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---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_baseline_mechanics_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_mechanics_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: 0.7645
- Qwk: 0.6286
- Mse: 0.7645
## 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 | 1.8889 | 0.0476 | 1.8889 |
| No log | 1.0 | 4 | 1.1278 | 0.4828 | 1.1278 |
| No log | 1.5 | 6 | 1.1361 | 0.3077 | 1.1361 |
| No log | 2.0 | 8 | 1.2627 | 0.1818 | 1.2627 |
| No log | 2.5 | 10 | 1.5946 | 0.25 | 1.5946 |
| No log | 3.0 | 12 | 1.0845 | 0.3429 | 1.0845 |
| No log | 3.5 | 14 | 0.8934 | 0.3333 | 0.8934 |
| No log | 4.0 | 16 | 0.9166 | 0.5333 | 0.9166 |
| No log | 4.5 | 18 | 0.9074 | 0.5333 | 0.9074 |
| No log | 5.0 | 20 | 0.8620 | 0.6061 | 0.8620 |
| No log | 5.5 | 22 | 0.8171 | 0.5294 | 0.8171 |
| No log | 6.0 | 24 | 0.7859 | 0.5294 | 0.7859 |
| No log | 6.5 | 26 | 0.8244 | 0.6111 | 0.8244 |
| No log | 7.0 | 28 | 0.8510 | 0.5946 | 0.8510 |
| No log | 7.5 | 30 | 0.8300 | 0.5946 | 0.8300 |
| No log | 8.0 | 32 | 0.7975 | 0.6286 | 0.7975 |
| No log | 8.5 | 34 | 0.7763 | 0.6286 | 0.7763 |
| No log | 9.0 | 36 | 0.7703 | 0.6286 | 0.7703 |
| No log | 9.5 | 38 | 0.7657 | 0.6286 | 0.7657 |
| No log | 10.0 | 40 | 0.7645 | 0.6286 | 0.7645 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
|