---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-bn-09092023
  results: []
---

<!-- 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-bn-09092023

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: 0.0498
- Wer: 7.7181

## 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: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2500
- training_steps: 8000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4968        | 0.16  | 400  | 0.3922          | 44.0283 |
| 0.2059        | 0.32  | 800  | 0.1848          | 27.1190 |
| 0.1486        | 0.48  | 1200 | 0.1359          | 20.7105 |
| 0.1203        | 0.64  | 1600 | 0.1094          | 16.8171 |
| 0.1032        | 0.79  | 2000 | 0.0938          | 14.5648 |
| 0.0912        | 0.95  | 2400 | 0.0816          | 12.6067 |
| 0.0778        | 1.11  | 2800 | 0.0749          | 11.5556 |
| 0.0717        | 1.27  | 3200 | 0.0686          | 10.8017 |
| 0.0676        | 1.43  | 3600 | 0.0639          | 9.7786  |
| 0.0641        | 1.59  | 4000 | 0.0607          | 9.4620  |
| 0.0622        | 1.75  | 4400 | 0.0588          | 9.2326  |
| 0.0597        | 1.91  | 4800 | 0.0561          | 8.8085  |
| 0.0498        | 2.07  | 5200 | 0.0546          | 8.3926  |
| 0.0493        | 2.23  | 5600 | 0.0539          | 8.3443  |
| 0.0483        | 2.38  | 6000 | 0.0525          | 8.1459  |
| 0.0478        | 2.54  | 6400 | 0.0518          | 8.0740  |
| 0.0472        | 2.7   | 6800 | 0.0510          | 7.9834  |
| 0.0463        | 2.86  | 7200 | 0.0502          | 7.7784  |
| 0.0439        | 3.02  | 7600 | 0.0499          | 7.7532  |
| 0.0407        | 3.18  | 8000 | 0.0498          | 7.7181  |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3