metadata

license: mit
base_model: roberta-base
datasets: climate_fever
tags:
  - fact-checking
  - climate
  - text entailment
metrics:
  - accuracy
  - f1
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of roberta-base on Jasontth/climate_fever_plus, enlarged CLIMATE-FEVER dataset (The dataset provided combines the Climate-Fever dataset and claim reviews from the website Climate Feedback (https://climatefeedback.org/)) It achieves the following results on the evaluation set:

Loss: 0.6970
Accuracy: 0.7288
F1: 0.7229

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0