Administration_RuRoberta_base – AI Model by Goshective | AlphaNeural AI

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Goshective/
Administration_RuRoberta_base

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text-classification

generated_from_trainer

ai-forever/ruRoberta-large

autotrain_compatible

endpoints_compatible

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Administration_RuRoberta_base

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: 2.6447
Accuracy: 0.4069
Top 2 Accuracy: 0.5663
Top 3 Accuracy: 0.6390
Roc Auc: 0.9061
F1: 0.3295

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 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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Top 2 Accuracy	Top 3 Accuracy	Roc Auc	F1
4.5494	1.0	262	3.5980	0.2653	0.3457	0.3992	0.7987	0.1532
3.5188	2.0	524	2.9169	0.3610	0.5102	0.5842	0.8921	0.2659
2.9534	3.0	786	2.7003	0.3954	0.5446	0.6314	0.9036	0.3091
2.3485	4.0	1048	2.6447	0.4069	0.5663	0.6390	0.9061	0.3295

Framework versions

Transformers 4.55.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4