xlmr_danish_immigration – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
xlmr_danish_immigration

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlmr_danish_immigration

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: 0.3558
Accuracy: 0.8615
1-f1: 0.7692
1-recall: 0.6977
1-precision: 0.8571
Balanced Acc: 0.8201

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
0.2549	1.0	5	0.3429	0.8615	0.775	0.7209	0.8378	0.8260
0.1188	2.0	10	0.4027	0.8615	0.7568	0.6512	0.9032	0.8083
0.1717	3.0	15	0.3558	0.8615	0.7692	0.6977	0.8571	0.8201

Framework versions

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