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results – AI Model by syim01 | AlphaNeural AI
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syim01
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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: 0.6256
Accuracy: 0.856
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6176
1.0
1250
0.6833
0.814
0.3958
2.0
2500
0.6566
0.84
0.2513
3.0
3750
0.7118
0.848
Framework versions
Transformers 4.40.1
Pytorch 2.5.1+cu118
Datasets 2.19.0
Tokenizers 0.19.1
