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README.md
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model-index:
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- name: arabic-nano-gpt-v1
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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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# arabic-nano-gpt-v1
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the
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- Loss: 3.
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## Model description
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 24
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:------:|:---------------:|
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| 4.1743 | 0.5849 | 5000 | 3.6616 |
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| 3.6165 | 1.1698 | 10000 | 3.4256 |
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| 3.1775 | 22.2260 | 190000 | 3.0295 |
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| 3.1747 | 22.8109 | 195000 | 3.0284 |
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| 3.1724 | 23.3957 | 200000 | 3.0273 |
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| 3.1757 | 23.9806 | 205000 | 3.0267 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model-index:
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- name: arabic-nano-gpt-v1
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results: []
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datasets:
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- wikimedia/wikipedia
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language:
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- ar
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# arabic-nano-gpt-v1
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the held-out test set:
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- Loss: 3.02885
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## Model description
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 24
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<!-- ### Training results -->
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<!-- | Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:------:|:---------------:|
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| 4.1743 | 0.5849 | 5000 | 3.6616 |
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| 3.6165 | 1.1698 | 10000 | 3.4256 |
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| 3.1775 | 22.2260 | 190000 | 3.0295 |
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| 3.1747 | 22.8109 | 195000 | 3.0284 |
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| 3.1724 | 23.3957 | 200000 | 3.0273 |
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| 3.1757 | 23.9806 | 205000 | 3.0267 | -->
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### Training Loss
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ccee86374057a338e03c1e/WIQvnj-VCCBqvsUlJZ1K_.png)
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### Validation Loss
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ccee86374057a338e03c1e/DmTh4sIODlv1wrxXcedxL.png)
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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