Ronysalem
/

arabert-dialect

@@ -1,201 +1,68 @@
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-library_name: transformers
-tags: []
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 ---
+base_model: asafaya/bert-base-arabic
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: results
+  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. -->
+# results
+This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5491
+- Accuracy: 0.8431
+- F1: 0.8420
+- Precision: 0.8419
+- Recall: 0.8431
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.581         | 1.0   | 1847 | 0.4896          | 0.8299   | 0.8267 | 0.8316    | 0.8299 |
+| 0.3579        | 2.0   | 3694 | 0.4723          | 0.8403   | 0.8376 | 0.8429    | 0.8403 |
+| 0.1966        | 3.0   | 5541 | 0.5491          | 0.8431   | 0.8420 | 0.8419    | 0.8431 |
+### Framework versions
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2