Downloads · 30 days
334
1% of all-time downloads
distilbert-base-uncased-MRPC
textattack/distilbert-base-uncased-MRPC
distilbert-base-uncased-MRPC is a text classification model from textattack. Use it when you need a label for a piece of text. It is set up for transformers.
This distilbert-base-uncased model was fine-tuned for sequence classification using TextAttack and the glue dataset loaded using the nlp library. The model was fine-tuned for 5 epochs with a batch size of 32, a learni…
All-time downloads
29K
Public
Repo size
536 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 6, 2020
- SHA
- aeb733e2
Try a prompt
Model card
From the Hugging Face model README
TextAttack Model Card
This distilbert-base-uncased model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the nlp library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 2e-05, and a maximum sequence length of 256.
Since this was a classification task, the model was trained with a cross-entropy loss function.
The best score the model achieved on this task was 0.8578431372549019, as measured by the
eval set accuracy, found after 1 epoch.
For more information, check out TextAttack on Github.
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Mar 2, 2022
- Updated
- Jul 6, 2020