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20231008-7-distilbert-base-multilingual-cased-new
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5624
- Loss: 2.0343
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 |
|---|---|---|---|---|
| 3.0373 | 1.82 | 200 | 0.425 | 2.7059 |
| 2.5655 | 3.64 | 400 | 0.4379 | 2.4156 |
| 2.364 | 5.45 | 600 | 0.5187 | 2.3751 |
| 2.2438 | 7.27 | 800 | 0.5045 | 2.3905 |
| 2.1557 | 9.09 | 1000 | 0.5546 | 2.0966 |
| 2.0335 | 10.91 | 1200 | 0.5535 | 2.0374 |
| 2.0174 | 12.73 | 1400 | 0.5431 | 2.0796 |
| 1.9409 | 14.55 | 1600 | 0.5352 | 2.0956 |
| 1.9439 | 16.36 | 1800 | 0.5240 | 2.1130 |
| 1.8895 | 18.18 | 2000 | 0.5662 | 2.0468 |
| 1.875 | 20.0 | 2200 | 0.5624 | 2.0343 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
