---
language:
- ur
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
  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. -->

# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9580
- Wer: 0.6520

## 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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 50.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.5036        | 1.96  | 100  | 4.0538          | 1.0    |
| 3.3669        | 3.92  | 200  | 3.2041          | 1.0    |
| 3.1499        | 5.88  | 300  | 3.1220          | 1.0    |
| 3.0271        | 7.84  | 400  | 2.9935          | 0.9970 |
| 2.9565        | 9.8   | 500  | 2.9357          | 0.9993 |
| 2.9184        | 11.76 | 600  | 2.9165          | 0.9963 |
| 2.8832        | 13.73 | 700  | 2.8762          | 0.9911 |
| 2.8407        | 15.69 | 800  | 2.8102          | 0.9970 |
| 2.7007        | 17.65 | 900  | 2.4364          | 0.9963 |
| 2.4206        | 19.61 | 1000 | 1.9852          | 0.9421 |
| 2.0699        | 21.57 | 1100 | 1.4849          | 0.8343 |
| 1.8311        | 23.53 | 1200 | 1.3084          | 0.7801 |
| 1.7127        | 25.49 | 1300 | 1.2040          | 0.7446 |
| 1.6239        | 27.45 | 1400 | 1.1359          | 0.7280 |
| 1.5654        | 29.41 | 1500 | 1.0688          | 0.7159 |
| 1.4965        | 31.37 | 1600 | 1.0520          | 0.6985 |
| 1.445         | 33.33 | 1700 | 1.0314          | 0.6878 |
| 1.4095        | 35.29 | 1800 | 1.0063          | 0.6712 |
| 1.3853        | 37.25 | 1900 | 0.9848          | 0.6701 |
| 1.3558        | 39.22 | 2000 | 0.9738          | 0.6731 |
| 1.3415        | 41.18 | 2100 | 0.9656          | 0.6646 |
| 1.3102        | 43.14 | 2200 | 0.9632          | 0.6557 |
| 1.309         | 45.1  | 2300 | 0.9496          | 0.6557 |
| 1.2993        | 47.06 | 2400 | 0.9609          | 0.6550 |
| 1.2695        | 49.02 | 2500 | 0.9604          | 0.6542 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0