arabert_baseline_organization_task3_fold1
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: 0.5660
- Qwk: 0.0120
- Mse: 0.6114
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 | 3.6631 | 0.0494 | 3.6515 |
| No log | 1.3333 | 4 | 1.3687 | -0.0302 | 1.4053 |
| No log | 2.0 | 6 | 1.0057 | -0.0097 | 1.0728 |
| No log | 2.6667 | 8 | 0.5822 | 0.0403 | 0.6339 |
| No log | 3.3333 | 10 | 0.6456 | 0.0120 | 0.7020 |
| No log | 4.0 | 12 | 0.7331 | 0.0 | 0.7912 |
| No log | 4.6667 | 14 | 0.7761 | 0.0 | 0.8325 |
| No log | 5.3333 | 16 | 0.6870 | 0.0 | 0.7416 |
| No log | 6.0 | 18 | 0.6157 | 0.0 | 0.6661 |
| No log | 6.6667 | 20 | 0.5690 | 0.0120 | 0.6176 |
| No log | 7.3333 | 22 | 0.5419 | 0.1646 | 0.5867 |
| No log | 8.0 | 24 | 0.5390 | 0.1646 | 0.5830 |
| No log | 8.6667 | 26 | 0.5477 | 0.0120 | 0.5917 |
| No log | 9.3333 | 28 | 0.5587 | 0.0120 | 0.6034 |
| No log | 10.0 | 30 | 0.5660 | 0.0120 | 0.6114 |
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_organization_task3_fold1
Base model
aubmindlab/bert-base-arabertv02