metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-finetuned-QQP
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: qqp
metrics:
- name: Accuracy
type: accuracy
value: 0.9129854068760821
- name: F1
type: f1
value: 0.8829128669373627
bert-base-uncased-finetuned-qqp
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.9130
- F1: 0.8829
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- weight_decay: 0.01
- num_epochs: 3