Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1456
- eval_cer: 0.0426
- eval_runtime: 2429.755
- eval_samples_per_second: 3.947
- eval_steps_per_second: 0.049
- step: 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: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 0
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.13.3
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