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whisper_charsplit_new_round2__0002 – AI Model by bigmorning | AlphaNeural AI
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bigmorning
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whisper_charsplit_new_round2__0002
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transformers
tf
whisper
automatic-speech-recognition
generated_from_keras_callback
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper_charsplit_new_round2__0002
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: 0.0013
Train Accuracy: 0.0795
Train Wermet: 8.9468
Validation Loss: 0.5652
Validation Accuracy: 0.0766
Validation Wermet: 8.3360
Epoch: 1
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
0.0010
0.0795
8.7507
0.5575
0.0767
7.6778
0
0.0013
0.0795
8.9468
0.5652
0.0766
8.3360
1
Framework versions
Transformers 4.32.0.dev0
TensorFlow 2.12.0
Tokenizers 0.13.3
