---
license: mit
base_model: urduhack/roberta-urdu-small
tags:
- generated_from_trainer
datasets:
- massive
model-index:
- name: UrduIntentClassification
  results: []

widget:
- text: جنگ کی کيا نئی خبر ہے
  example_title: News
- text: ہر ہفتے کے دن آٹھ کے لیے الارم سیٹ کریں
  example_title: Alarm
- text: میں mcdonald کو ایک شکایت ٹویٹ کرنا چاہتا ہوں
  example_title: Social
---

<!-- 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. -->

# UrduIntentClassification

This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the massive dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7482

## 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: 16
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3314        | 1.0   | 720  | 1.0549          |
| 0.7468        | 2.0   | 1440 | 0.7997          |
| 0.4117        | 3.0   | 2160 | 0.7482          |
| 0.3267        | 4.0   | 2880 | 0.8247          |
| 0.2292        | 5.0   | 3600 | 0.9014          |
| 0.0356        | 6.0   | 4320 | 0.9446          |
| 0.0123        | 7.0   | 5040 | 0.9757          |
| 0.0208        | 8.0   | 5760 | 0.9854          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3