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bigmorning/
whisper_syl_noforce_add_inpde__0015

Name: whisper_syl_noforce_add_inpde__0015
Availability: InStock

transformers

whisper

automatic-speech-recognition

generated_from_keras_callback

bigmorning/whisper_syl_noforce__0060

finetune

apache-2.0

endpoints_compatible

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whisper_syl_noforce_add_inpde__0015

This model is a fine-tuned version of bigmorning/whisper_syl_noforce__0060 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.4618
Train Accuracy: 0.0319
Train Wermet: 0.1102
Validation Loss: 1.0659
Validation Accuracy: 0.0212
Validation Wermet: 0.2974
Epoch: 14

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
3.0144	0.0185	0.9684	1.4362	0.0191	0.3870	0
1.6269	0.0241	0.2797	1.2846	0.0197	0.3593	1
1.3645	0.0256	0.2469	1.1967	0.0201	0.3481	2
1.2336	0.0263	0.2264	1.1602	0.0204	0.3390	3
1.0973	0.0272	0.2091	1.1211	0.0206	0.3296	4
0.9914	0.0279	0.1941	1.1412	0.0204	0.3209	5
0.9050	0.0284	0.1819	1.1795	0.0204	0.3281	6
0.8192	0.0291	0.1695	1.0845	0.0209	0.3149	7
0.7806	0.0293	0.1608	1.0628	0.0210	0.3099	8
0.7143	0.0298	0.1511	1.0554	0.0211	0.3069	9
0.6672	0.0302	0.1431	1.0539	0.0211	0.3046	10
0.6228	0.0305	0.1338	1.0531	0.0211	0.3038	11
0.5558	0.0311	0.1253	1.0476	0.0212	0.2997	12
0.5273	0.0314	0.1186	1.0431	0.0212	0.2991	13
0.4618	0.0319	0.1102	1.0659	0.0212	0.2974	14

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3

bigmorning/whisper_syl_noforce_add_inpde__0015

whisper_syl_noforce_add_inpde__0015

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
whisper_syl_noforce_add_inpde__0015