--- license: apache-2.0 base_model: riotu-lab/ArabianGPT-01B tags: - generated_from_trainer model-index: - name: model_outputs results: [] --- # model_outputs This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0808 ## 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: 0.0003 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.8475 | 0.25 | 10 | 3.8987 | | 4.0025 | 0.49 | 20 | 3.6754 | | 3.6385 | 0.74 | 30 | 3.2931 | | 3.2785 | 0.99 | 40 | 2.9471 | | 2.1751 | 1.23 | 50 | 3.0013 | | 1.8868 | 1.48 | 60 | 3.0324 | | 1.9831 | 1.73 | 70 | 2.8470 | | 1.8749 | 1.98 | 80 | 2.8488 | | 1.0702 | 2.22 | 90 | 2.9369 | | 0.8701 | 2.47 | 100 | 3.0490 | | 0.8731 | 2.72 | 110 | 3.0774 | | 0.8309 | 2.96 | 120 | 3.0808 | ### Framework versions - Transformers 4.39.3 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.15.2