metadata
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_organization_task8_fold0
results: []
arabert_baseline_organization_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: 0.4941
- Qwk: 0.6010
- Mse: 0.4941
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 | 1.4026 | 0.0558 | 1.4026 |
| No log | 1.0 | 4 | 1.1702 | 0.0 | 1.1702 |
| No log | 1.5 | 6 | 1.0793 | -0.0294 | 1.0793 |
| No log | 2.0 | 8 | 1.0475 | 0.4031 | 1.0475 |
| No log | 2.5 | 10 | 0.9473 | 0.5191 | 0.9473 |
| No log | 3.0 | 12 | 0.8743 | 0.3158 | 0.8743 |
| No log | 3.5 | 14 | 0.7934 | 0.3158 | 0.7934 |
| No log | 4.0 | 16 | 0.6914 | 0.4324 | 0.6914 |
| No log | 4.5 | 18 | 0.6177 | 0.4940 | 0.6177 |
| No log | 5.0 | 20 | 0.5611 | 0.4940 | 0.5611 |
| No log | 5.5 | 22 | 0.5294 | 0.5714 | 0.5294 |
| No log | 6.0 | 24 | 0.5033 | 0.5670 | 0.5033 |
| No log | 6.5 | 26 | 0.4918 | 0.6010 | 0.4918 |
| No log | 7.0 | 28 | 0.4919 | 0.6010 | 0.4919 |
| No log | 7.5 | 30 | 0.4963 | 0.6010 | 0.4963 |
| No log | 8.0 | 32 | 0.4997 | 0.6010 | 0.4997 |
| No log | 8.5 | 34 | 0.4990 | 0.6010 | 0.4990 |
| No log | 9.0 | 36 | 0.4963 | 0.6010 | 0.4963 |
| No log | 9.5 | 38 | 0.4948 | 0.6010 | 0.4948 |
| No log | 10.0 | 40 | 0.4941 | 0.6010 | 0.4941 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1