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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: 0.4183 |
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- Bleu: 0.2374 |
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- Rouge1: 0.6213 |
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- Rouge2: 0.3630 |
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- Rougel: 0.6195 |
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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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| 1.9575 | 1.0 | 838 | 0.1790 | 0.4805 | 0.5301 | 0.2585 | 0.5287 | |
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| 0.422 | 2.0 | 1676 | 0.2112 | 0.4327 | 0.5789 | 0.3115 | 0.5778 | |
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| 0.331 | 3.0 | 2514 | 0.2289 | 0.4185 | 0.6067 | 0.3463 | 0.6056 | |
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| 0.2638 | 4.0 | 3352 | 0.2374 | 0.4183 | 0.6213 | 0.3630 | 0.6195 | |
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| 0.2131 | 5.0 | 4190 | 0.2423 | 0.4248 | 0.6280 | 0.3719 | 0.6265 | |
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| 0.1756 | 6.0 | 5028 | 0.2511 | 0.4323 | 0.6329 | 0.3818 | 0.6312 | |
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| 0.148 | 7.0 | 5866 | 0.2458 | 0.4369 | 0.6347 | 0.3891 | 0.6327 | |
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| 0.1285 | 8.0 | 6704 | 0.2499 | 0.4448 | 0.6380 | 0.3885 | 0.6368 | |
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| 0.1152 | 9.0 | 7542 | 0.2539 | 0.4525 | 0.6407 | 0.3977 | 0.6393 | |
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| 0.105 | 10.0 | 8380 | 0.4590 | 0.2555 | 0.6441 | 0.3998 | 0.6426 | |
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| 0.0982 | 11.0 | 9218 | 0.4646 | 0.2580 | 0.6455 | 0.4019 | 0.6445 | |
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| 0.0936 | 12.0 | 10056 | 0.4702 | 0.2572 | 0.6457 | 0.4046 | 0.6446 | |
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| 0.0899 | 13.0 | 10894 | 0.4737 | 0.2577 | 0.6488 | 0.4053 | 0.6478 | |
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| 0.0871 | 14.0 | 11732 | 0.4779 | 0.2606 | 0.6492 | 0.4062 | 0.6482 | |
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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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