whisper_syl_noforce__0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_syl_noforce__0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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whisper_syl_noforce__0005

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 4.0072
Train Accuracy: 0.0140
Train Wermet: 0.8260
Validation Loss: 3.3268
Validation Accuracy: 0.0131
Validation Wermet: 0.8816
Epoch: 4

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
5.2961	0.0113	1.9043	3.9402	0.0116	0.9526	0
4.6207	0.0121	0.8740	3.7957	0.0120	0.9397	1
4.4142	0.0128	0.8473	3.6045	0.0124	0.8988	2
4.1915	0.0135	0.8361	3.4445	0.0128	0.9019	3
4.0072	0.0140	0.8260	3.3268	0.0131	0.8816	4

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3