---
library_name: transformers
language:
- bn
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Medium Bengali
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      config: bn
      split: test
      args: 'config: bn, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 82.03492947159484
---

<!-- 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 Medium Bengali

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0895
- Wer: 82.0349

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 500
- training_steps: 6000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1543        | 0.2618 | 500  | 0.1669          | 48.6957 |
| 0.1152        | 0.5236 | 1000 | 0.1206          | 37.8234 |
| 0.0954        | 0.7853 | 1500 | 0.1000          | 35.2442 |
| 0.0535        | 1.0471 | 2000 | 0.0935          | 36.1322 |
| 0.055         | 1.3089 | 2500 | 0.0878          | 43.8732 |
| 0.0537        | 1.5707 | 3000 | 0.0836          | 55.5653 |
| 0.0564        | 1.8325 | 3500 | 0.0776          | 74.2668 |
| 0.0303        | 2.0942 | 4000 | 0.0819          | 84.9794 |
| 0.0291        | 2.3560 | 4500 | 0.0806          | 56.1679 |
| 0.0331        | 2.6178 | 5000 | 0.0784          | 85.8849 |
| 0.0325        | 2.8796 | 5500 | 0.0802          | 72.0834 |
| 0.0158        | 3.1414 | 6000 | 0.0895          | 82.0349 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1