metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_task8_fold0
results: []
arabert_baseline_mechanics_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: 0.4456
- Qwk: 0.7094
- Mse: 0.4456
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 | 1.7489 | 0.0491 | 1.7489 |
| No log | 1.0 | 4 | 1.3896 | 0.1642 | 1.3896 |
| No log | 1.5 | 6 | 1.1796 | 0.3277 | 1.1796 |
| No log | 2.0 | 8 | 0.9747 | 0.4703 | 0.9747 |
| No log | 2.5 | 10 | 0.8441 | 0.4560 | 0.8441 |
| No log | 3.0 | 12 | 0.7876 | 0.4560 | 0.7876 |
| No log | 3.5 | 14 | 0.7251 | 0.5758 | 0.7251 |
| No log | 4.0 | 16 | 0.6598 | 0.5919 | 0.6598 |
| No log | 4.5 | 18 | 0.6220 | 0.5919 | 0.6220 |
| No log | 5.0 | 20 | 0.5659 | 0.6571 | 0.5659 |
| No log | 5.5 | 22 | 0.5619 | 0.5709 | 0.5619 |
| No log | 6.0 | 24 | 0.5885 | 0.5056 | 0.5885 |
| No log | 6.5 | 26 | 0.5705 | 0.5056 | 0.5705 |
| No log | 7.0 | 28 | 0.5149 | 0.7094 | 0.5149 |
| No log | 7.5 | 30 | 0.4887 | 0.7094 | 0.4887 |
| No log | 8.0 | 32 | 0.4700 | 0.7094 | 0.4700 |
| No log | 8.5 | 34 | 0.4603 | 0.7094 | 0.4603 |
| No log | 9.0 | 36 | 0.4527 | 0.7094 | 0.4527 |
| No log | 9.5 | 38 | 0.4477 | 0.7821 | 0.4477 |
| No log | 10.0 | 40 | 0.4456 | 0.7094 | 0.4456 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1