arabert_baseline_relevance_task6_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: 0.2487
- Qwk: 0.4545
- Mse: 0.2487
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 | 0.2676 | 0.2727 | 0.2676 |
| No log | 1.0 | 4 | 0.3056 | 0.2727 | 0.3056 |
| No log | 1.5 | 6 | 0.2873 | 0.3636 | 0.2873 |
| No log | 2.0 | 8 | 0.3326 | 0.3636 | 0.3326 |
| No log | 2.5 | 10 | 0.2924 | 0.3636 | 0.2924 |
| No log | 3.0 | 12 | 0.2560 | 0.3636 | 0.2560 |
| No log | 3.5 | 14 | 0.2341 | 0.3636 | 0.2341 |
| No log | 4.0 | 16 | 0.2402 | 0.4545 | 0.2402 |
| No log | 4.5 | 18 | 0.2513 | 0.4545 | 0.2513 |
| No log | 5.0 | 20 | 0.2596 | 0.4545 | 0.2596 |
| No log | 5.5 | 22 | 0.2641 | 0.4545 | 0.2641 |
| No log | 6.0 | 24 | 0.2500 | 0.4545 | 0.2500 |
| No log | 6.5 | 26 | 0.2509 | 0.4545 | 0.2509 |
| No log | 7.0 | 28 | 0.2495 | 0.4545 | 0.2495 |
| No log | 7.5 | 30 | 0.2478 | 0.4545 | 0.2478 |
| No log | 8.0 | 32 | 0.2467 | 0.4545 | 0.2467 |
| No log | 8.5 | 34 | 0.2479 | 0.4545 | 0.2479 |
| No log | 9.0 | 36 | 0.2484 | 0.4545 | 0.2484 |
| No log | 9.5 | 38 | 0.2486 | 0.4545 | 0.2486 |
| No log | 10.0 | 40 | 0.2487 | 0.4545 | 0.2487 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 0
Model tree for salbatarni/arabert_baseline_relevance_task6_fold1
Base model
aubmindlab/bert-base-arabertv02