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