xlmr_german_immigration1 – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
xlmr_german_immigration1

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlmr_german_immigration1

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: 0.1664
Accuracy: 0.9538
1-f1: 0.9268
1-recall: 0.8837
1-precision: 0.9744
Balanced Acc: 0.9361

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
0.3542	1.0	5	0.1537	0.9538	0.925	0.8605	1.0	0.9302
0.1428	2.0	10	0.3174	0.9	0.8632	0.9535	0.7885	0.9135
0.2483	3.0	15	0.1664	0.9538	0.9268	0.8837	0.9744	0.9361

Framework versions

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