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roberta-keti-air-korquad – AI Model by chunwoolee0 | AlphaNeural AI
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chunwoolee0
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roberta-keti-air-korquad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
korquad
klue/roberta-base
finetune
endpoints_compatible
us
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roberta-keti-air-korquad
This model is a fine-tuned version of
klue/roberta-base
on the korquad dataset. It achieves the following results on the evaluation set:
Loss: 0.6731
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: 8
eval_batch_size: 8
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
0.5572
1.0
2000
0.5212
0.3247
2.0
4000
0.5645
0.1786
3.0
6000
0.6731
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
