metadata
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: >-
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task5_organization
results: []
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task5_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: 1.2766
- Qwk: 0.6185
- Mse: 1.2766
- Rmse: 1.1299
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 | 2.1918 | 0.0658 | 2.1918 | 1.4805 |
| No log | 1.0 | 4 | 1.4893 | 0.2213 | 1.4893 | 1.2204 |
| No log | 1.5 | 6 | 1.2602 | 0.2203 | 1.2602 | 1.1226 |
| No log | 2.0 | 8 | 1.3721 | 0.2921 | 1.3721 | 1.1714 |
| No log | 2.5 | 10 | 1.5477 | 0.4210 | 1.5477 | 1.2441 |
| No log | 3.0 | 12 | 1.6581 | 0.3796 | 1.6581 | 1.2877 |
| No log | 3.5 | 14 | 1.7377 | 0.3384 | 1.7377 | 1.3182 |
| No log | 4.0 | 16 | 1.5913 | 0.3929 | 1.5913 | 1.2615 |
| No log | 4.5 | 18 | 1.3286 | 0.4654 | 1.3286 | 1.1527 |
| No log | 5.0 | 20 | 1.2595 | 0.5472 | 1.2595 | 1.1223 |
| No log | 5.5 | 22 | 1.3522 | 0.5645 | 1.3522 | 1.1628 |
| No log | 6.0 | 24 | 1.2114 | 0.6261 | 1.2114 | 1.1007 |
| No log | 6.5 | 26 | 1.0620 | 0.6374 | 1.0620 | 1.0305 |
| No log | 7.0 | 28 | 0.9699 | 0.6781 | 0.9699 | 0.9849 |
| No log | 7.5 | 30 | 1.0178 | 0.6579 | 1.0178 | 1.0088 |
| No log | 8.0 | 32 | 1.0751 | 0.6562 | 1.0751 | 1.0369 |
| No log | 8.5 | 34 | 1.1597 | 0.6414 | 1.1597 | 1.0769 |
| No log | 9.0 | 36 | 1.2237 | 0.6270 | 1.2237 | 1.1062 |
| No log | 9.5 | 38 | 1.2766 | 0.6282 | 1.2766 | 1.1299 |
| No log | 10.0 | 40 | 1.2766 | 0.6185 | 1.2766 | 1.1299 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1