darija_test7
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0469
- Accuracy: 0.9928
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 280 | 0.1351 | 0.9785 |
| 0.1661 | 2.0 | 560 | 0.1055 | 0.9839 |
| 0.1661 | 3.0 | 840 | 0.1071 | 0.9857 |
| 0.009 | 4.0 | 1120 | 0.0469 | 0.9928 |
| 0.009 | 5.0 | 1400 | 0.0867 | 0.9875 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for smerchi/darija_test7
Base model
google-bert/bert-base-multilingual-cased