Whisper Small Ga 500 - Callum Canavan
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2084
- Wer Ortho: 63.4054
- Wer: 60.0
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0198 | 7.58 | 500 | 1.2084 | 63.4054 | 60.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 29
Model tree for callum-canavan/whisper-small-ga
Base model
openai/whisper-smallDataset used to train callum-canavan/whisper-small-ga
Space using callum-canavan/whisper-small-ga 1
Evaluation results
- Wer on Common Voice 13test set self-reported60.000