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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matched_accuracy
- missmatched_accuracy
model-index:
- name: roberta-base-finetuned-MNLI
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mnli
metrics:
- name: Matched Accuracy
type: matched_accuracy
value: 0.8780438104941416
- name: Missmatched Accuracy
type: missmatched_accuracy
value: 0.8778478437754271
---
<!-- 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. -->
# roberta-base-finetuned-mnli
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Matched Accuracy: 0.8780
- Missmatched Accuracy: 0.8778
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- weight_decay: 0.01
- num_epochs: 3 |