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bigmorning/
whisper_syl_noforce_add_inpde__0025

Name: whisper_syl_noforce_add_inpde__0025
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__0025

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: 0.2658
Train Accuracy: 0.0337
Train Wermet: 0.0941
Validation Loss: 1.0630
Validation Accuracy: 0.0215
Validation Wermet: 0.4054
Epoch: 24

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
0.4438	0.0321	0.1043	1.0439	0.0213	0.3053	15
0.4207	0.0323	0.0994	1.0748	0.0212	0.3049	16
0.4455	0.0321	0.0964	1.0538	0.0213	0.2983	17
0.3952	0.0325	0.0889	1.0487	0.0213	0.3005	18
0.3753	0.0327	0.0858	1.0461	0.0214	0.3115	19
0.3595	0.0328	0.0858	1.0434	0.0214	0.3330	20
0.3394	0.0330	0.0810	1.0479	0.0214	0.3264	21
0.2858	0.0336	0.0820	1.0572	0.0214	0.3297	22
0.2735	0.0337	0.0836	1.0755	0.0214	0.3552	23
0.2658	0.0337	0.0941	1.0630	0.0215	0.4054	24

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3

bigmorning/whisper_syl_noforce_add_inpde__0025

whisper_syl_noforce_add_inpde__0025

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bigmorning/
whisper_syl_noforce_add_inpde__0025