End of training

README.md

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+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# offres_classification_bert_promo_classification_new_train_data_v1
+
+This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/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