whisper-non-verbal-new-aug-low-lr
This model is a fine-tuned version of openai/whisper-large-v3-turbo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7053
- Wer: 15.7119
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
No log | 1.0 | 7 | 2.3077 | 17.7815 |
No log | 2.0 | 14 | 1.8102 | 18.6258 |
No log | 3.0 | 21 | 1.0573 | 18.6424 |
1.7315 | 4.0 | 28 | 0.7053 | 15.7119 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
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Model tree for muhtasham/whisper-non-verbal-new-aug-low-lr-elise
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo