xlmr_dutch_immigration2

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: 0.3999
• Accuracy: 0.8846
• 1-f1: 0.8148
• 1-recall: 0.7674
• 1-precision: 0.8684
• Balanced Acc: 0.8550

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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.3629	1.0	5	0.3651	0.8769	0.8	0.7442	0.8649	0.8434
0.2419	2.0	10	0.4123	0.8385	0.7529	0.7442	0.7619	0.8146
0.1851	3.0	15	0.3999	0.8846	0.8148	0.7674	0.8684	0.8550

Framework versions

• Transformers 4.56.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4