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Administration_RuRoberta_aug1 – AI Model by Goshective | AlphaNeural AI
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Administration_RuRoberta_aug1
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transformers
safetensors
roberta
text-classification
generated_from_trainer
ai-forever/ruRoberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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Administration_RuRoberta_aug1
This model is a fine-tuned version of
sberbank-ai/ruRoberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9782
Accuracy: 0.3559
Top 2 Accuracy: 0.4949
Top 3 Accuracy: 0.5995
Roc Auc: 0.9207
F1: 0.3141
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: 12
eval_batch_size: 16
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Top 2 Accuracy
Top 3 Accuracy
Roc Auc
F1
4.1507
1.0
987
3.6147
0.2781
0.4082
0.4745
0.8956
0.2296
1.7773
2.0
1974
2.9782
0.3559
0.4949
0.5995
0.9207
0.3141
Framework versions
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
