metadata
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: >-
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task2_organization
results: []
ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task2_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: 0.7735
- Qwk: 0.4301
- Mse: 0.7735
- Rmse: 0.8795
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 | 3.9949 | 0.0352 | 3.9949 | 1.9987 |
| No log | 1.0 | 4 | 2.1097 | 0.0566 | 2.1097 | 1.4525 |
| No log | 1.5 | 6 | 1.0984 | 0.0864 | 1.0984 | 1.0480 |
| No log | 2.0 | 8 | 0.8102 | 0.0191 | 0.8102 | 0.9001 |
| No log | 2.5 | 10 | 0.7324 | 0.1841 | 0.7324 | 0.8558 |
| No log | 3.0 | 12 | 0.7691 | 0.1585 | 0.7691 | 0.8770 |
| No log | 3.5 | 14 | 0.9091 | 0.1073 | 0.9091 | 0.9535 |
| No log | 4.0 | 16 | 0.8613 | 0.2259 | 0.8613 | 0.9280 |
| No log | 4.5 | 18 | 0.7906 | 0.2998 | 0.7906 | 0.8892 |
| No log | 5.0 | 20 | 0.8261 | 0.3354 | 0.8261 | 0.9089 |
| No log | 5.5 | 22 | 1.0001 | 0.2999 | 1.0001 | 1.0001 |
| No log | 6.0 | 24 | 0.9977 | 0.2453 | 0.9977 | 0.9989 |
| No log | 6.5 | 26 | 0.9361 | 0.2159 | 0.9361 | 0.9675 |
| No log | 7.0 | 28 | 0.8738 | 0.3377 | 0.8738 | 0.9348 |
| No log | 7.5 | 30 | 0.8251 | 0.3290 | 0.8251 | 0.9083 |
| No log | 8.0 | 32 | 0.7739 | 0.4360 | 0.7739 | 0.8797 |
| No log | 8.5 | 34 | 0.7416 | 0.4903 | 0.7416 | 0.8612 |
| No log | 9.0 | 36 | 0.7446 | 0.4757 | 0.7446 | 0.8629 |
| No log | 9.5 | 38 | 0.7633 | 0.4459 | 0.7633 | 0.8737 |
| No log | 10.0 | 40 | 0.7735 | 0.4301 | 0.7735 | 0.8795 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1