populism_classifier_bsample_129 – AI Model by AnonymousCS | AlphaNeural AI | AlphaNeural AI

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populism_classifier_bsample_129

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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populism_classifier_bsample_129

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6651
Accuracy: 0.7145
1-f1: 0.2667
1-recall: 0.9189
1-precision: 0.1560
Balanced Acc: 0.8106

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
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: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.7601	1.0	18	0.7731	0.2870	0.1304	0.9459	0.07	0.5968
0.714	2.0	36	0.8593	0.2580	0.1290	0.9730	0.0691	0.5941
0.7266	3.0	54	0.4779	0.9084	0.3023	0.3514	0.2653	0.6465
0.5782	4.0	72	0.5362	0.7282	0.2521	0.8108	0.1493	0.7671
0.1827	5.0	90	0.6651	0.7145	0.2667	0.9189	0.1560	0.8106

Framework versions

Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3