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AnonymousCS/
populism_classifier_bsample_256

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populism_classifier_bsample_256

This model is a fine-tuned version of AnonymousCS/populism_multilingual_roberta_base on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
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: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.8619	1.0	4	0.7220	0.8403	0.1772	0.4375	0.1111	0.6471
0.1359	2.0	8	1.0784	0.5725	0.1471	0.9375	0.0798	0.7475
0.142	3.0	12	0.8809	0.6953	0.1733	0.8125	0.0970	0.7515