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fodmrldg/
klue-mrc_koelectra_qa_model

Name: klue-mrc_koelectra_qa_model
Rating: 2.5 (6 reviews)

generated_from_trainer

monologg/koelectra-small-discriminator

finetune

endpoints_compatible

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klue-mrc_koelectra_qa_model

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: 5.6164

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	50	5.7912
No log	2.0	100	5.6660
No log	3.0	150	5.6164

Framework versions

Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4

fodmrldg/klue-mrc_koelectra_qa_model

klue-mrc_koelectra_qa_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fodmrldg/
klue-mrc_koelectra_qa_model