arabert_baseline_style_task8_fold0
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3136
- Qwk: 0.7317
- Mse: 0.3136
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 | 0.5 | 2 | 1.6518 | 0.0571 | 1.6518 |
| No log | 1.0 | 4 | 1.0371 | 0.4444 | 1.0371 |
| No log | 1.5 | 6 | 0.7388 | 0.5366 | 0.7388 |
| No log | 2.0 | 8 | 1.1938 | 0.36 | 1.1938 |
| No log | 2.5 | 10 | 0.4631 | 0.6667 | 0.4631 |
| No log | 3.0 | 12 | 0.2492 | 0.7179 | 0.2492 |
| No log | 3.5 | 14 | 0.2694 | 0.7179 | 0.2694 |
| No log | 4.0 | 16 | 0.4368 | 0.6341 | 0.4368 |
| No log | 4.5 | 18 | 0.7618 | 0.5909 | 0.7618 |
| No log | 5.0 | 20 | 0.6253 | 0.5909 | 0.6253 |
| No log | 5.5 | 22 | 0.3729 | 0.7 | 0.3729 |
| No log | 6.0 | 24 | 0.2843 | 0.75 | 0.2843 |
| No log | 6.5 | 26 | 0.3066 | 0.75 | 0.3066 |
| No log | 7.0 | 28 | 0.3650 | 0.7317 | 0.3650 |
| No log | 7.5 | 30 | 0.4196 | 0.6341 | 0.4196 |
| No log | 8.0 | 32 | 0.3773 | 0.6667 | 0.3773 |
| No log | 8.5 | 34 | 0.3197 | 0.7317 | 0.3197 |
| No log | 9.0 | 36 | 0.3106 | 0.7317 | 0.3106 |
| No log | 9.5 | 38 | 0.3073 | 0.7317 | 0.3073 |
| No log | 10.0 | 40 | 0.3136 | 0.7317 | 0.3136 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for salbatarni/arabert_baseline_style_task8_fold0
Base model
aubmindlab/bert-base-arabertv02