---
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny.en
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- eai6/bungoma_training
metrics:
- wer
model-index:
- name: Whisper tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Nyansapo AI Dataset
      type: eai6/bungoma_training
      args: 'config: en, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 379.5513373597929
---

<!-- 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

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Nyansapo AI Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4549
- Wer: 379.5513

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.2224        | 1.38  | 250  | 0.6100          | 153.0630 |
| 0.545         | 2.76  | 500  | 0.0995          | 662.3814 |
| 0.2906        | 4.14  | 750  | 0.0822          | 650.7334 |
| 0.2063        | 5.52  | 1000 | 0.4549          | 379.5513 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2