---
language:
- kn
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Tiny 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: 43.7
      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 Tiny 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: 0.3057
- Wer: 46.3937

## 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: 150
- 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4091        | 0.1   | 300  | 1.4915          | 101.5026 |
| 1.1294        | 0.2   | 600  | 1.2845          | 94.7408  |
| 0.5426        | 0.3   | 900  | 0.4621          | 64.2374  |
| 0.4128        | 1.02  | 1200 | 0.3695          | 54.6582  |
| 0.3629        | 1.12  | 1500 | 0.3414          | 52.9677  |
| 0.3321        | 1.22  | 1800 | 0.3249          | 50.3005  |
| 0.3066        | 1.32  | 2100 | 0.3181          | 48.9106  |
| 0.2958        | 2.03  | 2400 | 0.3136          | 47.7836  |
| 0.2883        | 2.13  | 2700 | 0.3055          | 46.6191  |
| 0.2857        | 2.23  | 3000 | 0.3057          | 46.3937  |


### Framework versions

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