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sungkwan2/
koelectra_ko_swag_model

Name: koelectra_ko_swag_model
Availability: InStock

generated_from_trainer

monologg/koelectra-base-discriminator

finetune

apache-2.0

endpoints_compatible

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koelectra_ko_swag_model

This model is a fine-tuned version of monologg/koelectra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2377
Accuracy: 0.6

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	7	1.4520	0.5333
No log	2.0	14	2.1688	0.5333
No log	3.0	21	2.0073	0.5333
No log	4.0	28	1.7407	0.5667
No log	5.0	35	1.9195	0.5333
No log	6.0	42	2.0526	0.6
No log	7.0	49	2.1585	0.6
No log	8.0	56	2.2109	0.6
No log	9.0	63	2.2324	0.6
No log	10.0	70	2.2377	0.6

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

sungkwan2/koelectra_ko_swag_model

koelectra_ko_swag_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sungkwan2/
koelectra_ko_swag_model