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HyeonSuJJang5/
koelectra-small-clue-mrc

Name: koelectra-small-clue-mrc
Availability: InStock

generated_from_trainer

monologg/koelectra-small-discriminator

finetune

endpoints_compatible

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koelectra-small-clue-mrc

This model is a fine-tuned version of monologg/koelectra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.2902

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: 2e-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: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	10	5.8496
No log	2.0	20	5.8053
No log	3.0	30	5.7614
No log	4.0	40	5.7162
No log	5.0	50	5.6720
No log	6.0	60	5.6287
No log	7.0	70	5.5849
No log	8.0	80	5.5441
No log	9.0	90	5.5040
No log	10.0	100	5.4670
No log	11.0	110	5.4318
No log	12.0	120	5.4014
No log	13.0	130	5.3763
No log	14.0	140	5.3539
No log	15.0	150	5.3347
No log	16.0	160	5.3193
No log	17.0	170	5.3066
No log	18.0	180	5.2975
No log	19.0	190	5.2920
No log	20.0	200	5.2902

Framework versions

Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2

HyeonSuJJang5/koelectra-small-clue-mrc

koelectra-small-clue-mrc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HyeonSuJJang5/
koelectra-small-clue-mrc