metadata
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_promo_classification_new_train_data_v2
results: []
offres_classification_bert_promo_classification_new_train_data_v2
This model is a fine-tuned version of SI2M-Lab/DarijaBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0711
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 | 211 | 0.1140 |
| No log | 2.0 | 422 | 0.0729 |
| 0.292 | 3.0 | 633 | 0.0584 |
| 0.292 | 4.0 | 844 | 0.0479 |
| 0.0045 | 5.0 | 1055 | 0.0718 |
| 0.0045 | 6.0 | 1266 | 0.0703 |
| 0.0045 | 7.0 | 1477 | 0.0687 |
| 0.0016 | 8.0 | 1688 | 0.0678 |
| 0.0016 | 9.0 | 1899 | 0.0694 |
| 0.0016 | 10.0 | 2110 | 0.0711 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1