Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
transfer-course-distilroberta-base-mrpc-glue-nestor-mamani – AI Model by platzi | AlphaNeural AI
You can deploy this model and start earning money today!
platzi
/
transfer-course-distilroberta-base-mrpc-glue-nestor-mamani
like
0
transformers
pytorch
roberta
text-classification
generated_from_trainer
glue
distilbert/distilroberta-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
transfer-course-distilroberta-base-mrpc-glue-nestor-mamani
This model is a fine-tuned version of
distilroberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.4601
Accuracy: 0.8358
F1: 0.8859
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: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.315
2.17
500
0.4601
0.8358
0.8859
Framework versions
Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.14.5
Tokenizers 0.14.1
