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---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_style_task8_fold1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# arabert_baseline_style_task8_fold1
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3875
- Qwk: 0.7083
- Mse: 0.3875
## 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 | 1.0660 | 0.2857 | 1.0660 |
| No log | 1.0 | 4 | 0.9800 | 0.4940 | 0.9800 |
| No log | 1.5 | 6 | 0.5715 | 0.5758 | 0.5715 |
| No log | 2.0 | 8 | 0.9494 | 0.3957 | 0.9494 |
| No log | 2.5 | 10 | 0.4859 | 0.6111 | 0.4859 |
| No log | 3.0 | 12 | 0.3914 | 0.8048 | 0.3914 |
| No log | 3.5 | 14 | 0.4214 | 0.7388 | 0.4214 |
| No log | 4.0 | 16 | 0.4551 | 0.7388 | 0.4551 |
| No log | 4.5 | 18 | 0.5826 | 0.7083 | 0.5826 |
| No log | 5.0 | 20 | 0.5851 | 0.6392 | 0.5851 |
| No log | 5.5 | 22 | 0.5408 | 0.7083 | 0.5408 |
| No log | 6.0 | 24 | 0.4212 | 0.7298 | 0.4212 |
| No log | 6.5 | 26 | 0.3887 | 0.8205 | 0.3887 |
| No log | 7.0 | 28 | 0.3697 | 0.8048 | 0.3697 |
| No log | 7.5 | 30 | 0.3635 | 0.8048 | 0.3635 |
| No log | 8.0 | 32 | 0.3627 | 0.8048 | 0.3627 |
| No log | 8.5 | 34 | 0.3751 | 0.7159 | 0.3751 |
| No log | 9.0 | 36 | 0.3889 | 0.7083 | 0.3889 |
| No log | 9.5 | 38 | 0.3890 | 0.7083 | 0.3890 |
| No log | 10.0 | 40 | 0.3875 | 0.7083 | 0.3875 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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