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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_gulf |
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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_gulf |
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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: 0.4179 |
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- Bleu: 0.4093 |
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- Rouge1: 0.6309 |
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- Rouge2: 0.3587 |
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- Rougel: 0.6298 |
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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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| 1.8893 | 1.0 | 836 | 0.4815 | 0.3818 | 0.5345 | 0.2557 | 0.5335 | |
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| 0.4211 | 2.0 | 1672 | 0.4301 | 0.3947 | 0.5886 | 0.3084 | 0.5877 | |
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| 0.3307 | 3.0 | 2508 | 0.4181 | 0.4098 | 0.6130 | 0.3382 | 0.6119 | |
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| 0.2641 | 4.0 | 3344 | 0.4179 | 0.4093 | 0.6309 | 0.3587 | 0.6298 | |
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| 0.2135 | 5.0 | 4180 | 0.4242 | 0.4125 | 0.6373 | 0.3691 | 0.6359 | |
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| 0.1765 | 6.0 | 5016 | 0.4300 | 0.4156 | 0.6466 | 0.3830 | 0.6453 | |
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| 0.1492 | 7.0 | 5852 | 0.4348 | 0.4188 | 0.6460 | 0.3852 | 0.6449 | |
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| 0.1293 | 8.0 | 6688 | 0.4431 | 0.4190 | 0.6493 | 0.3895 | 0.6482 | |
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| 0.1155 | 9.0 | 7524 | 0.4497 | 0.4202 | 0.6498 | 0.3905 | 0.6488 | |
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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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