xlmr_swedish_immigration4

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4123
• Accuracy: 0.8692
• 1-f1: 0.8090
• 1-recall: 0.8372
• 1-precision: 0.7826
• Balanced Acc: 0.8611

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: 1e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.3763	1.0	5	0.3371	0.8692	0.7792	0.6977	0.8824	0.8258
0.241	2.0	10	0.4029	0.8692	0.8046	0.8140	0.7955	0.8553
0.2721	3.0	15	0.4123	0.8692	0.8090	0.8372	0.7826	0.8611

Framework versions

• Transformers 4.56.0.dev0
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4