Whisper Small Hi - KKR Nareddy
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2939
- eval_wer: 34.3373
- eval_runtime: 1018.7685
- eval_samples_per_second: 3.096
- eval_steps_per_second: 0.388
- epoch: 2.2472
- step: 1000
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: 8
- 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
- training_steps: 5000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.47.1
- Pytorch 2.4.1+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for kartheekkumar65/whisper-small-hi
Base model
openai/whisper-small