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4m1g0/wav2vec2-large-xls-r-300m-gl-jupyter4

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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wav2vec2-large-xls-r-300m-gl-jupyter4

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.0970
—Wer: 0.0636

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: 0.0003
—trainbatchsize: 16
—evalbatchsize: 8
—seed: 42
—gradientaccumulationsteps: 2
—totaltrainbatch_size: 32
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_steps: 500
—num_epochs: 45
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.492	3.36	400	0.3109	0.3158
0.194	6.72	800	0.1279	0.1454
0.0794	10.08	1200	0.1210	0.1240
0.0565	13.44	1600	0.1209	0.1150
0.041	16.8	2000	0.1186	0.1107
0.0343	20.17	2400	0.1143	0.0933
0.0283	23.53	2800	0.1067	0.0900
0.0231	26.89	3200	0.1076	0.0812
0.0176	30.25	3600	0.1094	0.0780
0.0169	33.61	4000	0.1041	0.0766
0.0138	36.97	4400	0.1012	0.0711
0.0109	40.33	4800	0.0985	0.0655
0.0099	43.69	5200	0.0970	0.0636

Framework versions

—Transformers 4.11.3
—Pytorch 1.9.1+cu111
—Datasets 1.18.3
—Tokenizers 0.10.3