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mcamara/
whisper-tiny-minds-en

Name: whisper-tiny-minds-en
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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whisper-tiny-minds-en

This model is a fine-tuned version of ihanif/whisper-tiny-minds-en on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 3.2762
Wer Ortho: 0.9025
Wer: 0.8878

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
2.8469	0.04	1	3.2762	0.9025	0.8878
2.2255	0.07	2	3.2762	0.9025	0.8878

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

mcamara/whisper-tiny-minds-en

whisper-tiny-minds-en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mcamara/
whisper-tiny-minds-en