Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
platzi-distilroberta-base-mrpc-glue-miguel-uicab – AI Model by platzi | AlphaNeural AI
You can deploy this model and start earning money today!
platzi
/
platzi-distilroberta-base-mrpc-glue-miguel-uicab
like
0
transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
platzi-distilroberta-base-mrpc-glue-miguel-uicab
This model is a fine-tuned version of
distilroberta-base
on the glue and the mrpc datasets. It achieves the following results on the evaluation set:
Loss: 0.6276
Accuracy: 0.8039
F1: 0.8649
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
0.5096
1.09
500
0.6276
0.8039
0.8649
0.3267
2.18
1000
0.7474
0.8260
0.8711
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
