Whisper Small PS - Hanif Rahman
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5956
- eval_wer_ortho: 42.8448
- eval_wer: 42.2319
- eval_runtime: 629.7256
- eval_samples_per_second: 1.158
- eval_steps_per_second: 0.073
- epoch: 2.7211
- step: 1200
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-06
- 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: 200
- training_steps: 2000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for ihanif/whisper-turbo
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo