arabert_baseline_vocabulary_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: 0.2316
- Qwk: 0.8078
- Mse: 0.2316
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 | 1.2852 | 0.2500 | 1.2852 |
| No log | 1.0 | 4 | 0.9284 | 0.5172 | 0.9284 |
| No log | 1.5 | 6 | 0.5474 | 0.6196 | 0.5474 |
| No log | 2.0 | 8 | 0.4192 | 0.6172 | 0.4192 |
| No log | 2.5 | 10 | 0.3456 | 0.7627 | 0.3456 |
| No log | 3.0 | 12 | 0.3051 | 0.832 | 0.3051 |
| No log | 3.5 | 14 | 0.2935 | 0.7850 | 0.2935 |
| No log | 4.0 | 16 | 0.2662 | 0.8078 | 0.2662 |
| No log | 4.5 | 18 | 0.2641 | 0.832 | 0.2641 |
| No log | 5.0 | 20 | 0.2554 | 0.7956 | 0.2554 |
| No log | 5.5 | 22 | 0.2536 | 0.7956 | 0.2536 |
| No log | 6.0 | 24 | 0.2384 | 0.7956 | 0.2384 |
| No log | 6.5 | 26 | 0.2490 | 0.7956 | 0.2490 |
| No log | 7.0 | 28 | 0.2542 | 0.7956 | 0.2542 |
| No log | 7.5 | 30 | 0.2514 | 0.8269 | 0.2514 |
| No log | 8.0 | 32 | 0.2475 | 0.8409 | 0.2475 |
| No log | 8.5 | 34 | 0.2401 | 0.8078 | 0.2401 |
| No log | 9.0 | 36 | 0.2365 | 0.8078 | 0.2365 |
| No log | 9.5 | 38 | 0.2330 | 0.8078 | 0.2330 |
| No log | 10.0 | 40 | 0.2316 | 0.8078 | 0.2316 |
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_vocabulary_task8_fold1
Base model
aubmindlab/bert-base-arabertv02