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--- |
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license: apache-2.0 |
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base_model: riotu-lab/ArabianGPT-01B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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- rouge |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6229 |
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- Bleu: 0.1607 |
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- Rouge1: 0.4264 |
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- Rouge2: 0.1631 |
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- Rougel: 0.3675 |
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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: 5e-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: 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_steps: 500 |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:------:| |
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| 3.359 | 1.5674 | 500 | 3.1283 | 0.1142 | 0.3298 | 0.0843 | 0.2561 | |
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| 2.9208 | 3.1348 | 1000 | 2.7298 | 0.1491 | 0.4041 | 0.1430 | 0.3408 | |
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| 2.619 | 4.7022 | 1500 | 2.6229 | 0.1607 | 0.4264 | 0.1631 | 0.3675 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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