--- base_model: aubmindlab/bert-base-arabertv02 tags: - generated_from_trainer model-index: - name: arabert_baseline_development_task1_fold1 results: [] --- # arabert_baseline_development_task1_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: 0.5458 - Qwk: 0.4658 - Mse: 0.5512 ## 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 | 0.3333 | 2 | 5.2478 | -0.0019 | 5.2043 | | No log | 0.6667 | 4 | 2.1589 | 0.0283 | 2.1601 | | No log | 1.0 | 6 | 1.4355 | 0.0541 | 1.4399 | | No log | 1.3333 | 8 | 0.6301 | 0.2222 | 0.6340 | | No log | 1.6667 | 10 | 0.6183 | 0.1498 | 0.6241 | | No log | 2.0 | 12 | 1.0561 | 0.0474 | 1.0672 | | No log | 2.3333 | 14 | 1.4163 | 0.0173 | 1.4254 | | No log | 2.6667 | 16 | 0.7226 | 0.1868 | 0.7270 | | No log | 3.0 | 18 | 0.4156 | 0.3931 | 0.4169 | | No log | 3.3333 | 20 | 0.3843 | 0.3824 | 0.3843 | | No log | 3.6667 | 22 | 0.4180 | 0.3265 | 0.4208 | | No log | 4.0 | 24 | 0.6135 | 0.2391 | 0.6210 | | No log | 4.3333 | 26 | 0.6975 | 0.3265 | 0.7080 | | No log | 4.6667 | 28 | 0.4353 | 0.3666 | 0.4431 | | No log | 5.0 | 30 | 0.3291 | 0.5318 | 0.3307 | | No log | 5.3333 | 32 | 0.3685 | 0.6995 | 0.3686 | | No log | 5.6667 | 34 | 0.4312 | 0.5092 | 0.4349 | | No log | 6.0 | 36 | 0.7352 | 0.3824 | 0.7472 | | No log | 6.3333 | 38 | 0.8022 | 0.3824 | 0.8152 | | No log | 6.6667 | 40 | 0.6388 | 0.3988 | 0.6477 | | No log | 7.0 | 42 | 0.5174 | 0.4043 | 0.5223 | | No log | 7.3333 | 44 | 0.4579 | 0.4988 | 0.4598 | | No log | 7.6667 | 46 | 0.4255 | 0.6171 | 0.4251 | | No log | 8.0 | 48 | 0.4172 | 0.6171 | 0.4166 | | No log | 8.3333 | 50 | 0.4446 | 0.4989 | 0.4459 | | No log | 8.6667 | 52 | 0.5029 | 0.5155 | 0.5068 | | No log | 9.0 | 54 | 0.5447 | 0.4658 | 0.5502 | | No log | 9.3333 | 56 | 0.5508 | 0.4658 | 0.5564 | | No log | 9.6667 | 58 | 0.5519 | 0.4658 | 0.5575 | | No log | 10.0 | 60 | 0.5458 | 0.4658 | 0.5512 | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0 - Datasets 2.21.0 - Tokenizers 0.19.1