---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-bn
  results: []
language:
- bn
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-tiny-bn

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4041
- Wer: 100.9994

## 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: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.5443        | 4.67  | 500  | 1.0344          | 180.0125 |
| 0.3201        | 9.35  | 1000 | 0.2322          | 121.4866 |
| 0.0545        | 14.02 | 1500 | 0.2617          | 128.8570 |
| 0.0116        | 18.69 | 2000 | 0.3251          | 95.9400  |
| 0.0031        | 23.36 | 2500 | 0.3768          | 101.7489 |
| 0.0007        | 28.04 | 3000 | 0.3905          | 98.5634  |
| 0.0004        | 32.71 | 3500 | 0.4006          | 101.1868 |
| 0.0003        | 37.38 | 4000 | 0.4041          | 100.9994 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3