xlmr_german_immigration – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
xlmr_german_immigration

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlmr_german_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: 0.3769
Accuracy: 0.8615
1-f1: 0.7955
1-recall: 0.8140
1-precision: 0.7778
Balanced Acc: 0.8495

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.5882	1.0	5	0.5298	0.6692	0.0	0.0	0.0	0.5
0.4945	2.0	10	0.4520	0.8385	0.6866	0.5349	0.9583	0.7617
0.4504	3.0	15	0.3837	0.9077	0.8462	0.7674	0.9429	0.8722
0.2766	4.0	20	0.3393	0.8846	0.8148	0.7674	0.8684	0.8550
0.2902	5.0	25	0.3316	0.8769	0.8049	0.7674	0.8462	0.8492
0.2486	6.0	30	0.3545	0.8615	0.7907	0.7907	0.7907	0.8436
0.2217	7.0	35	0.3769	0.8615	0.7955	0.8140	0.7778	0.8495

Framework versions

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