whisper-tiny-finetuned
This model is a fine-tuned version of openai/whisper-tiny on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- eval_loss: 5.3177
- eval_wer: 83.6538
- eval_runtime: 3.5664
- eval_samples_per_second: 2.804
- eval_steps_per_second: 0.841
- epoch: 3.07
- step: 10
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- training_steps: 15
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.39.2
- Pytorch 2.4.0
- Datasets 2.19.2
- Tokenizers 0.15.2
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Model tree for KevinKibe/whisper-tiny-finetuned
Base model
openai/whisper-tiny