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populism_model300

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populism_model300

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.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: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.3152	1.0	219	0.4151	0.9622	0.4844	0.3827	0.6596	0.6866
0.2534	2.0	438	0.3783	0.9622	0.5714	0.5432	0.6027	0.7629
0.1255	3.0	657	0.4478	0.9610	0.5641	0.5432	0.5867	0.7623