whisper_4_with_init_sun_syl_wd_0_lr_7en5_0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_4_with_init_sun_syl_wd_0_lr_7en5_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_lr_7en5_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: 4.0826
Train Accuracy: 0.0133
Train Wermet: 0.7361
Train Wermet Syl: 0.6973
Validation Loss: 2.7406
Validation Accuracy: 0.0139
Validation Wermet: 0.7479
Validation Wermet Syl: 0.7097
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': 7e-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
4.9248	0.0113	1.1777	1.1068	3.9252	0.0115	0.9215	0.8812	0
4.6658	0.0117	0.8497	0.8066	3.9186	0.0113	0.9766	0.9699	1
4.6144	0.0118	0.8224	0.7735	3.8791	0.0115	0.9336	0.9042	2
4.5388	0.0120	0.7917	0.7466	3.6581	0.0120	0.8508	0.8073	3
4.0826	0.0133	0.7361	0.6973	2.7406	0.0139	0.7479	0.7097	4

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3