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