BANG please be the final one (EN)
This model is a fine-tuned version of openai/whisper-large-v3 on the Radio-Modified Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0395
- Wer: 8.8210
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: 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 |
|---|---|---|---|---|
| 0.1511 | 0.25 | 1000 | 0.1318 | 20.4937 |
| 0.0685 | 1.2443 | 2000 | 0.0845 | 12.3199 |
| 0.0378 | 2.2385 | 3000 | 0.0557 | 10.4397 |
| 0.0283 | 3.2328 | 4000 | 0.0395 | 8.8210 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for michaelszhu/whisper-small-finetuned-radio-ASR-2
Base model
openai/whisper-large-v3Dataset used to train michaelszhu/whisper-small-finetuned-radio-ASR-2
Evaluation results
- Wer on Radio-Modified Common Voice 11.0test set self-reported8.821