|
--- |
|
datasets: |
|
- nyu-mll/glue |
|
language: |
|
- en |
|
base_model: |
|
- google-bert/bert-base-uncased |
|
pipeline_tag: text-classification |
|
tags: |
|
- generated_from_trainer |
|
license: apache-2.0 |
|
metrics: |
|
- accuracy |
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert-base-uncased-finetuned-stsb |
|
|
|
[Source Code](https://github.com/huggingface/notebooks/blob/main/examples/text_classification.ipynb) |
|
|
|
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an GLUE. |
|
|
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
- GLUE: https://huggingface.co/datasets/nyu-mll/glue |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
More information needed |
|
|
|
### Training results |
|
|
|
More information needed |
|
|
|
### Framework versions |
|
|
|
More information needed |
