---
language:
- kn
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Kn - Bharat Ramanathan
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: google/fleurs
      type: google/fleurs
      config: kn_in
      split: test
    metrics:
    - type: wer
      value: 32.51
      name: WER
---

<!-- 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 Base Kn - Bharat Ramanathan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1974
- Wer: 30.8790

## 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: 96
- eval_batch_size: 64
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.572         | 0.1   | 500  | 0.3198          | 50.3005 |
| 0.3153        | 0.2   | 1000 | 0.2464          | 37.2652 |
| 0.2533        | 0.3   | 1500 | 0.2298          | 36.5515 |
| 0.2212        | 1.04  | 2000 | 0.2157          | 34.5229 |
| 0.2013        | 1.14  | 2500 | 0.2090          | 32.6071 |
| 0.1881        | 1.24  | 3000 | 0.2043          | 32.7198 |
| 0.1784        | 1.34  | 3500 | 0.2014          | 30.8039 |
| 0.1715        | 2.08  | 4000 | 0.2014          | 31.5928 |
| 0.166         | 2.18  | 4500 | 0.1991          | 31.2547 |
| 0.1616        | 2.28  | 5000 | 0.1974          | 30.8790 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2