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populism_classifier_bsample_021

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populism_classifier_bsample_021

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
0.3713	1.0	6	0.6526	0.7473	0.4198	0.8947	0.2742	0.8126
0.1364	2.0	12	0.9083	0.5887	0.3319	1.0	0.1990	0.7710
0.1126	3.0	18	0.7006	0.6532	0.3645	0.9737	0.2242	0.7952