whisper_char_cv12_pad_lob100_low_sup__0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_char_cv12_pad_lob100_low_sup__0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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whisper_char_cv12_pad_lob100_low_sup__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: 1.5935
Train Accuracy: 0.0604
Train Wermet: 4.8231
Validation Loss: 1.5582
Validation Accuracy: 0.0375
Validation Wermet: 8.5794
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	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
2.5942	0.0399	3.6402	1.9371	0.0319	16.1531	0
1.8766	0.0532	6.8384	1.7437	0.0343	15.0408	1
1.7251	0.0570	5.9150	1.6630	0.0358	10.5002	2
1.6457	0.0591	5.1153	1.5993	0.0369	10.4737	3
1.5935	0.0604	4.8231	1.5582	0.0375	8.5794	4

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3