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populism_classifier_bsample_025

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populism_classifier_bsample_025

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
0.0977	1.0	9	1.2327	0.6443	0.2207	0.8919	0.1260	0.7607
0.1288	2.0	18	0.6766	0.8260	0.3372	0.7838	0.2148	0.8061
0.0342	3.0	27	0.7173	0.8198	0.3371	0.8108	0.2128	0.8156
0.0062	4.0	36	0.9166	0.7557	0.2920	0.8919	0.1746	0.8197