---
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 [henilp105/wav2vec2-large-xls-r-300m-telugu-asr](https://huggingface.co/henilp105/wav2vec2-large-xls-r-300m-telugu-asr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.8094

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.3952        | 2.3   | 200  | inf             | 0.9316 |
| 0.9044        | 4.59  | 400  | inf             | 0.8832 |
| 0.5208        | 6.89  | 600  | inf             | 0.8467 |
| 0.3552        | 9.19  | 800  | inf             | 0.8444 |
| 0.259         | 11.49 | 1000 | inf             | 0.84   |
| 0.2113        | 13.79 | 1200 | inf             | 0.8321 |
| 0.1681        | 16.09 | 1400 | inf             | 0.8264 |
| 0.1468        | 18.39 | 1600 | inf             | 0.8281 |
| 0.1321        | 20.69 | 1800 | inf             | 0.8198 |
| 0.1167        | 22.98 | 2000 | inf             | 0.7958 |
| 0.1028        | 25.29 | 2200 | inf             | 0.8007 |
| 0.0947        | 27.58 | 2400 | inf             | 0.8035 |
| 0.0829        | 29.88 | 2600 | inf             | 0.8094 |


### Framework versions

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