language: | |
- bn | |
license: apache-2.0 | |
tags: | |
- whisper-event | |
- generated_from_trainer | |
datasets: | |
- mozilla-foundation/common_voice_11_0 | |
metrics: | |
- wer | |
base_model: openai/whisper-small | |
model-index: | |
- name: Whisper Small Bengali | |
results: | |
- task: | |
type: automatic-speech-recognition | |
name: Automatic Speech Recognition | |
dataset: | |
name: mozilla-foundation/common_voice_11_0 bn | |
type: mozilla-foundation/common_voice_11_0 | |
config: bn | |
split: test | |
args: bn | |
metrics: | |
- type: wer | |
value: 18.22 | |
name: Wer | |
<!-- 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 Bengali | |
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 bn dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.1638 | |
- Wer: 18.22 |