twitter-xlm-roberta-finetuned-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: 0.7774
• F1: 0.7098
• Recall: 0.7333
• Accuracy: 0.7195

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
0.9152	1.44	500	0.7553	0.7047	0.7156	0.7195
0.5205	2.87	1000	0.7774	0.7098	0.7333	0.7195

Framework versions

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