arabert_baseline_development_task3_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: 0.8217
- Qwk: -0.0645
- Mse: 0.7668
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 | 0.6667 | 2 | 3.8893 | -0.0248 | 3.7493 |
| No log | 1.3333 | 4 | 1.6163 | -0.1603 | 1.5205 |
| No log | 2.0 | 6 | 1.3910 | -0.0522 | 1.3168 |
| No log | 2.6667 | 8 | 0.9920 | -0.1846 | 0.9528 |
| No log | 3.3333 | 10 | 0.9604 | -0.5098 | 0.9287 |
| No log | 4.0 | 12 | 0.7779 | -0.1308 | 0.7306 |
| No log | 4.6667 | 14 | 0.7914 | 0.0 | 0.7387 |
| No log | 5.3333 | 16 | 0.8497 | 0.0 | 0.7909 |
| No log | 6.0 | 18 | 0.8019 | 0.0351 | 0.7466 |
| No log | 6.6667 | 20 | 0.7900 | 0.0748 | 0.7369 |
| No log | 7.3333 | 22 | 0.7934 | -0.0645 | 0.7422 |
| No log | 8.0 | 24 | 0.8050 | -0.0645 | 0.7531 |
| No log | 8.6667 | 26 | 0.8063 | -0.0645 | 0.7543 |
| No log | 9.3333 | 28 | 0.8142 | -0.0645 | 0.7607 |
| No log | 10.0 | 30 | 0.8217 | -0.0645 | 0.7668 |
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_development_task3_fold0
Base model
aubmindlab/bert-base-arabertv02