Update README.md

README.md

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-# results
-
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on Jasontth/climate_fever_plus (https://huggingface.co/datasets/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/)
 
 For detail, please read [this paper](https://jasontth.github.io/researches/research7.html)
 
+# results
+
 It achieves the following results on the test 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