---
language:
- ur
license: mit
base_model: urduhack/roberta-urdu-small
tags:
- ur
- generated_from_trainer
datasets:
- mwz/ur_financial_phrasebank
model-index:
- name: Urdu Sentiment Classification
  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. -->

# Urdu Sentiment Classification

This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the financial_phrasebank dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5088

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1051        | 1.96  | 500  | 0.6554          |
| 0.1383        | 3.92  | 1000 | 0.5446          |
| 0.0725        | 5.88  | 1500 | 0.4635          |
| 0.0187        | 7.84  | 2000 | 0.4727          |
| 0.0012        | 9.8   | 2500 | 0.5088          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0