whisper_4_with_init_sun_syl_wd_0_lr_8en5_0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_4_with_init_sun_syl_wd_0_lr_8en5_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_8en5_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: 4.0455
Train Accuracy: 0.0134
Train Wermet: 0.7289
Train Wermet Syl: 0.6945
Validation Loss: 2.6218
Validation Accuracy: 0.0143
Validation Wermet: 0.7096
Validation Wermet Syl: 0.6705
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': 8e-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
4.9173	0.0113	1.2294	1.1313	4.0041	0.0114	0.9465	0.9188	0
4.6657	0.0117	0.8575	0.8170	3.8938	0.0114	0.9522	0.9285	1
4.6204	0.0118	0.8349	0.7915	3.8636	0.0115	0.9356	0.9050	2
4.5401	0.0120	0.7910	0.7460	3.7044	0.0119	0.8709	0.8276	3
4.0455	0.0134	0.7289	0.6945	2.6218	0.0143	0.7096	0.6705	4

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3