wav2vec2-large-xls-r-korean-all

tlsalfm820/wav2vec2-large-xls-r-korean-all

wav2vec2-large-xls-r-korean-all is a automatic speech recognition model from tlsalfm820. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Nov 7, 2023
Updated: Nov 7, 2023
SHA: 031aaafd

Base models

facebook/wav2vec2-xls-r-300m

Model card

From the Hugging Face model README

wav2vec2-large-xls-r-korean-all

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: 0.1535
Cer: 0.0329

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
3.0206	0.36	500	3.3589	0.9871
0.6381	0.72	1000	0.6371	0.1714
0.3951	1.08	1500	0.4320	0.125
0.2858	1.44	2000	0.3546	0.1056
0.2545	1.8	2500	0.2925	0.0872
0.1833	2.16	3000	0.2520	0.0743
0.1898	2.51	3500	0.2386	0.0679
0.1981	2.87	4000	0.2135	0.0631
0.123	3.23	4500	0.2129	0.0576
0.1221	3.59	5000	0.2013	0.0543
0.1218	3.95	5500	0.2000	0.0554
0.1096	4.31	6000	0.1884	0.0507
0.1113	4.67	6500	0.1781	0.0455
0.075	5.03	7000	0.1811	0.0458
0.0922	5.39	7500	0.1748	0.0455
0.0766	5.75	8000	0.1807	0.0434
0.0811	6.11	8500	0.1699	0.0411
0.0876	6.47	9000	0.1641	0.0398
0.0913	6.82	9500	0.1632	0.0392
0.0658	7.18	10000	0.1667	0.0388
0.0831	7.54	10500	0.1613	0.0375
0.0716	7.9	11000	0.1552	0.0361
0.0485	8.26	11500	0.1534	0.0351
0.0469	8.62	12000	0.1541	0.0343
0.0503	8.98	12500	0.1497	0.0340
0.041	9.34	13000	0.1535	0.0337
0.0556	9.7	13500	0.1535	0.0329

Framework versions

Transformers 4.33.2
Pytorch 1.12.1+cu113
Datasets 2.14.5
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Nov 7, 2023
Updated: Nov 7, 2023