---
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
model-index:
- name: hindi
  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. -->

# hindi

This model was trained from scratch on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.8079
- eval_wer: 0.4951
- eval_runtime: 225.6871
- eval_samples_per_second: 12.823
- eval_steps_per_second: 1.604
- epoch: 1.71
- step: 1400

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2