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--- |
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library_name: transformers |
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license: mit |
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base_model: ArabicNLP/mT5-base_ar |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: generative_qa_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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# generative_qa_model |
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This model is a fine-tuned version of [ArabicNLP/mT5-base_ar](https://huggingface.co/ArabicNLP/mT5-base_ar) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8481 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 13.9393 | 1.0 | 648 | 6.9092 | |
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| 5.0306 | 2.0 | 1296 | 2.7919 | |
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| 2.7294 | 3.0 | 1944 | 2.0758 | |
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| 2.067 | 4.0 | 2592 | 1.2531 | |
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| 1.5678 | 5.0 | 3240 | 0.9861 | |
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| 1.3934 | 6.0 | 3888 | 0.9093 | |
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| 1.2198 | 7.0 | 4536 | 0.8782 | |
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| 1.1412 | 8.0 | 5184 | 0.8594 | |
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| 1.1309 | 9.0 | 5832 | 0.8506 | |
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| 1.1577 | 10.0 | 6480 | 0.8481 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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