populism_classifier_bsample_397 – AI Model by AnonymousCS | AlphaNeural AI

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populism_classifier_bsample_397

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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populism_classifier_bsample_397

This model is a fine-tuned version of google/rembert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4551
Accuracy: 0.9050
1-f1: 0.3333
1-recall: 0.8182
1-precision: 0.2093
Balanced Acc: 0.8629

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.0787	1.0	5	0.3797	0.8470	0.2750	1.0	0.1594	0.9212
0.057	2.0	10	0.5416	0.8443	0.2532	0.9091	0.1471	0.8757
0.03	3.0	15	0.4551	0.9050	0.3333	0.8182	0.2093	0.8629

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3