metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task8_fold0
results: []
arabert_baseline_relevance_task8_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: 0.1603
- Qwk: 0.0
- Mse: 0.1603
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 | 0.8396 | 0.0628 | 0.8396 |
| No log | 1.0 | 4 | 0.0941 | 0.0870 | 0.0941 |
| No log | 1.5 | 6 | 0.1025 | 0.0 | 0.1025 |
| No log | 2.0 | 8 | 0.1788 | 0.0 | 0.1788 |
| No log | 2.5 | 10 | 0.2166 | 0.1158 | 0.2166 |
| No log | 3.0 | 12 | 0.3700 | 0.2013 | 0.3700 |
| No log | 3.5 | 14 | 0.3262 | 0.2519 | 0.3262 |
| No log | 4.0 | 16 | 0.1386 | 0.2519 | 0.1386 |
| No log | 4.5 | 18 | 0.1148 | 0.0 | 0.1148 |
| No log | 5.0 | 20 | 0.1624 | 0.0 | 0.1624 |
| No log | 5.5 | 22 | 0.1332 | 0.0 | 0.1332 |
| No log | 6.0 | 24 | 0.1031 | 0.0411 | 0.1031 |
| No log | 6.5 | 26 | 0.1199 | 0.0 | 0.1199 |
| No log | 7.0 | 28 | 0.1398 | 0.0 | 0.1398 |
| No log | 7.5 | 30 | 0.1573 | 0.0 | 0.1573 |
| No log | 8.0 | 32 | 0.1592 | 0.1158 | 0.1592 |
| No log | 8.5 | 34 | 0.1587 | 0.1158 | 0.1587 |
| No log | 9.0 | 36 | 0.1588 | 0.0 | 0.1588 |
| No log | 9.5 | 38 | 0.1591 | 0.0 | 0.1591 |
| No log | 10.0 | 40 | 0.1603 | 0.0 | 0.1603 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1