wav2vec2-large-xls-r-korean – AI Model by tlsalfm820 | AlphaNeural AI

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tlsalfm820/
wav2vec2-large-xls-r-korean

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-300m

endpoints_compatible

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wav2vec2-large-xls-r-korean

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: 0.5006
Cer: 0.1178

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
lr_scheduler_warmup_steps: 1000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
3.3321	1.11	300	3.8704	1.0
1.6999	2.22	600	1.8098	0.3638
0.6728	3.33	900	0.7710	0.1967
0.4398	4.44	1200	0.5838	0.1568
0.3202	5.56	1500	0.5421	0.1468
0.2286	6.67	1800	0.4912	0.1312
0.161	7.78	2100	0.4931	0.1247
0.1436	8.89	2400	0.4953	0.1211
0.1213	10.0	2700	0.5006	0.1178

Framework versions

Transformers 4.33.2
Pytorch 1.12.1+cu113
Datasets 2.14.5
Tokenizers 0.13.3