twitter-roberta-base-sentiment-latest-biden-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: 0.2317
• Accuracy: {'accuracy': 0.919375}

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: 5
• eval_batch_size: 5
• 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
0.3777	1.0	2560	0.4193	{'accuracy': 0.894375}
0.2904	2.0	5120	0.2349	{'accuracy': 0.915625}
0.2553	3.0	7680	0.2317	{'accuracy': 0.919375}

Framework versions

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