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distilbert-base-multilingual-cased-Confusion-mlm-202306
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: 0.8282
- Loss: 0.6654
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: 8
- eval_batch_size: 8
- 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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 130 | 0.7892 | 0.7445 |
| No log | 2.0 | 260 | 0.8013 | 0.6769 |
| No log | 3.0 | 390 | 0.7977 | 0.6356 |
| 0.9594 | 4.0 | 520 | 0.7895 | 0.7486 |
| 0.9594 | 5.0 | 650 | 0.7938 | 0.7193 |
| 0.9594 | 6.0 | 780 | 0.8304 | 0.6777 |
| 0.9594 | 7.0 | 910 | 0.8234 | 0.6646 |
| 0.843 | 8.0 | 1040 | 0.8227 | 0.6509 |
| 0.843 | 9.0 | 1170 | 0.7609 | 0.8298 |
| 0.843 | 10.0 | 1300 | 0.8282 | 0.6654 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
