populism_classifier_bsample_402 – AI Model by AnonymousCS | AlphaNeural AI

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populism_classifier_bsample_402

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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populism_classifier_bsample_402

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

Loss: 0.4279
Accuracy: 0.9449
1-f1: 0.6333
1-recall: 0.8261
1-precision: 0.5135
Balanced Acc: 0.8891

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
0.0856	1.0	6	0.3340	0.8521	0.4158	0.9130	0.2692	0.8807
0.0178	2.0	12	0.5106	0.8822	0.4598	0.8696	0.3125	0.8763
0.0932	3.0	18	0.4279	0.9449	0.6333	0.8261	0.5135	0.8891

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3