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populism_classifier_bsample_037

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populism_classifier_bsample_037

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased 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
0.068	1.0	6	0.5744	0.8548	0.4203	0.9062	0.2736	0.8789
0.2657	2.0	12	0.6911	0.9165	0.4390	0.5625	0.36	0.7504
0.0267	3.0	18	0.6025	0.8439	0.3944	0.875	0.2545	0.8585