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populism_classifier_195 – AI Model by AnonymousCS | AlphaNeural AI
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AnonymousCS
/
populism_classifier_195
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
AnonymousCS/populism_xlmr_base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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populism_classifier_195
This model is a fine-tuned version of
AnonymousCS/populism_xlmr_base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5952
Accuracy: 0.9580
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: 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: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1-f1
1-recall
1-precision
Balanced Acc
0.5122
1.0
18
0.5902
0.9580
0.0
0.0
0.0
0.5
0.4064
2.0
36
0.5926
0.9580
0.0
0.0
0.0
0.5
0.4596
3.0
54
0.5952
0.9580
0.0
0.0
0.0
0.5
Framework versions
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
