arabert_baseline_organization_task8_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: 0.3060
- Qwk: 0.7308
- Mse: 0.3060
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 | 1.3363 | 0.1206 | 1.3363 |
| No log | 1.0 | 4 | 1.0314 | 0.4940 | 1.0314 |
| No log | 1.5 | 6 | 0.6916 | 0.5444 | 0.6916 |
| No log | 2.0 | 8 | 0.6153 | 0.4510 | 0.6153 |
| No log | 2.5 | 10 | 0.6686 | 0.5062 | 0.6686 |
| No log | 3.0 | 12 | 0.4719 | 0.6147 | 0.4719 |
| No log | 3.5 | 14 | 0.3635 | 0.7172 | 0.3635 |
| No log | 4.0 | 16 | 0.3213 | 0.7070 | 0.3213 |
| No log | 4.5 | 18 | 0.2998 | 0.6908 | 0.2998 |
| No log | 5.0 | 20 | 0.4019 | 0.6111 | 0.4019 |
| No log | 5.5 | 22 | 0.6037 | 0.5368 | 0.6037 |
| No log | 6.0 | 24 | 0.5509 | 0.5368 | 0.5509 |
| No log | 6.5 | 26 | 0.4100 | 0.6908 | 0.4100 |
| No log | 7.0 | 28 | 0.3021 | 0.7308 | 0.3021 |
| No log | 7.5 | 30 | 0.2592 | 0.8192 | 0.2592 |
| No log | 8.0 | 32 | 0.2596 | 0.8346 | 0.2596 |
| No log | 8.5 | 34 | 0.2632 | 0.8346 | 0.2632 |
| No log | 9.0 | 36 | 0.2747 | 0.8192 | 0.2747 |
| No log | 9.5 | 38 | 0.2933 | 0.7308 | 0.2933 |
| No log | 10.0 | 40 | 0.3060 | 0.7308 | 0.3060 |
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_task8_fold1
Base model
aubmindlab/bert-base-arabertv02