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whisper_nosp_0005 – AI Model by bigmorning | AlphaNeural AI
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bigmorning
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whisper_nosp_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_nosp_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: 1.9349
Train Accuracy: 0.0157
Validation Loss: 1.6630
Validation Accuracy: 0.0172
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
7.5559
0.0010
6.3853
0.0013
0
6.3227
0.0021
5.7023
0.0038
1
4.9825
0.0063
3.6302
0.0109
2
2.9413
0.0126
2.1959
0.0154
3
1.9349
0.0157
1.6630
0.0172
4
Framework versions
Transformers 4.25.0.dev0
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.2
