Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilroberta-base-mrpc-glue-upeu – AI Model by ANGELRC2 | AlphaNeural AI
You can deploy this model and start earning money today!
ANGELRC2
/
distilroberta-base-mrpc-glue-upeu
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilroberta-base-mrpc-glue-upeu
This model is a fine-tuned version of
distilroberta-base
on the nyu-mll/glue dataset. It achieves the following results on the evaluation set:
Loss: 0.7301
Accuracy: 0.8309
F1: 0.8821
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: 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
F1
0.5119
1.0893
500
0.4417
0.8333
0.8824
0.3453
2.1786
1000
0.7301
0.8309
0.8821
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1
