metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task6_fold1
results: []
arabert_baseline_grammar_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: 0.7851
- Qwk: 0.7296
- Mse: 0.7851
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 | 1.4135 | -0.0678 | 1.4135 |
| No log | 1.0 | 4 | 0.9828 | 0.5032 | 0.9828 |
| No log | 1.5 | 6 | 1.1603 | 0.3288 | 1.1603 |
| No log | 2.0 | 8 | 1.0440 | 0.2036 | 1.0440 |
| No log | 2.5 | 10 | 0.8854 | 0.2383 | 0.8854 |
| No log | 3.0 | 12 | 0.7492 | 0.4348 | 0.7492 |
| No log | 3.5 | 14 | 0.7513 | 0.4348 | 0.7513 |
| No log | 4.0 | 16 | 0.8038 | 0.6500 | 0.8038 |
| No log | 4.5 | 18 | 0.8093 | 0.6500 | 0.8093 |
| No log | 5.0 | 20 | 0.8924 | 0.6847 | 0.8924 |
| No log | 5.5 | 22 | 1.0282 | 0.6805 | 1.0282 |
| No log | 6.0 | 24 | 0.9757 | 0.7296 | 0.9757 |
| No log | 6.5 | 26 | 0.9823 | 0.7296 | 0.9823 |
| No log | 7.0 | 28 | 0.9823 | 0.6957 | 0.9823 |
| No log | 7.5 | 30 | 0.8153 | 0.7296 | 0.8153 |
| No log | 8.0 | 32 | 0.7571 | 0.6192 | 0.7571 |
| No log | 8.5 | 34 | 0.7411 | 0.7014 | 0.7411 |
| No log | 9.0 | 36 | 0.7685 | 0.7296 | 0.7685 |
| No log | 9.5 | 38 | 0.7773 | 0.7296 | 0.7773 |
| No log | 10.0 | 40 | 0.7851 | 0.7296 | 0.7851 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1