---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Urdu_Based_ASR_Model_FYP
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0030
- Wer: 93.0849

## 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: 1e-05
- train_batch_size: 16
- 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: 100
- training_steps: 700
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2479        | 2.27  | 100  | 1.0445          | 103.8776 |
| 0.3529        | 4.55  | 200  | 0.2966          | 70.4653  |
| 0.148         | 6.82  | 300  | 0.1006          | 54.3300  |
| 0.047         | 9.09  | 400  | 0.0274          | 52.7574  |
| 0.0101        | 11.36 | 500  | 0.0099          | 65.1659  |
| 0.0041        | 13.64 | 600  | 0.0039          | 84.2309  |
| 0.0033        | 15.91 | 700  | 0.0030          | 93.0849  |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3