| --- |
| base_model: aubmindlab/bert-base-arabertv02 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: 2levels_52521 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 2levels_52521 |
| |
| 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: 0.9976 |
| - Macro F1: 0.8132 |
| - Macro Precision: 0.8220 |
| - Macro Recall: 0.8153 |
| - Accuracy: 0.8140 |
| |
| ## 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: 64 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 6 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:| |
| | 0.4301 | 1.0 | 821 | 0.3758 | 0.8300 | 0.8360 | 0.8315 | 0.8305 | |
| | 0.2994 | 2.0 | 1642 | 0.4510 | 0.8141 | 0.8311 | 0.8175 | 0.8157 | |
| | 0.2131 | 3.0 | 2463 | 0.5463 | 0.8077 | 0.8252 | 0.8113 | 0.8095 | |
| | 0.0958 | 4.0 | 3284 | 0.7365 | 0.8081 | 0.8229 | 0.8113 | 0.8096 | |
| | 0.055 | 5.0 | 4105 | 0.9349 | 0.8113 | 0.8245 | 0.8142 | 0.8126 | |
| | 0.0352 | 6.0 | 4926 | 0.9976 | 0.8132 | 0.8220 | 0.8153 | 0.8140 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.43.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.4.1 |
| - Tokenizers 0.19.1 |
| |
