Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base-finetuned-wnli – AI Model by jinghan | AlphaNeural AI
You can deploy this model and start earning money today!
jinghan
/
roberta-base-finetuned-wnli
like
0
transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-base-finetuned-wnli
This model is a fine-tuned version of
roberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6880
Accuracy: 0.5634
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: 16
eval_batch_size: 16
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
40
0.6880
0.5634
No log
2.0
80
0.6851
0.5634
No log
3.0
120
0.6961
0.4366
No log
4.0
160
0.6906
0.5634
No log
5.0
200
0.6891
0.5634
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
