whisper-tiny-en – AI Model by benjipeng | AlphaNeural AI

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benjipeng/
whisper-tiny-en

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automatic-speech-recognition

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openai/whisper-tiny

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whisper-tiny-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: 0.7374
Wer Ortho: 0.3488
Wer: 0.3485

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: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0001	17.86	500	0.6973	0.3460	0.3463
0.0	35.71	1000	0.7374	0.3488	0.3485

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.0.1
Datasets 2.14.6
Tokenizers 0.14.1