wh_4_sun_syl_w_0_lr_8en5_b32_0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
wh_4_sun_syl_w_0_lr_8en5_b32_0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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wh_4_sun_syl_w_0_lr_8en5_b32_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: 4.6415
Train Accuracy: 0.0117
Train Wermet: 0.8450
Train Wermet Syl: 0.7985
Validation Loss: 3.8828
Validation Accuracy: 0.0115
Validation Wermet: 0.9227
Validation Wermet Syl: 0.8867
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
5.2081	0.0105	1.5151	1.1936	4.0143	0.0113	0.9817	0.9765	0
4.7532	0.0116	0.8756	0.8371	3.9494	0.0114	0.9457	0.9171	1
4.7031	0.0117	0.8615	0.8175	3.9244	0.0114	0.9383	0.8993	2
4.6799	0.0117	0.8569	0.8117	3.9091	0.0114	0.9659	0.9487	3
4.6415	0.0117	0.8450	0.7985	3.8828	0.0115	0.9227	0.8867	4

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3