arabert_baseline_mechanics_task6_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: 1.0047
- Qwk: 0.4859
- Mse: 1.0047
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 | 1.3188 | 0.1646 | 1.3188 |
| No log | 1.0 | 4 | 0.9104 | 0.3453 | 0.9104 |
| No log | 1.5 | 6 | 0.9681 | 0.3684 | 0.9681 |
| No log | 2.0 | 8 | 0.9649 | 0.3053 | 0.9649 |
| No log | 2.5 | 10 | 0.8511 | 0.3684 | 0.8511 |
| No log | 3.0 | 12 | 0.8161 | 0.3869 | 0.8161 |
| No log | 3.5 | 14 | 0.8312 | 0.5333 | 0.8312 |
| No log | 4.0 | 16 | 1.0768 | 0.4129 | 1.0768 |
| No log | 4.5 | 18 | 1.1227 | 0.4277 | 1.1227 |
| No log | 5.0 | 20 | 1.0800 | 0.4277 | 1.0800 |
| No log | 5.5 | 22 | 0.9594 | 0.5648 | 0.9594 |
| No log | 6.0 | 24 | 0.8494 | 0.4400 | 0.8494 |
| No log | 6.5 | 26 | 0.8298 | 0.4413 | 0.8298 |
| No log | 7.0 | 28 | 0.8737 | 0.4400 | 0.8737 |
| No log | 7.5 | 30 | 0.9941 | 0.6244 | 0.9941 |
| No log | 8.0 | 32 | 1.0585 | 0.5088 | 1.0585 |
| No log | 8.5 | 34 | 1.0554 | 0.5088 | 1.0554 |
| No log | 9.0 | 36 | 1.0367 | 0.4385 | 1.0367 |
| No log | 9.5 | 38 | 1.0146 | 0.5556 | 1.0146 |
| No log | 10.0 | 40 | 1.0047 | 0.4859 | 1.0047 |
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_mechanics_task6_fold0
Base model
aubmindlab/bert-base-arabertv02