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populism_classifier_bsample_017

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populism_classifier_bsample_017

This model is a fine-tuned version of google-bert/bert-base-multilingual-cased 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
0.3045	1.0	7	0.6905	0.8765	0.2921	0.5909	0.1940	0.7401
0.0363	2.0	14	1.2531	0.6294	0.1747	0.9091	0.0966	0.7629
0.0149	3.0	21	0.7602	0.8255	0.2764	0.7727	0.1683	0.8003