metadata
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_promo_classification_new_train_data_v1
results: []
offres_classification_bert_promo_classification_new_train_data_v1
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: 0.0060
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 | 191 | 0.0265 |
| No log | 2.0 | 382 | 0.0123 |
| 0.2705 | 3.0 | 573 | 0.0142 |
| 0.2705 | 4.0 | 764 | 0.0100 |
| 0.2705 | 5.0 | 955 | 0.0089 |
| 0.0021 | 6.0 | 1146 | 0.0061 |
| 0.0021 | 7.0 | 1337 | 0.0057 |
| 0.0009 | 8.0 | 1528 | 0.0056 |
| 0.0009 | 9.0 | 1719 | 0.0058 |
| 0.0009 | 10.0 | 1910 | 0.0060 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1