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20231008-6-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: 0.5455
- Loss: 1.8971
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 |
|---|---|---|---|---|
| 2.986 | 1.82 | 200 | 0.4025 | 2.5695 |
| 2.5918 | 3.64 | 400 | 0.4226 | 2.7134 |
| 2.3791 | 5.45 | 600 | 0.4910 | 2.2179 |
| 2.2254 | 7.27 | 800 | 0.5318 | 2.1007 |
| 2.1229 | 9.09 | 1000 | 0.5120 | 2.1417 |
| 2.0372 | 10.91 | 1200 | 0.5850 | 1.7700 |
| 1.9785 | 12.73 | 1400 | 0.4904 | 2.1310 |
| 1.9538 | 14.55 | 1600 | 0.5392 | 1.8208 |
| 1.8633 | 16.36 | 1800 | 0.5880 | 1.9510 |
| 1.8488 | 18.18 | 2000 | 0.5667 | 1.9505 |
| 1.8494 | 20.0 | 2200 | 0.5455 | 1.8971 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
