darija_test6
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: 0.0888
- Accuracy: 0.9893
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 234 | 0.1796 | 0.9658 |
| No log | 2.0 | 468 | 0.0438 | 0.9915 |
| 0.13 | 3.0 | 702 | 0.1001 | 0.9829 |
| 0.13 | 4.0 | 936 | 0.1038 | 0.9872 |
| 0.0154 | 5.0 | 1170 | 0.1384 | 0.9829 |
| 0.0154 | 6.0 | 1404 | 0.0888 | 0.9893 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for smerchi/darija_test6
Base model
google-bert/bert-base-multilingual-cased