| | --- |
| | library_name: transformers |
| | base_model: aubmindlab/bert-base-arabertv2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert-base-arabertv2_Word_CE_19levels |
| | 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. --> |
| |
|
| | # bert-base-arabertv2_Word_CE_19levels |
| | |
| | This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.8378 |
| | - Macro F1: 0.4341 |
| | - Macro Precision: 0.4818 |
| | - Macro Recall: 0.4366 |
| | - Accuracy: 0.5124 |
| | - Accuracy With Margin: 0.6620 |
| | - Distance: 1.3402 |
| | - Quadratic weighted kappa: 0.7507 |
| | - Accuracy 7: 0.6048 |
| | - Accuracy 5: 0.6461 |
| | - Accuracy 3: 0.7196 |
| | |
| | ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 6 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy | Accuracy With Margin | Distance | Quadratic weighted kappa | Accuracy 7 | Accuracy 5 | Accuracy 3 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:--------------------:|:--------:|:------------------------:|:----------:|:----------:|:----------:| |
| | | 1.821 | 1.0 | 857 | 1.5119 | 0.3566 | 0.3707 | 0.3839 | 0.4959 | 0.6328 | 1.4432 | 0.7348 | 0.5997 | 0.6486 | 0.7185 | |
| | | 1.2796 | 2.0 | 1714 | 1.4789 | 0.3907 | 0.4085 | 0.4181 | 0.5166 | 0.6643 | 1.3157 | 0.7614 | 0.6148 | 0.6614 | 0.7363 | |
| | | 1.0458 | 3.0 | 2571 | 1.4990 | 0.4274 | 0.4328 | 0.4307 | 0.5224 | 0.6618 | 1.3138 | 0.7608 | 0.6141 | 0.6565 | 0.7272 | |
| | | 0.8524 | 4.0 | 3428 | 1.6133 | 0.4380 | 0.4963 | 0.4362 | 0.5215 | 0.6625 | 1.3294 | 0.7523 | 0.6107 | 0.6536 | 0.7244 | |
| | | 0.6475 | 5.0 | 4285 | 1.7562 | 0.4295 | 0.4317 | 0.4342 | 0.5166 | 0.6618 | 1.3260 | 0.7545 | 0.6068 | 0.6483 | 0.7237 | |
| | | 0.5186 | 6.0 | 5142 | 1.8378 | 0.4341 | 0.4818 | 0.4366 | 0.5124 | 0.6620 | 1.3402 | 0.7507 | 0.6048 | 0.6461 | 0.7196 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.53.2 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.2 |
| | |
