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azuur/wav2vec2-base-gn-demo

sourceHugging Faceapache-2.0updated 5y agoView on Hugging Face

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wav2vec2-base-gn-demo

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

—Loss: 0.7426
—Wer: 0.7256

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: 2e-05
—trainbatchsize: 16
—evalbatchsize: 8
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: cosinewithrestarts
—lrschedulerwarmup_steps: 50
—num_epochs: 60
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	4.0	100	0.7045	0.7409
No log	8.0	200	0.7200	0.75
No log	12.0	300	0.7400	0.7439
No log	16.0	400	0.7677	0.7515
0.0846	20.0	500	0.7765	0.7271
0.0846	24.0	600	0.7821	0.7287
0.0846	28.0	700	0.7671	0.7180
0.0846	32.0	800	0.7594	0.7180
0.0846	36.0	900	0.7500	0.7165
0.0713	40.0	1000	0.7351	0.7287
0.0713	44.0	1100	0.7361	0.7241
0.0713	48.0	1200	0.7389	0.7378
0.0713	52.0	1300	0.7424	0.7210
0.0713	56.0	1400	0.7425	0.7256
0.0669	60.0	1500	0.7426	0.7256

Framework versions

—Transformers 4.11.3
—Pytorch 1.10.2+cu102
—Datasets 1.18.3
—Tokenizers 0.10.3