whisper_train_on_validated_cv_model__0005 – AI Model by bigmorning | AlphaNeural AI

You can deploy this model and start earning money today!

bigmorning/
whisper_train_on_validated_cv_model__0005

like

0

automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

Views

No views yet

whisper_train_on_validated_cv_model__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: 0.7076
Train Accuracy: 0.0654
Train Wermet: 4.9157
Validation Loss: 0.7312
Validation Accuracy: 0.0627
Validation Wermet: 4.2416
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': 2e-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
2.2992	0.0331	6.3187	1.9677	0.0372	7.2782	0
1.7447	0.0431	5.6345	1.7865	0.0408	6.3969	1
1.5036	0.0480	5.6512	1.4821	0.0468	5.1810	2
1.0955	0.0567	4.4606	1.0492	0.0557	3.7886	3
0.7076	0.0654	4.9157	0.7312	0.0627	4.2416	4

Framework versions

Transformers 4.32.0.dev0
TensorFlow 2.12.0
Tokenizers 0.13.3