metadata

language:
  - bn
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
  - bengali
  - asr
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: Whisper Bangla
    results: []
library_name: transformers
pipeline_tag: automatic-speech-recognition

Whisper Bangla

This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset.

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: 40
eval_batch_size: 40
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 1

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1