---
language:
- te
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- Sonal0205/telugu_whisper_asr
metrics:
- wer
model-index:
- name: Whisper Small te - heisenberg3376
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: telugu asr
      type: Sonal0205/telugu_whisper_asr
      args: 'config: te, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 30.053507728894175
---

<!-- 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. -->

# Whisper Small te - heisenberg3376

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Sonal0205/telugu_whisper_asr](https://huggingface.co/datasets/Sonal0205/telugu_whisper_asr) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1082
- Wer: 30.0535

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0923        | 1.0582 | 1000 | 0.1281          | 43.7277 |
| 0.0377        | 2.1164 | 2000 | 0.1060          | 35.0773 |
| 0.0151        | 3.1746 | 3000 | 0.1125          | 32.5505 |
| 0.0063        | 4.2328 | 4000 | 0.1082          | 30.0535 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1