offres_classification_bert_promo_classification_new_train_data_v3
This model is a fine-tuned version of aubmindlab/bert-large-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0678
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 212 | 1.1428 |
| No log | 2.0 | 424 | 0.1821 |
| 1.0568 | 3.0 | 636 | 0.1044 |
| 1.0568 | 4.0 | 848 | 0.0824 |
| 0.1311 | 5.0 | 1060 | 0.0683 |
| 0.1311 | 6.0 | 1272 | 0.0640 |
| 0.1311 | 7.0 | 1484 | 0.0689 |
| 0.0126 | 8.0 | 1696 | 0.0700 |
| 0.0126 | 9.0 | 1908 | 0.0670 |
| 0.004 | 10.0 | 2120 | 0.0678 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1
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