ruRoberta_RU – AI Model by mahsharyahan | AlphaNeural AI | AlphaNeural AI

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mahsharyahan/
ruRoberta_RU

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text-classification

generated_from_trainer

ai-forever/ruRoberta-large

autotrain_compatible

endpoints_compatible

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ruRoberta_RU

This model is a fine-tuned version of ai-forever/ruRoberta-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6573
Accuracy: 0.8214
F1: 0.8810
Precision: 0.7872
Recall: 1.0

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	25	0.5809	0.6786	0.8043	0.6727	1.0
No log	2.0	50	0.5995	0.7143	0.8222	0.6981	1.0
No log	3.0	75	0.4883	0.8214	0.8810	0.7872	1.0
No log	4.0	100	0.5709	0.8214	0.8810	0.7872	1.0
No log	5.0	125	0.6573	0.8214	0.8810	0.7872	1.0

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0