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populism_classifier_023

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populism_classifier_023

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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
0.4003	1.0	11	0.2501	0.9113	0.6234	0.9231	0.4706	0.9167
0.1352	2.0	22	0.4691	0.9480	0.6047	0.5	0.7647	0.7434
0.1484	3.0	33	0.8795	0.9419	0.4571	0.3077	0.8889	0.6522