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populism_model314

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populism_model314

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
0.4183	1.0	43	0.2381	0.9497	0.6909	0.76	0.6333	0.8624
0.2104	2.0	86	0.4533	0.9556	0.6667	0.6	0.75	0.7920
0.1263	3.0	129	0.4524	0.9556	0.6667	0.6	0.75	0.7920