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---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_style_task6_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_task6_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: 0.8646
- Qwk: 0.5642
- Mse: 0.8646
## 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 | 1.9949 | 0.0653 | 1.9949 |
| No log | 1.0 | 4 | 0.9870 | 0.4463 | 0.9870 |
| No log | 1.5 | 6 | 1.0110 | 0.3212 | 1.0110 |
| No log | 2.0 | 8 | 1.2493 | 0.1888 | 1.2493 |
| No log | 2.5 | 10 | 1.3543 | 0.2877 | 1.3543 |
| No log | 3.0 | 12 | 0.9301 | 0.3348 | 0.9301 |
| No log | 3.5 | 14 | 0.8618 | 0.4615 | 0.8618 |
| No log | 4.0 | 16 | 0.8638 | 0.3275 | 0.8638 |
| No log | 4.5 | 18 | 0.8955 | 0.4340 | 0.8955 |
| No log | 5.0 | 20 | 0.9073 | 0.5391 | 0.9073 |
| No log | 5.5 | 22 | 0.8973 | 0.5817 | 0.8973 |
| No log | 6.0 | 24 | 0.9007 | 0.5817 | 0.9007 |
| No log | 6.5 | 26 | 0.8920 | 0.5817 | 0.8920 |
| No log | 7.0 | 28 | 0.8869 | 0.5817 | 0.8869 |
| No log | 7.5 | 30 | 0.8758 | 0.5817 | 0.8758 |
| No log | 8.0 | 32 | 0.8811 | 0.5642 | 0.8811 |
| No log | 8.5 | 34 | 0.8874 | 0.4943 | 0.8874 |
| No log | 9.0 | 36 | 0.8749 | 0.5642 | 0.8749 |
| No log | 9.5 | 38 | 0.8676 | 0.5642 | 0.8676 |
| No log | 10.0 | 40 | 0.8646 | 0.5642 | 0.8646 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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