---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: roberta-base-finetuned-mnli-mm
  results: []
---

<!-- 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-mm

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:
- eval_loss: 0.4062
- eval_accuracy: 0.8457
- eval_runtime: 33.2523
- eval_samples_per_second: 295.679
- eval_steps_per_second: 4.631
- epoch: 1.0
- step: 12272

## 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: 3.0719015844102515e-06
- train_batch_size: 32
- eval_batch_size: 64
- seed: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.16.2
- Pytorch 2.1.0+cu121
- Datasets 1.16.1
- Tokenizers 0.15.2