---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: arabert_cross_organization_task1_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_cross_organization_task1_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: 0.9574
- Qwk: 0.0360
- Mse: 0.9373

## 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
| No log        | 0.0323 | 2    | 3.1928          | -0.0077 | 3.2127 |
| No log        | 0.0645 | 4    | 1.1180          | 0.0198  | 1.1153 |
| No log        | 0.0968 | 6    | 1.0643          | 0.0141  | 1.0568 |
| No log        | 0.1290 | 8    | 1.0400          | 0.0141  | 1.0308 |
| No log        | 0.1613 | 10   | 1.2588          | 0.0105  | 1.2534 |
| No log        | 0.1935 | 12   | 0.9630          | 0.0141  | 0.9539 |
| No log        | 0.2258 | 14   | 0.8031          | 0.0767  | 0.7906 |
| No log        | 0.2581 | 16   | 0.8516          | 0.1009  | 0.8359 |
| No log        | 0.2903 | 18   | 0.9617          | -0.0197 | 0.9430 |
| No log        | 0.3226 | 20   | 1.0261          | -0.0057 | 1.0047 |
| No log        | 0.3548 | 22   | 1.0994          | -0.0299 | 1.0758 |
| No log        | 0.3871 | 24   | 1.1080          | 0.0318  | 1.0834 |
| No log        | 0.4194 | 26   | 1.1282          | 0.0227  | 1.1033 |
| No log        | 0.4516 | 28   | 1.0113          | 0.0668  | 0.9885 |
| No log        | 0.4839 | 30   | 0.9879          | 0.0674  | 0.9663 |
| No log        | 0.5161 | 32   | 1.0596          | 0.0360  | 1.0373 |
| No log        | 0.5484 | 34   | 1.0864          | 0.0     | 1.0644 |
| No log        | 0.5806 | 36   | 1.0150          | 0.0     | 0.9946 |
| No log        | 0.6129 | 38   | 0.9073          | 0.0710  | 0.8891 |
| No log        | 0.6452 | 40   | 0.8557          | 0.0894  | 0.8386 |
| No log        | 0.6774 | 42   | 0.8437          | 0.1150  | 0.8269 |
| No log        | 0.7097 | 44   | 0.8440          | 0.1369  | 0.8270 |
| No log        | 0.7419 | 46   | 0.8463          | 0.1369  | 0.8291 |
| No log        | 0.7742 | 48   | 0.8397          | 0.1490  | 0.8226 |
| No log        | 0.8065 | 50   | 0.8535          | 0.1117  | 0.8359 |
| No log        | 0.8387 | 52   | 0.8803          | 0.0880  | 0.8619 |
| No log        | 0.8710 | 54   | 0.9170          | 0.0360  | 0.8978 |
| No log        | 0.9032 | 56   | 0.9334          | 0.0360  | 0.9139 |
| No log        | 0.9355 | 58   | 0.9400          | 0.0360  | 0.9203 |
| No log        | 0.9677 | 60   | 0.9514          | 0.0360  | 0.9315 |
| No log        | 1.0    | 62   | 0.9574          | 0.0360  | 0.9373 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1