End of training: Arabic Sentiment Model

README.md

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+---
+library_name: transformers
+base_model: UBC-NLP/MARBERT
+tags:
+- generated_from_trainer
+model-index:
+- name: arabic-sentiment-analysis-model
+  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. -->
+
+# arabic-sentiment-analysis-model
+
+This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0339
+
+## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.168         | 1.0   | 113  | 0.2174          |
+| 0.1619        | 2.0   | 226  | 0.0477          |
+| 0.014         | 3.0   | 339  | 0.0339          |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.4.2
+- Tokenizers 0.22.1