---
library_name: transformers
language:
- te
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Small Telugu - KKR Nareddy
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Telugu - KKR Nareddy

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7293
- eval_wer: 87.3626
- eval_runtime: 18.4573
- eval_samples_per_second: 2.655
- eval_steps_per_second: 0.379
- epoch: 71.4286
- step: 500

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 90
- training_steps: 1000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0