twitter-xlm-roberta-allData-class

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

• Loss: 0.7406
• F1: 0.7219
• Recall: 0.7477
• Accuracy: 0.7342

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: 1.7197827530913808e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 101
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Accuracy
0.9921	1.22	500	0.7383	0.6907	0.7194	0.7157
0.5734	2.44	1000	0.7406	0.7219	0.7477	0.7342

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0