Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base-finetuned-enem – AI Model by Angelinis | AlphaNeural AI
You can deploy this model and start earning money today!
Angelinis
/
roberta-base-finetuned-enem
like
0
transformers
tensorboard
safetensors
roberta
multiple-choice
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-base-finetuned-enem
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6094
Accuracy: 0.1924
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: 2
eval_batch_size: 2
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
1.6341
1.0
933
1.6094
0.2090
1.6251
2.0
1866
1.6094
0.2101
1.6289
3.0
2799
1.6094
0.1924
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Tokenizers 0.15.0
