populism_classifier_bsample_100 – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
populism_classifier_bsample_100

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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populism_classifier_bsample_100

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8391
Accuracy: 0.8010
1-f1: 0.2703
1-recall: 0.9375
1-precision: 0.1579
Balanced Acc: 0.8664

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.2351	1.0	8	0.4598	0.8133	0.2692	0.875	0.1591	0.8429
0.1538	2.0	16	0.6661	0.7789	0.25	0.9375	0.1442	0.8549
0.0114	3.0	24	0.8391	0.8010	0.2703	0.9375	0.1579	0.8664

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3