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--- |
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library_name: transformers |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: arabic-nano-gpt-v2 |
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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-v2 |
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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 evaluation set: |
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- Loss: 3.2532 |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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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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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:------:|:---------------:| |
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| 4.9097 | 0.2924 | 5000 | 4.3161 | |
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| 4.0426 | 0.5849 | 10000 | 3.8633 | |
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| 3.8791 | 0.8773 | 15000 | 3.6969 | |
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| 3.7452 | 1.1698 | 20000 | 3.6052 | |
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| 3.6927 | 1.4622 | 25000 | 3.5420 | |
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| 3.6348 | 1.7547 | 30000 | 3.4976 | |
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| 3.6038 | 2.0471 | 35000 | 3.4622 | |
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| 3.562 | 2.3396 | 40000 | 3.4329 | |
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| 3.5374 | 2.6320 | 45000 | 3.4098 | |
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| 3.5216 | 2.9245 | 50000 | 3.3897 | |
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| 3.4918 | 3.2169 | 55000 | 3.3743 | |
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| 3.4805 | 3.5094 | 60000 | 3.3585 | |
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| 3.4724 | 3.8018 | 65000 | 3.3445 | |
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| 3.4519 | 4.0943 | 70000 | 3.3337 | |
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| 3.4422 | 4.3867 | 75000 | 3.3224 | |
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| 3.4376 | 4.6791 | 80000 | 3.3133 | |
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| 3.4316 | 4.9716 | 85000 | 3.3042 | |
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| 3.4123 | 5.2640 | 90000 | 3.2972 | |
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| 3.4076 | 5.5565 | 95000 | 3.2897 | |
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| 3.4018 | 5.8489 | 100000 | 3.2823 | |
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| 3.3943 | 6.1414 | 105000 | 3.2772 | |
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| 3.3891 | 6.4338 | 110000 | 3.2720 | |
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| 3.3805 | 6.7263 | 115000 | 3.2661 | |
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| 3.3786 | 7.0187 | 120000 | 3.2625 | |
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| 3.3713 | 7.3112 | 125000 | 3.2587 | |
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| 3.3662 | 7.6036 | 130000 | 3.2553 | |
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| 3.365 | 7.8961 | 135000 | 3.2532 | |
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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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