v1_Model
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4 items • Updated
Arabizi_Checkpoints-large-last
This model is a fine-tuned version of Mohamedd123321/XLMR_Large_Arabizi_MLM on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5694
- Accuracy: 0.8971
- F1: 0.8974
- Precision: 0.8977
- Recall: 0.8971
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: 64
- eval_batch_size: 32
- 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2583 | 1.9841 | 10000 | 0.2886 | 0.8936 | 0.8938 | 0.8943 | 0.8936 |
| 0.135 | 3.9683 | 20000 | 0.3694 | 0.8972 | 0.8970 | 0.8969 | 0.8972 |
| 0.0696 | 5.9524 | 30000 | 0.5694 | 0.8971 | 0.8974 | 0.8977 | 0.8971 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.8.0+cu129
- Datasets 5.0.1
- Tokenizers 0.19.1
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