question-detection-multilingual-20260119
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3928
- Accuracy: 0.9292
- F1: 0.9292
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2837 | 1.0 | 388 | 0.3809 | 0.9151 | 0.9151 |
| 0.0847 | 2.0 | 776 | 0.4424 | 0.9112 | 0.9111 |
| 0.0007 | 3.0 | 1164 | 0.3928 | 0.9292 | 0.9292 |
| 0.0002 | 4.0 | 1552 | 0.5673 | 0.9228 | 0.9227 |
| 0.0001 | 5.0 | 1940 | 0.6028 | 0.9215 | 0.9214 |
| 0.0001 | 6.0 | 2328 | 0.6130 | 0.9202 | 0.9201 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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