distilbert-base-multilingual-cased-v3
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:
- Loss: 0.0799
- Accuracy: 0.7610
- F1: 0.6806
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: 7e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.5768 | 1.0 | 58 | 0.3674 | 0.6489 | 0.5492 |
0.1531 | 2.0 | 116 | 0.0976 | 0.6982 | 0.6041 |
0.0511 | 3.0 | 174 | 0.0493 | 0.7048 | 0.6114 |
0.0331 | 4.0 | 232 | 0.0301 | 0.7081 | 0.6153 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.19.1
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