|
--- |
|
language: |
|
- hi |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_17_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Hindi - Rishabh Mathur |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 17.0 |
|
type: mozilla-foundation/common_voice_17_0 |
|
config: hi |
|
split: test |
|
args: 'config: hi, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 35.90811802476686 |
|
--- |
|
|
|
<!-- 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 - Rishabh Mathur |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3956 |
|
- WER: 35.9081 |
|
|
|
## 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 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 256 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- training_steps: 390 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-------:|:----:|:---------------:|:-------:| |
|
| 0.7731 | 0.9708 | 27 | 0.5895 | 60.3386 | |
|
| 0.4964 | 1.9775 | 55 | 0.4101 | 45.7155 | |
|
| 0.2613 | 2.9843 | 83 | 0.3411 | 40.6360 | |
|
| 0.2032 | 3.9910 | 111 | 0.3155 | 37.3949 | |
|
| 0.1622 | 4.9978 | 139 | 0.3081 | 36.0648 | |
|
| 0.1001 | 5.9685 | 166 | 0.3126 | 35.4418 | |
|
| 0.0826 | 6.9753 | 194 | 0.3265 | 35.4762 | |
|
| 0.0541 | 7.9820 | 222 | 0.3401 | 35.3348 | |
|
| 0.0418 | 8.9888 | 250 | 0.3528 | 35.3921 | |
|
| 0.035 | 9.9955 | 278 | 0.3668 | 35.4380 | |
|
| 0.0245 | 10.9663 | 305 | 0.3783 | 35.6291 | |
|
| 0.0212 | 11.9730 | 333 | 0.3880 | 36.0304 | |
|
| 0.0172 | 12.9798 | 361 | 0.3942 | 35.8240 | |
|
| 0.0159 | 13.9865 | 389 | 0.3956 | 35.9158 | |
|
| 0.0159 | 14.0225 | 390 | 0.3956 | 35.9081 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.4 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
