metadata
language:
- be
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Tiny Belarusian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_11_0 be
type: mozilla-foundation/common_voice_11_0
config: be
split: validation
args: be
metrics:
- name: Wer
type: wer
value: 60.07326007326007
Whisper Tiny Belarusian
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_11_0 be dataset. It achieves the following results on the evaluation set:
- Loss: 0.6389
- Wer: 60.0733
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.5622 | 0.1 | 10 | 1.5402 | 94.5055 |
| 1.3719 | 0.2 | 20 | 1.0012 | 75.2747 |
| 0.9898 | 0.3 | 30 | 0.8217 | 72.7106 |
| 0.9742 | 0.4 | 40 | 0.7924 | 72.5275 |
| 0.6951 | 0.5 | 50 | 0.7628 | 76.1905 |
| 0.7824 | 0.6 | 60 | 0.6738 | 65.3846 |
| 0.6818 | 0.7 | 70 | 0.6389 | 60.0733 |
| 0.7823 | 0.8 | 80 | 0.6208 | 65.7509 |
| 0.5994 | 0.9 | 90 | 0.5901 | 61.9048 |
| 0.6647 | 1.0 | 100 | 0.5790 | 61.7216 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2