đ Whisper Tiny Ru
This is a fine - tuned version of the Whisper Tiny model, designed to enhance speech recognition performance on the Russian language using the Common Voice 14.0 dataset.
đ Quick Start
This model is a fine - tuned version of [openai/whisper - tiny](https://huggingface.co/openai/whisper - tiny) on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4739
- Wer: 188.7957
đ Documentation
Model Description
More information needed
Intended Uses & Limitations
More information needed
Training and Evaluation Data
More information needed
đ§ Technical Details
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: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- 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 |
| 0.464 |
0.61 |
1000 |
0.5444 |
201.0197 |
| 0.3774 |
1.22 |
2000 |
0.5003 |
180.8949 |
| 0.3566 |
1.82 |
3000 |
0.4796 |
195.6722 |
| 0.2962 |
2.43 |
4000 |
0.4739 |
188.7957 |
Framework Versions
- Transformers 4.37.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.1
đ License
This model is licensed under the Apache 2.0 license.
đĻ Information Table
| Property |
Details |
| Model Type |
Fine - tuned version of openai/whisper - tiny |
| Training Data |
mozilla - foundation/common_voice_14_0 |
| Metrics |
wer |
| License |
apache - 2.0 |
đ Model Index
- Name: Whisper Tiny Ru
Results:
- Task:
Name: Automatic Speech Recognition
Type: automatic - speech - recognition
Dataset:
Name: Common Voice 14.0
Type: mozilla - foundation/common_voice_14_0
Config: ru
Split: None
Args: 'config: ru, split: test'
Metrics:
- Name: Wer
Type: wer
Value: 188.79573968349942
â ī¸ Important Note
This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it.
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