train_from_raw_cv12__0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
train_from_raw_cv12__0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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train_from_raw_cv12__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: nan
Train Accuracy: 0.0032
Train Wermet: 8.3902
Validation Loss: nan
Validation Accuracy: 0.0032
Validation Wermet: 8.3902
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
nan	0.0032	8.3778	nan	0.0032	8.3902	0
nan	0.0032	8.3902	nan	0.0032	8.3902	1
nan	0.0032	8.3902	nan	0.0032	8.3902	2
nan	0.0032	8.3902	nan	0.0032	8.3902	3
nan	0.0032	8.3902	nan	0.0032	8.3902	4

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3