909 |
| 2.334 | 3.64 | 400 | 0.5118 | 2.2459 |
| 2.194 | 5.45 | 600 | 0.5283 | 2.1484 |
| 2.0426 | 7.27 | 800 | 0.5064 | 2.1731 |
| 1.9618 | 9.09 | 1000 | 0.5344 | 1.8738 |
| 1.8369 | 10.91 | 1200 | 0.5702 | 1.8349 |
| 1.8272 | 12.73 | 1400 | 0.5374 | 1.8769 |
| 1.7237 | 14.55 | 1600 | 0.6121 | 1.5797 |
| 1.7028 | 16.36 | 1800 | 0.5843 | 1.6272 |
| 1.6908 | 18.18 | 2000 | 0.6414 | 1.5303 |
| 1.6235 | 20.0 | 2200 | 0.5955 | 1.5685 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
