nick_asr_v2 – AI Model by ntoldalagi | AlphaNeural AI

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ntoldalagi/
nick_asr_v2

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automatic-speech-recognition

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nick_asr_v2

This model is a fine-tuned version of ntoldalagi/nick_asr_v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4562
Wer: 0.6422
Cer: 0.2409

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:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Validation Loss	Wer
0.2616	0.44	300	0.2905	1.2200	0.7496
0.441	0.87	600	0.2866	1.1936	0.7385
0.4366	1.31	900	0.2795	1.1584	0.7274
0.3982	1.75	1200	0.2808	1.2033	0.7274
0.3891	2.18	1500	0.2753	1.2044	0.7166
0.3508	2.91	2000	1.2382	0.7220	0.2743
0.2783	4.37	3000	1.3327	0.7177	0.2705
0.2495	5.82	4000	1.2286	0.6749	0.2638
0.1982	7.28	5000	1.3073	0.6721	0.2585
0.1717	8.73	6000	1.2941	0.6627	0.2500
0.1508	10.19	7000	1.3625	0.6584	0.2490
0.1329	11.64	8000	1.3863	0.6584	0.2474
0.1303	13.1	9000	1.3714	0.6534	0.2449
0.1159	14.56	10000	1.4043	0.6473	0.2442
0.1015	16.01	11000	1.4245	0.6498	0.2419
0.098	17.47	12000	1.4410	0.6440	0.2425
0.0869	18.92	13000	1.4562	0.6422	0.2409

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.12.1