asr_wav2vec2_1.2 – AI Model by Myriam123 | AlphaNeural AI

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Myriam123/
asr_wav2vec2_1.2

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automatic-speech-recognition

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endpoints_compatible

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asr_wav2vec2_1.2

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1615
Wer: 0.0789
Cer: 0.0277

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.1762	0.16	500	0.2599	0.1323	0.0453
0.1964	0.32	1000	0.2542	0.1339	0.0481
0.1971	0.48	1500	0.2245	0.1192	0.0414
0.1662	0.64	2000	0.2145	0.1223	0.0431
0.159	0.8	2500	0.2100	0.1127	0.0400
0.1455	0.96	3000	0.1964	0.1034	0.0360
0.1154	1.12	3500	0.2043	0.1044	0.0365
0.11	1.28	4000	0.1907	0.0970	0.0343
0.1002	1.44	4500	0.1884	0.0924	0.0321
0.0826	1.6	5000	0.1728	0.0871	0.0304
0.0771	1.76	5500	0.1641	0.0814	0.0288
0.0772	1.92	6000	0.1615	0.0789	0.0277

Framework versions

Transformers 4.38.1
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2