---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-Urdu
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wav2vec2-large-xls-r-300m-Urdu

This model is a fine-tuned version of [kingabzpro/wav2vec2-urdu](https://huggingface.co./kingabzpro/wav2vec2-urdu) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9192
- Wer: 0.4741
- Cer: 0.2504

## 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: 7e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 2.8836        | 16.62 | 50   | 4.7827          | 0.5011 | 0.2625 |
| 0.6992        | 33.31 | 100  | 3.5358          | 0.4882 | 0.2537 |
| 0.6321        | 49.92 | 150  | 4.9054          | 0.4774 | 0.2519 |
| 0.4669        | 66.62 | 200  | 5.9508          | 0.4719 | 0.2513 |
| 0.3119        | 83.31 | 250  | 5.5791          | 0.4745 | 0.2508 |
| 0.2788        | 99.92 | 300  | 4.9192          | 0.4741 | 0.2504 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0