End of training
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README.md
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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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<!-- 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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# stepanom_model
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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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runs/Apr12_02-01-41_2f75c2c50dab/events.out.tfevents.1712887308.2f75c2c50dab.278.0
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runs/Apr12_02-01-41_2f75c2c50dab/events.out.tfevents.1712888640.2f75c2c50dab.278.1
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