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20231008-1-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: 0.5583
- Loss: 1.8644
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 |
|---|---|---|---|---|
| 3.0435 | 1.82 | 200 | 0.4356 | 2.5262 |
| 2.5692 | 3.64 | 400 | 0.4205 | 2.6711 |
| 2.3352 | 5.45 | 600 | 0.4841 | 2.1151 |
| 2.2573 | 7.27 | 800 | 0.5188 | 2.1011 |
| 2.1775 | 9.09 | 1000 | 0.4776 | 2.1433 |
| 2.0626 | 10.91 | 1200 | 0.5370 | 2.0399 |
| 2.0071 | 12.73 | 1400 | 0.5732 | 1.8666 |
| 1.9289 | 14.55 | 1600 | 0.6042 | 1.6883 |
| 1.9511 | 16.36 | 1800 | 0.6228 | 1.7540 |
| 1.8715 | 18.18 | 2000 | 0.6299 | 1.6179 |
| 1.839 | 20.0 | 2200 | 0.5583 | 1.8644 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
