---
base_model: PureFighter/autotrain-topic-classification
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: arabertv2-topic-classification-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arabertv2-topic-classification-finetuned

This model is a fine-tuned version of [PureFighter/autotrain-topic-classification](https://huggingface.co/PureFighter/autotrain-topic-classification) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5776
- Accuracy: 0.8383

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.1143        | 0.6667 | 250  | 0.9106          | 0.7455   |
| 0.573         | 1.3333 | 500  | 0.6648          | 0.7994   |
| 0.5023        | 2.0    | 750  | 0.6021          | 0.8323   |
| 0.3985        | 2.6667 | 1000 | 0.5776          | 0.8383   |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1