Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base-klue-ynat-classification2 – AI Model by siik | AlphaNeural AI
You can deploy this model and start earning money today!
siik
/
roberta-base-klue-ynat-classification2
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
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: 0.2350
Accuracy: 0.928
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4123
1.0
1250
0.2217
0.942
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
