metadata
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: >-
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task1_organization
results: []
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task1_organization
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: 0.8934
- Qwk: 0.6871
- Mse: 0.8934
- Rmse: 0.9452
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: 8
- eval_batch_size: 8
- 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 | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.5 | 2 | 3.7117 | 0.1429 | 3.7117 | 1.9266 |
| No log | 1.0 | 4 | 2.1519 | 0.2390 | 2.1519 | 1.4669 |
| No log | 1.5 | 6 | 1.0964 | 0.4800 | 1.0964 | 1.0471 |
| No log | 2.0 | 8 | 0.9221 | 0.3734 | 0.9221 | 0.9602 |
| No log | 2.5 | 10 | 0.8148 | 0.5234 | 0.8148 | 0.9026 |
| No log | 3.0 | 12 | 0.7699 | 0.5859 | 0.7699 | 0.8774 |
| No log | 3.5 | 14 | 0.8276 | 0.6326 | 0.8276 | 0.9097 |
| No log | 4.0 | 16 | 0.7629 | 0.6927 | 0.7629 | 0.8734 |
| No log | 4.5 | 18 | 0.7543 | 0.6973 | 0.7543 | 0.8685 |
| No log | 5.0 | 20 | 0.7117 | 0.7219 | 0.7117 | 0.8436 |
| No log | 5.5 | 22 | 0.7554 | 0.7041 | 0.7554 | 0.8691 |
| No log | 6.0 | 24 | 0.9363 | 0.6586 | 0.9363 | 0.9676 |
| No log | 6.5 | 26 | 0.9602 | 0.6462 | 0.9602 | 0.9799 |
| No log | 7.0 | 28 | 0.8795 | 0.6641 | 0.8795 | 0.9378 |
| No log | 7.5 | 30 | 0.8847 | 0.6631 | 0.8847 | 0.9406 |
| No log | 8.0 | 32 | 0.8917 | 0.6699 | 0.8917 | 0.9443 |
| No log | 8.5 | 34 | 0.9017 | 0.6699 | 0.9017 | 0.9496 |
| No log | 9.0 | 36 | 0.9023 | 0.6699 | 0.9023 | 0.9499 |
| No log | 9.5 | 38 | 0.8919 | 0.6826 | 0.8919 | 0.9444 |
| No log | 10.0 | 40 | 0.8934 | 0.6871 | 0.8934 | 0.9452 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1