whisper-tiny-minds14-en
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6170
Wer Ortho: 0.3880
Wer: 0.3512
- eval_loss: 0.6170
- eval_wer_ortho: 0.3880
- eval_wer: 0.3512
- eval_runtime: 22.3269
- eval_samples_per_second: 5.061
- eval_steps_per_second: 0.358
- epoch: 8.93
- step: 250
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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