---
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
model-index:
- name: wav2vec2-large-xls-r-300m-hindi-colab-ysv
  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-hindi-colab-ysv

This model was trained from scratch on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.1359
- eval_wer: 0.5396
- eval_runtime: 278.3234
- eval_samples_per_second: 10.588
- eval_steps_per_second: 1.326
- epoch: 18.21
- step: 6800

## 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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Framework versions

- Transformers 4.30.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.13.3