arabert_baseline_grammar_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: 0.6034
- Qwk: 0.0
- Mse: 0.6123
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 | 3.3662 | -0.0117 | 3.3080 |
| No log | 1.3333 | 4 | 1.1203 | -0.1172 | 1.0755 |
| No log | 2.0 | 6 | 0.8683 | -0.1134 | 0.8544 |
| No log | 2.6667 | 8 | 0.6489 | -0.0476 | 0.6406 |
| No log | 3.3333 | 10 | 0.4735 | -0.0476 | 0.4763 |
| No log | 4.0 | 12 | 0.3822 | -0.0476 | 0.3821 |
| No log | 4.6667 | 14 | 0.5267 | -0.0476 | 0.5316 |
| No log | 5.3333 | 16 | 0.4612 | -0.0476 | 0.4639 |
| No log | 6.0 | 18 | 0.3363 | 0.3529 | 0.3349 |
| No log | 6.6667 | 20 | 0.3888 | -0.0476 | 0.3896 |
| No log | 7.3333 | 22 | 0.4637 | -0.0476 | 0.4673 |
| No log | 8.0 | 24 | 0.5117 | 0.0 | 0.5172 |
| No log | 8.6667 | 26 | 0.5877 | 0.0 | 0.5954 |
| No log | 9.3333 | 28 | 0.6138 | 0.0 | 0.6226 |
| No log | 10.0 | 30 | 0.6034 | 0.0 | 0.6123 |
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_grammar_task3_fold0
Base model
aubmindlab/bert-base-arabertv02