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---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_grammar_task1_fold0
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_grammar_task1_fold0
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: 0.5311
- Qwk: 0.5882
- Mse: 0.5332
## 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 | 0.3333 | 2 | 4.8751 | -0.0497 | 4.7777 |
| No log | 0.6667 | 4 | 1.9817 | 0.0263 | 1.9110 |
| No log | 1.0 | 6 | 1.0160 | 0.1348 | 0.9761 |
| No log | 1.3333 | 8 | 0.8888 | 0.2611 | 0.8614 |
| No log | 1.6667 | 10 | 0.7375 | 0.4340 | 0.7296 |
| No log | 2.0 | 12 | 0.9526 | 0.2222 | 0.9430 |
| No log | 2.3333 | 14 | 0.8202 | 0.3636 | 0.8111 |
| No log | 2.6667 | 16 | 0.6506 | 0.4324 | 0.6405 |
| No log | 3.0 | 18 | 0.7279 | 0.4290 | 0.7066 |
| No log | 3.3333 | 20 | 0.8689 | 0.3668 | 0.8447 |
| No log | 3.6667 | 22 | 0.7419 | 0.4119 | 0.7226 |
| No log | 4.0 | 24 | 0.6583 | 0.5051 | 0.6408 |
| No log | 4.3333 | 26 | 0.6672 | 0.4726 | 0.6487 |
| No log | 4.6667 | 28 | 0.6625 | 0.4373 | 0.6466 |
| No log | 5.0 | 30 | 0.6519 | 0.4061 | 0.6397 |
| No log | 5.3333 | 32 | 0.6430 | 0.4358 | 0.6321 |
| No log | 5.6667 | 34 | 0.6395 | 0.4358 | 0.6295 |
| No log | 6.0 | 36 | 0.6008 | 0.5051 | 0.5923 |
| No log | 6.3333 | 38 | 0.5776 | 0.5051 | 0.5691 |
| No log | 6.6667 | 40 | 0.5657 | 0.5051 | 0.5566 |
| No log | 7.0 | 42 | 0.5537 | 0.5051 | 0.5464 |
| No log | 7.3333 | 44 | 0.5474 | 0.5051 | 0.5417 |
| No log | 7.6667 | 46 | 0.5355 | 0.5051 | 0.5321 |
| No log | 8.0 | 48 | 0.5261 | 0.5051 | 0.5245 |
| No log | 8.3333 | 50 | 0.5235 | 0.5882 | 0.5233 |
| No log | 8.6667 | 52 | 0.5271 | 0.5882 | 0.5280 |
| No log | 9.0 | 54 | 0.5282 | 0.5882 | 0.5300 |
| No log | 9.3333 | 56 | 0.5296 | 0.5882 | 0.5318 |
| No log | 9.6667 | 58 | 0.5304 | 0.5882 | 0.5327 |
| No log | 10.0 | 60 | 0.5311 | 0.5882 | 0.5332 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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