XLM-RoBERTa-xtreme-en

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

• Loss: 0.2838
• Accuracy: 0.9109
• F1: 0.7544

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: 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	F1
0.6502	1.0	235	0.3328	0.8995	0.7251
0.3239	2.0	470	0.2897	0.9101	0.7473
0.2644	3.0	705	0.2838	0.9109	0.7544

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1