whisper_wermet_nosup_0005 – AI Model by bigmorning | AlphaNeural AI

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whisper_wermet_nosup_0005

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automatic-speech-recognition

generated_from_keras_callback

endpoints_compatible

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whisper_wermet_nosup_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: 1.5621
Train Accuracy: 0.0250
Train Wermet: 9.7248
Validation Loss: 1.2443
Validation Accuracy: 0.0273
Validation Wermet: 5.4731
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
5.0729	0.0113	42.1824	4.4421	0.0120	27.3059	0
4.3249	0.0126	23.9224	4.0443	0.0141	18.2054	1
3.8845	0.0144	12.7780	3.4577	0.0169	10.3356	2
2.7411	0.0198	15.0018	1.8774	0.0244	14.5666	3
1.5621	0.0250	9.7248	1.2443	0.0273	5.4731	4

Framework versions

Transformers 4.27.0.dev0
TensorFlow 2.11.0
Datasets 2.10.0
Tokenizers 0.13.2