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---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_relevance_task3_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_relevance_task3_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: 0.2326
- Qwk: 0.0
- Mse: 0.2326
## 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 | 0.6667 | 2 | 0.5604 | -0.0845 | 0.5490 |
| No log | 1.3333 | 4 | 0.4316 | 0.0000 | 0.4136 |
| No log | 2.0 | 6 | 0.4602 | -0.1579 | 0.4699 |
| No log | 2.6667 | 8 | 0.2569 | 0.0294 | 0.2631 |
| No log | 3.3333 | 10 | 0.2323 | 0.0 | 0.2316 |
| No log | 4.0 | 12 | 0.3209 | 0.0 | 0.3171 |
| No log | 4.6667 | 14 | 0.2901 | 0.0 | 0.2877 |
| No log | 5.3333 | 16 | 0.2432 | 0.0 | 0.2433 |
| No log | 6.0 | 18 | 0.2222 | 0.0 | 0.2222 |
| No log | 6.6667 | 20 | 0.2264 | 0.0 | 0.2257 |
| No log | 7.3333 | 22 | 0.2342 | 0.0 | 0.2329 |
| No log | 8.0 | 24 | 0.2393 | 0.0 | 0.2375 |
| No log | 8.6667 | 26 | 0.2361 | 0.0 | 0.2351 |
| No log | 9.3333 | 28 | 0.2342 | 0.0 | 0.2338 |
| No log | 10.0 | 30 | 0.2326 | 0.0 | 0.2326 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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