metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_vocabulary_task3_fold0
results: []
arabert_baseline_vocabulary_task3_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: 0.7079
- Qwk: 0.0222
- Mse: 0.6865
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 | 0.6667 | 2 | 4.5600 | -0.0382 | 4.4780 |
| No log | 1.3333 | 4 | 1.9301 | -0.1611 | 1.8653 |
| No log | 2.0 | 6 | 1.6014 | -0.1987 | 1.5679 |
| No log | 2.6667 | 8 | 0.9403 | 0.0222 | 0.9126 |
| No log | 3.3333 | 10 | 0.9340 | 0.0222 | 0.9239 |
| No log | 4.0 | 12 | 1.2406 | 0.1895 | 1.2359 |
| No log | 4.6667 | 14 | 0.7820 | 0.0222 | 0.7685 |
| No log | 5.3333 | 16 | 0.6609 | -0.0476 | 0.6329 |
| No log | 6.0 | 18 | 0.6633 | 0.2524 | 0.6395 |
| No log | 6.6667 | 20 | 0.8454 | 0.0 | 0.8291 |
| No log | 7.3333 | 22 | 0.9897 | 0.0 | 0.9771 |
| No log | 8.0 | 24 | 0.9105 | 0.0 | 0.8961 |
| No log | 8.6667 | 26 | 0.7687 | 0.0 | 0.7499 |
| No log | 9.3333 | 28 | 0.7158 | 0.0222 | 0.6948 |
| No log | 10.0 | 30 | 0.7079 | 0.0222 | 0.6865 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1