---
license: afl-3.0
tags:
- whisper-event
- generated_from_trainer
- oriya
datasets:
- Ranjit/or_in_dataset
metrics:
- wer
model-index:
- name: Whisper Small Odia 10k steps
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Ranjit/or_in_dataset
      type: Ranjit/or_in_dataset
      split: test
    metrics:
    - name: Wer
      type: wer
      value: 19.772043934466467
language:
- or
pipeline_tag: automatic-speech-recognition
---

<!-- 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 Odia 10k steps

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the [Ranjit/or_in_dataset](https://huggingface.co/datasets/Ranjit/or_in_dataset) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2806
- Wer: 19.7720

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0384        | 0.49  | 1000  | 0.1349          | 40.3740 |
| 0.0175        | 0.98  | 2000  | 0.1601          | 22.6468 |
| 0.0091        | 1.46  | 3000  | 0.1817          | 23.1515 |
| 0.0082        | 1.95  | 4000  | 0.2125          | 23.9139 |
| 0.0048        | 2.44  | 5000  | 0.2110          | 20.2522 |
| 0.0037        | 2.93  | 6000  | 0.2270          | 21.4855 |
| 0.0017        | 3.42  | 7000  | 0.2534          | 20.2399 |
| 0.0018        | 3.9   | 8000  | 0.2706          | 20.7277 |
| 0.0005        | 4.39  | 9000  | 0.2806          | 19.7720 |
| 0.0006        | 4.88  | 10000 | 0.2929          | 20.9747 |


<!-- ### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.10.1
- Tokenizers 0.13.2 -->