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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: res_nw_yem |
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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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# res_nw_yem |
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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: 0.4720 |
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- Bleu: 0.2297 |
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- Rouge1: 0.5777 |
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- Rouge2: 0.3341 |
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- Rougel: 0.5758 |
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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: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:----:|:------:|:---------------:|:------:|:------:|:------:| |
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| 7.8314 | 1.0 | 153 | 0.0104 | 2.3597 | 0.0983 | 0.0018 | 0.0964 | |
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| 0.9995 | 2.0 | 306 | 0.1161 | 0.5538 | 0.4736 | 0.1854 | 0.4728 | |
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| 0.4848 | 3.0 | 459 | 0.1472 | 0.5034 | 0.5008 | 0.2174 | 0.5002 | |
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| 0.3823 | 4.0 | 612 | 0.1912 | 0.4827 | 0.5331 | 0.2744 | 0.5314 | |
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| 0.293 | 5.0 | 765 | 0.2096 | 0.4732 | 0.5619 | 0.3099 | 0.5587 | |
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| 0.2239 | 6.0 | 918 | 0.2297 | 0.4720 | 0.5777 | 0.3341 | 0.5758 | |
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| 0.1766 | 7.0 | 1071 | 0.2302 | 0.4737 | 0.5885 | 0.3468 | 0.5872 | |
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| 0.1434 | 8.0 | 1224 | 0.2451 | 0.4758 | 0.5938 | 0.3648 | 0.5903 | |
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| 0.1202 | 9.0 | 1377 | 0.2509 | 0.4828 | 0.6047 | 0.3683 | 0.6015 | |
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| 0.1042 | 10.0 | 1530 | 0.2439 | 0.4852 | 0.5980 | 0.3704 | 0.5951 | |
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| 0.0955 | 11.0 | 1683 | 0.2560 | 0.4885 | 0.6116 | 0.3795 | 0.6086 | |
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| 0.0875 | 12.0 | 1836 | 0.4914 | 0.2551 | 0.6098 | 0.3802 | 0.6056 | |
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| 0.0825 | 13.0 | 1989 | 0.4981 | 0.2627 | 0.6145 | 0.3872 | 0.6108 | |
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| 0.0787 | 14.0 | 2142 | 0.5005 | 0.2590 | 0.6138 | 0.3797 | 0.6101 | |
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| 0.0757 | 15.0 | 2295 | 0.5020 | 0.2632 | 0.6171 | 0.3850 | 0.6141 | |
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| 0.074 | 16.0 | 2448 | 0.5049 | 0.2594 | 0.6161 | 0.3829 | 0.6125 | |
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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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