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daeunn/
wav2vec2-korean-finetuned2

Name: wav2vec2-korean-finetuned2
Availability: InStock

pytorch

wav2vec2

generated_from_trainer

kresnik/wav2vec2-large-xlsr-korean

finetune

apache-2.0

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wav2vec2-korean-finetuned2

This model is a fine-tuned version of kresnik/wav2vec2-large-xlsr-korean on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2628

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.9378	0.18	500	0.6153
0.7016	0.36	1000	0.4537
0.7075	0.55	1500	0.4040
0.5982	0.73	2000	0.3704
0.5354	0.91	2500	0.3453
0.4852	1.09	3000	0.3338
0.4603	1.27	3500	0.3181
0.4497	1.46	4000	0.3042
0.4489	1.64	4500	0.2928
0.441	1.82	5000	0.2839
0.4193	2.0	5500	0.2780
0.3736	2.18	6000	0.2785
0.3607	2.37	6500	0.2729
0.3529	2.55	7000	0.2685
0.365	2.73	7500	0.2644
0.3703	2.91	8000	0.2628

Framework versions

Transformers 4.33.2
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.13.3

daeunn/wav2vec2-korean-finetuned2

wav2vec2-korean-finetuned2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

daeunn/
wav2vec2-korean-finetuned2