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populism_model293 – AI Model by AnonymousCS | AlphaNeural AI
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AnonymousCS
/
populism_model293
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
AnonymousCS/populism_english_bert_large_uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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populism_model293
This model is a fine-tuned version of
AnonymousCS/populism_english_bert_large_uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4788
Accuracy: 0.9833
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: 32
eval_batch_size: 32
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1-f1
1-recall
1-precision
Balanced Acc
0.467
1.0
225
0.4819
0.9833
0.0
0.0
0.0
0.5
0.3248
2.0
450
0.4710
0.9833
0.0
0.0
0.0
0.5
0.4408
3.0
675
0.4788
0.9833
0.0
0.0
0.0
0.5
Framework versions
Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
