|
---
|
|
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 - Sanchit Gandhi
|
|
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: 32.011343435198505
|
|
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 - Sanchit Gandhi
|
|
|
|
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: 32.0113
|
|
|
|
## 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: 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 | 32.5912 |
|
|
| 0.0006 | 9.78 | 4000 | 0.4519 | 32.0113 |
|
|
| 0.0002 | 12.22 | 5000 | 0.4679 | 32.0960 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.25.0.dev0
|
|
- Pytorch 1.12.1
|
|
- Datasets 2.5.3.dev0
|
|
- Tokenizers 0.12.1
|
|
|
