twitter-roberta-base-dec2021_rbam_fine_tuned

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-dec2021 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8295
• Accuracy: 0.6777
• Precision: 0.6743
• Recall: 0.6777
• F1: 0.6753

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: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.8455	1.0	3264	0.7663	0.6661	0.6802	0.6661	0.6693
0.6421	2.0	6528	0.8295	0.6777	0.6743	0.6777	0.6753

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6