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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_dj |
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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_dj |
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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: 0.6607 |
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- Bleu: 0.3968 |
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- Rouge1: 0.6232 |
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- Rouge2: 0.3746 |
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- Rougel: 0.6212 |
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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 | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:| |
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| 1.2336 | 1.0 | 2679 | 0.7062 | 0.3526 | 0.5198 | 0.2547 | 0.5170 | |
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| 0.634 | 2.0 | 5358 | 0.6423 | 0.3756 | 0.5739 | 0.3114 | 0.5714 | |
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| 0.5299 | 3.0 | 8037 | 0.6246 | 0.3877 | 0.5958 | 0.3370 | 0.5935 | |
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| 0.4492 | 4.0 | 10716 | 0.6246 | 0.3905 | 0.6081 | 0.3526 | 0.6057 | |
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| 0.3829 | 5.0 | 13395 | 0.6300 | 0.3963 | 0.6145 | 0.3621 | 0.6125 | |
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| 0.328 | 6.0 | 16074 | 0.6384 | 0.3961 | 0.6213 | 0.3700 | 0.6194 | |
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| 0.2832 | 7.0 | 18753 | 0.6491 | 0.3999 | 0.6232 | 0.3741 | 0.6209 | |
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| 0.2453 | 8.0 | 21432 | 0.6607 | 0.3968 | 0.6232 | 0.3746 | 0.6212 | |
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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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