metadata
library_name: peft
language:
- ug
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small ug - binbin123
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: Common Voice 11.0
type: mozilla-foundation/common_voice_11_0
config: ug
split: test
args: 'config: zh, split: test'
metrics:
- type: wer
value: 56.2793021289678
name: Wer
Whisper Small ug - binbin123
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3845
- Wer Ortho: 60.7551
- Wer: 56.2793
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: 2e-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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.272 | 1.9608 | 500 | 0.3845 | 60.7551 | 56.2793 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 1.12.0
- Datasets 3.0.2
- Tokenizers 0.20.1