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: 0.0010
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 | 135 | 0.0265 |
| No log | 2.0 | 270 | 0.0045 |
| No log | 3.0 | 405 | 0.0063 |
| 0.1371 | 4.0 | 540 | 0.0023 |
| 0.1371 | 5.0 | 675 | 0.0030 |
| 0.1371 | 6.0 | 810 | 0.0020 |
| 0.1371 | 7.0 | 945 | 0.0013 |
| 0.0009 | 8.0 | 1080 | 0.0011 |
| 0.0009 | 9.0 | 1215 | 0.0010 |
| 0.0009 | 10.0 | 1350 | 0.0010 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 2.21.0
- Tokenizers 0.21.0