--- license: apache-2.0 base_model: riotu-lab/ArabianGPT-03B tags: - generated_from_trainer metrics: - bleu - rouge model-index: - name: res_nw_eg_03 results: [] --- # res_nw_eg_03 This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7603 - Bleu: 0.3632 - Rouge1: 0.6403 - Rouge2: 0.3829 - Rougel: 0.6368 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 20.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:| | 0.874 | 1.0 | 7105 | 0.7882 | 0.3433 | 0.6159 | 0.3508 | 0.6121 | | 0.5689 | 2.0 | 14210 | 0.7603 | 0.3632 | 0.6403 | 0.3829 | 0.6368 | | 0.4369 | 3.0 | 21315 | 0.7771 | 0.3661 | 0.6205 | 0.2873 | 0.6174 | | 0.3314 | 4.0 | 28420 | 0.8176 | 0.3657 | 0.6468 | 0.3919 | 0.6436 | | 0.2518 | 5.0 | 35525 | 0.8584 | 0.3620 | 0.6466 | 0.3916 | 0.6434 | | 0.1991 | 6.0 | 42630 | 0.9106 | 0.3616 | 0.6428 | 0.3880 | 0.6396 | | 0.1678 | 7.0 | 49735 | 0.9511 | 0.3620 | 0.6421 | 0.3875 | 0.6388 | ### Framework versions - Transformers 4.45.0.dev0 - Pytorch 2.3.1+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1