populism_model331 – AI Model by AnonymousCS | AlphaNeural AI

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populism_model331

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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populism_model331

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

Loss: 0.8211
Accuracy: 0.9411
1-f1: 0.0
1-recall: 0.0
1-precision: 0.0
Balanced Acc: 0.5

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: 8
eval_batch_size: 8
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.9836	1.0	1402	0.9068	0.9411	0.0	0.0	0.0	0.5
0.9653	2.0	2804	0.8259	0.9411	0.0	0.0	0.0	0.5
0.9614	3.0	4206	0.8149	0.9411	0.0	0.0	0.0	0.5
1.0108	4.0	5608	0.8870	0.9411	0.0	0.0	0.0	0.5
1.0012	5.0	7010	0.8211	0.9411	0.0	0.0	0.0	0.5

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1