Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
results – AI Model by Youngtak | AlphaNeural AI
You can deploy this model and start earning money today!
Youngtak
/
results
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
autotrain_compatible
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: 1.1220
Accuracy: 0.469
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 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.2607
1.0
1250
1.1308
0.477
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
