whisper-tiny-en-us-minds14
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:
- eval_loss: 0.3247
- eval_wer_ortho: 36.7057
- eval_wer: 36.6588
- eval_runtime: 20.5021
- eval_samples_per_second: 5.512
- eval_steps_per_second: 0.39
- epoch: 107.14
- step: 3000
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: 4000
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for mirodil/whisper-tiny-en-us-minds14
Base model
openai/whisper-tiny