---
base_model: UBC-NLP/AraT5v2-base-1024
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: results2
  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. -->

# results2

This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1770
- F1: 0.9794

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.0825        | 1.0   | 543  | 2.9025          | 0.1075 |
| 2.4749        | 2.0   | 1086 | 1.4022          | 0.4926 |
| 0.8659        | 3.0   | 1629 | 0.3157          | 0.8640 |
| 0.3053        | 4.0   | 2172 | 0.2107          | 0.9415 |
| 0.1425        | 5.0   | 2715 | 0.1161          | 0.9794 |
| 0.073         | 6.0   | 3258 | 0.1695          | 0.9794 |
| 0.0444        | 7.0   | 3801 | 0.1721          | 0.9794 |
| 0.0441        | 8.0   | 4344 | 0.1719          | 0.9794 |
| 0.0265        | 9.0   | 4887 | 0.1819          | 0.9794 |
| 0.0252        | 10.0  | 5430 | 0.1770          | 0.9794 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0