---
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-53-urdu
  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. -->

# wav2vec2-large-xlsr-53-urdu

This model is a fine-tuned version of [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5727
- Wer: 0.6620
- Cer: 0.3166

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 2.9707        | 8.33  | 100  | 1.2689          | 0.8463 | 0.4373 |
| 0.746         | 16.67 | 200  | 1.2370          | 0.7214 | 0.3486 |
| 0.3719        | 25.0  | 300  | 1.3885          | 0.6908 | 0.3381 |
| 0.2411        | 33.33 | 400  | 1.4780          | 0.6690 | 0.3186 |
| 0.1841        | 41.67 | 500  | 1.5557          | 0.6629 | 0.3241 |
| 0.165         | 50.0  | 600  | 1.5727          | 0.6620 | 0.3166 |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3