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populism_classifier_045

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populism_classifier_045

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: 64
eval_batch_size: 64
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
0.1773	1.0	34	0.2213	0.9647	0.5581	0.6316	0.5	0.8042
0.0088	2.0	68	0.3743	0.9665	0.4706	0.4211	0.5333	0.7038
0.0247	3.0	102	0.2540	0.9684	0.5854	0.6316	0.5455	0.8062