metadata
library_name: transformers
base_model: SI2M-Lab/DarijaBERT
tags:
- generated_from_trainer
model-index:
- name: offres_classification_bert_v1
results: []
offres_classification_bert_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: 0.0247
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: 16
- 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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 141 | 0.0312 |
| No log | 2.0 | 282 | 0.0781 |
| No log | 3.0 | 423 | 0.0229 |
| 0.1308 | 4.0 | 564 | 0.0187 |
| 0.1308 | 5.0 | 705 | 0.0208 |
| 0.1308 | 6.0 | 846 | 0.0261 |
| 0.1308 | 7.0 | 987 | 0.0242 |
| 0.0008 | 8.0 | 1128 | 0.0244 |
| 0.0008 | 9.0 | 1269 | 0.0247 |
| 0.0008 | 10.0 | 1410 | 0.0247 |
| 0.0005 | 11.0 | 1551 | 0.0247 |
| 0.0005 | 12.0 | 1692 | 0.0247 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0