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lightwsrld/
wav2vec2-large-xlsr-korean-autumn

Name: wav2vec2-large-xlsr-korean-autumn
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

kresnik/wav2vec2-large-xlsr-korean

finetune

apache-2.0

endpoints_compatible

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wav2vec2-large-xlsr-korean-autumn

This model is a fine-tuned version of kresnik/wav2vec2-large-xlsr-korean on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3395
Wer: 0.3167

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
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 45
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.8292	1.0	30	0.9336	0.5213
0.8915	2.0	60	0.5212	0.4365
0.6646	3.0	90	0.4030	0.3758
0.4753	4.0	120	0.3734	0.3588
0.4023	5.0	150	0.3716	0.3595
0.3979	6.0	180	0.3509	0.3386
0.3506	7.0	210	0.3461	0.3348
0.3169	8.0	240	0.3317	0.3331
0.2748	9.0	270	0.3497	0.3305
0.2664	10.0	300	0.3537	0.3341
0.2551	11.0	330	0.3371	0.3235
0.2352	12.0	360	0.3415	0.3201
0.205	13.0	390	0.3347	0.3203
0.2216	14.0	420	0.3425	0.3167
0.2005	15.0	450	0.3395	0.3167

Framework versions

Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1

lightwsrld/wav2vec2-large-xlsr-korean-autumn

wav2vec2-large-xlsr-korean-autumn

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lightwsrld/
wav2vec2-large-xlsr-korean-autumn