propaganda-baseline-bert – AI Model by hannusia123123 | AlphaNeural AI

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hannusia123123/
propaganda-baseline-bert

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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propaganda-baseline-bert

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6813
Accuracy: 0.6092
F1 Macro: 0.4858
Precision Macro: 0.4768
Recall Macro: 0.5071

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro
No log	1.0	304	2.0594	0.4446	0.2976	0.3734	0.3266
2.1304	2.0	608	1.5846	0.5206	0.3962	0.3885	0.4488
2.1304	3.0	912	1.5094	0.5498	0.4487	0.4216	0.5024
0.9935	4.0	1216	1.5957	0.5854	0.4761	0.4552	0.5176
0.3969	5.0	1520	1.6813	0.6092	0.4858	0.4768	0.5071

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1