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20231008-8-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: 0.5897
- Loss: 1.6732
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 |
|---|---|---|---|---|
| 3.0429 | 1.82 | 200 | 0.3604 | 2.6666 |
| 2.587 | 3.64 | 400 | 0.4161 | 2.4828 |
| 2.3902 | 5.45 | 600 | 0.4649 | 2.3097 |
| 2.2656 | 7.27 | 800 | 0.4621 | 2.3834 |
| 2.1488 | 9.09 | 1000 | 0.5201 | 1.9849 |
| 2.0856 | 10.91 | 1200 | 0.5513 | 1.9794 |
| 2.0031 | 12.73 | 1400 | 0.5919 | 1.8554 |
| 1.9627 | 14.55 | 1600 | 0.6177 | 1.6912 |
| 1.9088 | 16.36 | 1800 | 0.5766 | 2.0344 |
| 1.8993 | 18.18 | 2000 | 0.5435 | 2.0127 |
| 1.8831 | 20.0 | 2200 | 0.5897 | 1.6732 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
