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results – AI Model by bakch92 | AlphaNeural AI
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transformers
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
autotrain_compatible
endpoints_compatible
us
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Model card
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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: 0.7489
Accuracy: 0.845
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: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
417
0.4912
0.843
0.5273
2.0
834
0.5912
0.819
0.2796
3.0
1251
0.5553
0.828
0.1615
4.0
1668
0.7700
0.824
0.0832
5.0
2085
0.8004
0.834
Framework versions
Transformers 4.44.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
