|
---
|
|
library_name: transformers
|
|
language:
|
|
- hi
|
|
license: apache-2.0
|
|
base_model: openai/whisper-small
|
|
tags:
|
|
- generated_from_trainer
|
|
datasets:
|
|
- mozilla-foundation/common_voice_11_0
|
|
metrics:
|
|
- wer
|
|
model-index:
|
|
- name: Whisper Small Hi - Sanchit Gandhi
|
|
results:
|
|
- task:
|
|
name: Automatic Speech Recognition
|
|
type: automatic-speech-recognition
|
|
dataset:
|
|
name: Common Voice 11.0
|
|
type: mozilla-foundation/common_voice_11_0
|
|
config: hi
|
|
split: test
|
|
args: 'config: hi, split: test'
|
|
metrics:
|
|
- name: Wer
|
|
type: wer
|
|
value: 32.59121307034623
|
|
---
|
|
|
|
<!-- 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: 0.4399
|
|
- Wer: 32.5912
|
|
|
|
## 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: 8
|
|
- seed: 42
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
- lr_scheduler_type: linear
|
|
- lr_scheduler_warmup_steps: 500
|
|
- training_steps: 4000
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
|
|:-------------:|:------:|:----:|:---------------:|:-------:|
|
|
| 0.0917 | 2.4450 | 1000 | 0.2981 | 35.0419 |
|
|
| 0.0221 | 4.8900 | 2000 | 0.3542 | 33.3277 |
|
|
| 0.0012 | 7.3350 | 3000 | 0.4180 | 32.4854 |
|
|
| 0.0004 | 9.7800 | 4000 | 0.4399 | 32.5912 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.48.0.dev0
|
|
- Pytorch 2.5.1+cu124
|
|
- Datasets 3.2.0
|
|
- Tokenizers 0.21.0
|
|
|
