metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task6_fold0
results: []
arabert_baseline_relevance_task6_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: 0.4526
- Qwk: 0.3226
- Mse: 0.4526
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 | 0.6801 | 0.0541 | 0.6801 |
| No log | 1.0 | 4 | 0.6246 | 0.1127 | 0.6246 |
| No log | 1.5 | 6 | 0.5719 | 0.2222 | 0.5719 |
| No log | 2.0 | 8 | 0.4467 | 0.2222 | 0.4467 |
| No log | 2.5 | 10 | 0.4958 | 0.3288 | 0.4958 |
| No log | 3.0 | 12 | 0.4784 | 0.4324 | 0.4784 |
| No log | 3.5 | 14 | 0.4142 | 0.5116 | 0.4142 |
| No log | 4.0 | 16 | 0.4299 | 0.5977 | 0.4299 |
| No log | 4.5 | 18 | 0.4577 | 0.58 | 0.4577 |
| No log | 5.0 | 20 | 0.4773 | 0.5664 | 0.4773 |
| No log | 5.5 | 22 | 0.4936 | 0.5664 | 0.4936 |
| No log | 6.0 | 24 | 0.4974 | 0.5000 | 0.4974 |
| No log | 6.5 | 26 | 0.5038 | 0.5088 | 0.5038 |
| No log | 7.0 | 28 | 0.5060 | 0.3937 | 0.5060 |
| No log | 7.5 | 30 | 0.4888 | 0.4444 | 0.4888 |
| No log | 8.0 | 32 | 0.4685 | 0.4444 | 0.4685 |
| No log | 8.5 | 34 | 0.4544 | 0.3226 | 0.4544 |
| No log | 9.0 | 36 | 0.4497 | 0.3226 | 0.4497 |
| No log | 9.5 | 38 | 0.4507 | 0.3226 | 0.4507 |
| No log | 10.0 | 40 | 0.4526 | 0.3226 | 0.4526 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1