populism_classifier_bsample_403 – AI Model by AnonymousCS | AlphaNeural AI

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populism_classifier_bsample_403

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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populism_classifier_bsample_403

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

Loss: 0.5490
Accuracy: 0.9027
1-f1: 0.4950
1-recall: 0.8929
1-precision: 0.3425
Balanced Acc: 0.8980

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
0.1189	1.0	7	0.3968	0.9141	0.5161	0.8571	0.3692	0.8872
0.0679	2.0	14	0.6479	0.8721	0.4274	0.8929	0.2809	0.8819
0.0049	3.0	21	0.5490	0.9027	0.4950	0.8929	0.3425	0.8980

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3