--- base_model: aubmindlab/bert-base-arabertv02 tags: - generated_from_trainer model-index: - name: arabert_baseline_style_task4_fold1 results: [] --- # arabert_baseline_style_task4_fold1 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.2941 - Qwk: 0.4545 - Mse: 0.2941 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| | No log | 1.0 | 2 | 3.5794 | 0.0 | 3.5794 | | No log | 2.0 | 4 | 2.3016 | 0.0 | 2.3016 | | No log | 3.0 | 6 | 1.5677 | -0.0769 | 1.5677 | | No log | 4.0 | 8 | 0.9593 | 0.0 | 0.9593 | | No log | 5.0 | 10 | 0.4937 | 0.0 | 0.4937 | | No log | 6.0 | 12 | 0.3911 | -0.375 | 0.3911 | | No log | 7.0 | 14 | 0.3754 | 0.0 | 0.3754 | | No log | 8.0 | 16 | 0.3336 | 0.0588 | 0.3336 | | No log | 9.0 | 18 | 0.3020 | 0.4545 | 0.3020 | | No log | 10.0 | 20 | 0.2941 | 0.4545 | 0.2941 | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0 - Datasets 2.21.0 - Tokenizers 0.19.1