metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task8_fold0
results: []
arabert_baseline_vocabulary_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: 0.3519
- Qwk: 0.7059
- Mse: 0.3519
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 | 2.4116 | 0.0 | 2.4116 |
| No log | 1.0 | 4 | 1.3953 | 0.1860 | 1.3953 |
| No log | 1.5 | 6 | 0.6553 | 0.5772 | 0.6553 |
| No log | 2.0 | 8 | 0.5969 | 0.5977 | 0.5969 |
| No log | 2.5 | 10 | 0.4486 | 0.7059 | 0.4486 |
| No log | 3.0 | 12 | 0.2418 | 0.8011 | 0.2418 |
| No log | 3.5 | 14 | 0.3669 | 0.7059 | 0.3669 |
| No log | 4.0 | 16 | 0.7921 | 0.5459 | 0.7921 |
| No log | 4.5 | 18 | 0.5441 | 0.6277 | 0.5441 |
| No log | 5.0 | 20 | 0.3384 | 0.7168 | 0.3384 |
| No log | 5.5 | 22 | 0.3399 | 0.7572 | 0.3399 |
| No log | 6.0 | 24 | 0.3927 | 0.6939 | 0.3927 |
| No log | 6.5 | 26 | 0.5647 | 0.6277 | 0.5647 |
| No log | 7.0 | 28 | 0.5237 | 0.6356 | 0.5237 |
| No log | 7.5 | 30 | 0.3655 | 0.7794 | 0.3655 |
| No log | 8.0 | 32 | 0.2983 | 0.7794 | 0.2983 |
| No log | 8.5 | 34 | 0.3016 | 0.7794 | 0.3016 |
| No log | 9.0 | 36 | 0.3254 | 0.7794 | 0.3254 |
| No log | 9.5 | 38 | 0.3414 | 0.7667 | 0.3414 |
| No log | 10.0 | 40 | 0.3519 | 0.7059 | 0.3519 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1