whisper_4_with_init_sun_syl_wd_0__0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_4_with_init_sun_syl_wd_0__0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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whisper_4_with_init_sun_syl_wd_0__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: 4.6282
Train Accuracy: 0.0118
Train Wermet: 0.8286
Train Wermet Syl: 0.7805
Validation Loss: 3.8738
Validation Accuracy: 0.0114
Validation Wermet: 0.9433
Validation Wermet Syl: 0.9119
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}
training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Train Wermet Syl	Validation Loss	Validation Accuracy	Validation Wermet	Validation Wermet Syl	Epoch
5.3409	0.0111	1.3547	1.2898	3.9789	0.0114	0.9710	0.9563	0
4.7143	0.0116	0.8622	0.8228	3.9404	0.0113	0.9823	0.9735	1
4.6752	0.0117	0.8472	0.8057	3.9081	0.0114	0.9579	0.9359	2
4.6500	0.0117	0.8382	0.7945	3.8820	0.0115	0.9213	0.8856	3
4.6282	0.0118	0.8286	0.7805	3.8738	0.0114	0.9433	0.9119	4

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3