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multiplechoice_robertabase02_hallym – AI Model by againeureka | AlphaNeural AI
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againeureka
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multiplechoice_robertabase02_hallym
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transformers
pytorch
tensorboard
roberta
multiple-choice
generated_from_trainer
endpoints_compatible
us
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multiplechoice_robertabase02_hallym
This model is a fine-tuned version of
againeureka/klue_roberta_base_retrained
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2446
Accuracy: 0.9503
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5381
1.0
723
0.2212
0.9317
0.2127
2.0
1446
0.2580
0.9286
0.0329
3.0
2169
0.2446
0.9503
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3
