Raydox11-whisper-small
This model is a fine-tuned version of openai/whisper-small on the fsicoli/common_voice_18_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.7598
- Wer: 85.3933
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 700
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0003 | 83.3333 | 700 | 1.7598 | 85.3933 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Raydox10/Raydox11-whisper-small
Base model
openai/whisper-smallDataset used to train Raydox10/Raydox11-whisper-small
Evaluation results
- Wer on fsicoli/common_voice_18_0self-reported85.393