whisper_4_with_init_sun_syl_wd_0_lr_en2_0005 – AI Model by bigmorning | AlphaNeural AI

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bigmorning/
whisper_4_with_init_sun_syl_wd_0_lr_en2_0005

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automatic-speech-recognition

generated_from_keras_callback

openai/whisper-tiny

endpoints_compatible

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whisper_4_with_init_sun_syl_wd_0_lr_en2_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: 4.9546
Train Accuracy: 0.0111
Train Wermet: 4.8506
Train Wermet Syl: 3.7351
Validation Loss: 4.3022
Validation Accuracy: 0.0112
Validation Wermet: 0.9870
Validation Wermet Syl: 0.9854
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': 0.01, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
training_precision: float32

Training results

Train Loss	Train Accuracy	Train Wermet	Train Wermet Syl	Validation Loss	Validation Accuracy	Validation Wermet	Validation Wermet Syl	Epoch
39.6121	0.0057	33.2649	25.5768	4.5339	0.0113	0.9851	0.9843	0
5.3698	0.0107	12.0116	9.0545	4.3408	0.0112	0.9919	0.9915	1
5.1979	0.0109	9.4008	7.1909	4.2108	0.0113	0.9851	0.9843	2
5.0669	0.0110	7.0382	5.3339	4.1662	0.0113	0.9851	0.9843	3
4.9546	0.0111	4.8506	3.7351	4.3022	0.0112	0.9870	0.9854	4

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3