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populism_classifier_bsample_026

Name: populism_classifier_bsample_026
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populism_classifier_bsample_026

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
1.1494	1.0	8	0.6794	0.8674	0.3929	0.8148	0.2588	0.8426
0.0272	2.0	16	1.0143	0.7037	0.24	0.8889	0.1387	0.7912
0.0107	3.0	24	0.9618	0.7271	0.2553	0.8889	0.1491	0.8035