---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-telugu-asr
  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-xls-r-300m-telugu-asr

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8208
- Wer: 1.0395

## 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: 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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 11.4834       | 1.37  | 200  | 4.8950          | 1.0    |
| 3.9043        | 2.74  | 400  | 3.8879          | 1.0    |
| 3.7152        | 4.11  | 600  | 3.6273          | 1.0    |
| 3.6229        | 5.48  | 800  | 3.8105          | 1.0    |
| 3.5465        | 6.85  | 1000 | 3.6970          | 1.0    |
| 3.5106        | 8.22  | 1200 | 3.6657          | 1.0    |
| 3.3731        | 9.59  | 1400 | 3.4669          | 0.9995 |
| 3.183         | 10.96 | 1600 | 3.1894          | 0.9983 |
| 2.9215        | 12.33 | 1800 | 2.9099          | 0.9993 |
| 2.5357        | 13.7  | 2000 | 2.8166          | 1.0407 |
| 2.1257        | 15.07 | 2200 | 2.6122          | 1.0205 |
| 1.7549        | 16.44 | 2400 | 2.5981          | 1.0457 |
| 1.4642        | 17.81 | 2600 | 2.5619          | 1.0015 |
| 1.1814        | 19.18 | 2800 | 2.8769          | 0.9836 |
| 0.9759        | 20.55 | 3000 | 2.8497          | 1.0078 |
| 0.8066        | 21.92 | 3200 | 3.1365          | 1.0655 |
| 0.6614        | 23.29 | 3400 | 3.1759          | 0.9964 |
| 0.5687        | 24.66 | 3600 | 3.3751          | 1.0103 |
| 0.4987        | 26.03 | 3800 | 3.5111          | 1.0180 |
| 0.4304        | 27.4  | 4000 | 3.6908          | 1.0200 |
| 0.3818        | 28.77 | 4200 | 3.8208          | 1.0395 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.10.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2