Whisper Small Dv - Sanchit Gandhi
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:
- eval_loss: 0.2343
- eval_wer_ortho: 55.1013
- eval_wer: 10.2236
- eval_runtime: 4805.6402
- eval_samples_per_second: 0.46
- eval_steps_per_second: 0.029
- epoch: 6.51
- step: 2000
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: 2e-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: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
openai/whisper-small