|
--- |
|
language: |
|
- hi |
|
license: apache-2.0 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
base_model: openai/whisper-small |
|
model-index: |
|
- name: Whisper Small Hi - Chanpreet Singh |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
args: 'Config: hi' |
|
metrics: |
|
- type: wer |
|
value: 26.011343435198505 |
|
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 Hi |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4519 |
|
- Wer: 26.0113 |
|
|
|
### 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: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.1011 | 2.44 | 1000 | 0.3075 | 34.6313 | |
|
| 0.0264 | 4.89 | 2000 | 0.3558 | 33.1288 | |
|
| 0.0025 | 7.33 | 3000 | 0.4214 | 30.5912 | |
|
| 0.0006 | 9.78 | 4000 | 0.4519 | 28.0113 | |
|
| 0.0002 | 12.22 | 5000 | 0.4679 | 26.0960 | |
|
|
|
|
