---
tags:
- generated_from_trainer
model-index:
- name: roberta-small-fever
  results: []
datasets:
- copenlu/fever_gold_evidence
---

<!-- 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-small-fever

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6096
- eval_p: 0.8179
- eval_r: 0.8110
- eval_f1: 0.8104
- eval_runtime: 36.258
- eval_samples_per_second: 518.644
- eval_steps_per_second: 64.841
- step: 0

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4

### Framework versions

- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.12.1