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results – AI Model by yeongcheol | AlphaNeural AI
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tensorboard
safetensors
roberta
generated_from_trainer
klue/roberta-base
finetune
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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: 0.4766
Accuracy: 0.859
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5496
1.0
1250
0.4955
0.862
Framework versions
Transformers 4.40.1
Pytorch 2.5.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
