twitter-roberta-base-sentiment-latest-trump-stance

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3134
• Accuracy: {'accuracy': 0.87875}

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: 0.001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5486	1.0	1800	0.5270	{'accuracy': 0.79375}
0.4626	2.0	3600	0.4231	{'accuracy': 0.85375}
0.4216	3.0	5400	0.3134	{'accuracy': 0.87875}

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2