xlm-roberta-base-finetuned-emotion

This model is a fine-tuned version of xlm-roberta-base on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.1727
• Accuracy: 0.929
• F1: 0.9300

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: 32
• eval_batch_size: 32
• seed: 254
• 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	F1
0.9321	1.0	500	0.3098	0.895	0.8961
0.2468	2.0	1000	0.1798	0.932	0.9326
0.1506	3.0	1500	0.1727	0.929	0.9300

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.15.0
• Tokenizers 0.15.0