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End of training

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README.md ADDED
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+ ---
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+ base_model: aubmindlab/bert-base-arabertv02
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: stepanom_model
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # stepanom_model
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2797
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+ - Accuracy: 0.9348
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.937e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.3672 | 1.0 | 539 | 0.7685 | 0.8328 |
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+ | 0.5966 | 2.0 | 1078 | 0.4007 | 0.8982 |
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+ | 0.3074 | 3.0 | 1617 | 0.3301 | 0.9149 |
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+ | 0.1851 | 4.0 | 2156 | 0.3010 | 0.9249 |
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+ | 0.1099 | 5.0 | 2695 | 0.2945 | 0.9274 |
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+ | 0.0758 | 6.0 | 3234 | 0.2832 | 0.9321 |
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+ | 0.044 | 7.0 | 3773 | 0.2797 | 0.9348 |
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+ | 0.0285 | 8.0 | 4312 | 0.2868 | 0.9337 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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