xlm-roberta-large-fake-news-german – AI Model by krisschaaf | AlphaNeural AI

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krisschaaf/
xlm-roberta-large-fake-news-german

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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trainer_output

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: 0.1070
Accuracy: 0.9795
F1: 0.9795
Precision: 0.9795
Recall: 0.9795

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: 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
lr_scheduler_warmup_steps: 573
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1621	1.0	1147	0.0951	0.9669	0.9668	0.9670	0.9669
0.0976	2.0	2294	0.0907	0.9762	0.9762	0.9763	0.9762
0.0583	3.0	3441	0.1050	0.9767	0.9766	0.9767	0.9767
0.0247	4.0	4588	0.1127	0.9780	0.9780	0.9780	0.9780
0.0099	5.0	5735	0.1475	0.9780	0.9780	0.9780	0.9780

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1