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whisper_0005 – AI Model by bigmorning | AlphaNeural AI
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bigmorning
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whisper_0005
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transformers
tf
whisper
automatic-speech-recognition
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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whisper_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: 2.7510
Train Accuracy: 0.0198
Validation Loss: 2.0157
Validation Accuracy: 0.0241
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
Validation Loss
Validation Accuracy
Epoch
5.0856
0.0116
4.4440
0.0123
0
4.3149
0.0131
4.0521
0.0142
1
3.9260
0.0146
3.7264
0.0153
2
3.5418
0.0160
3.3026
0.0174
3
2.7510
0.0198
2.0157
0.0241
4
Framework versions
Transformers 4.25.0.dev0
TensorFlow 2.9.2
Tokenizers 0.13.2
