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test-distilbert-base-multilingual-cased
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1533
- Precision: 0.8783
- Recall: 0.9010
- F1: 0.8895
- Accuracy: 0.9721
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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2124 | 1.0 | 477 | 0.1286 | 0.8065 | 0.8469 | 0.8262 | 0.9586 |
| 0.103 | 2.0 | 954 | 0.1113 | 0.8374 | 0.8772 | 0.8568 | 0.9663 |
| 0.0673 | 3.0 | 1431 | 0.1124 | 0.8480 | 0.8810 | 0.8641 | 0.9668 |
| 0.0474 | 4.0 | 1908 | 0.1165 | 0.8658 | 0.8922 | 0.8788 | 0.9710 |
| 0.0338 | 5.0 | 2385 | 0.1254 | 0.8664 | 0.8909 | 0.8785 | 0.9692 |
| 0.0236 | 6.0 | 2862 | 0.1349 | 0.8686 | 0.8954 | 0.8818 | 0.9707 |
| 0.018 | 7.0 | 3339 | 0.1428 | 0.8772 | 0.8991 | 0.8880 | 0.9715 |
| 0.0133 | 8.0 | 3816 | 0.1505 | 0.8739 | 0.8961 | 0.8849 | 0.9712 |
| 0.0106 | 9.0 | 4293 | 0.1529 | 0.8812 | 0.9012 | 0.8911 | 0.9720 |
| 0.0082 | 10.0 | 4770 | 0.1533 | 0.8783 | 0.9010 | 0.8895 | 0.9721 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
