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roberta-base-klue-ynat-classification2 – AI Model by choiwonjin | AlphaNeural AI
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choiwonjin
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roberta-base-klue-ynat-classification2
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tensorboard
safetensors
roberta
generated_from_trainer
klue/roberta-base
finetune
us
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results
This model is a fine-tuned version of
klue/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4481
Accuracy: 0.851
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
313
0.4710
0.835
Framework versions
Transformers 4.44.0
Pytorch 1.13.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
