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populism_model312

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populism_model312

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
0.3393	1.0	54	0.1669	0.9487	0.6562	0.875	0.525	0.9140
0.216	2.0	108	0.4713	0.9557	0.5366	0.4583	0.6471	0.7218
0.1001	3.0	162	0.5887	0.9604	0.5641	0.4583	0.7333	0.7242