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results – AI Model by hyerim0201 | AlphaNeural AI
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hyerim0201
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results
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
text-embeddings-inference
endpoints_compatible
us
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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: 0.7542
Accuracy: 0.8464
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: 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
Accuracy
0.6552
1.0
1313
0.5855
0.8471
0.424
2.0
2626
0.6961
0.8486
0.2468
3.0
3939
0.6937
0.8629
Framework versions
Transformers 4.50.0
Pytorch 2.9.1+cu128
Datasets 3.5.0
Tokenizers 0.21.4
