populism_model90 – AI Model by AnonymousCS | AlphaNeural AI

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AnonymousCS/
populism_model90

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text-classification

generated_from_trainer

answerdotai/ModernBERT-base

autotrain_compatible

endpoints_compatible

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populism_model90

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

Loss: 0.7308
Accuracy: 0.9179
F1: 0.4335
Recall: 0.5116
Precision: 0.3761

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: 128
eval_batch_size: 128
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.3922	1.0	88	0.3904	0.8769	0.4062	0.6860	0.2885
0.2731	2.0	176	0.7119	0.9347	0.3960	0.3488	0.4580
0.2129	3.0	264	0.4806	0.9040	0.4035	0.5291	0.3262
0.1491	4.0	352	0.6170	0.9162	0.4226	0.5	0.3660
0.1097	5.0	440	0.7308	0.9179	0.4335	0.5116	0.3761

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0