chocee/ruRoberta-brand-text-classification

ruRoberta-large-brand-text-classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4496
• Accuracy: {'accuracy': 0.9166666666666666}
• F1 Score: {'f1': 0.8095238095238095}

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use 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_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score
0.0864	1.0	7	0.4496	{'accuracy': 0.9166666666666666}	{'f1': 0.8095238095238095}
0.5172	2.0	14	0.4940	{'accuracy': 0.9166666666666666}	{'f1': 0.8095238095238095}
0.2577	3.0	21	0.6420	{'accuracy': 0.5833333333333334}	{'f1': 0.3686274509803922}
0.5231	4.0	28	0.7110	{'accuracy': 0.5833333333333334}	{'f1': 0.3686274509803922}
0.4421	5.0	35	0.5916	{'accuracy': 0.75}	{'f1': 0.5029239766081871}
0.138	6.0	42	0.6586	{'accuracy': 0.75}	{'f1': 0.5029239766081871}
0.1561	7.0	49	0.6274	{'accuracy': 0.6666666666666666}	{'f1': 0.4259259259259259}
0.0271	8.0	56	0.6291	{'accuracy': 0.6666666666666666}	{'f1': 0.48148148148148145}
0.4528	9.0	63	0.5169	{'accuracy': 0.9166666666666666}	{'f1': 0.8095238095238095}
0.5633	10.0	70	0.4749	{'accuracy': 0.75}	{'f1': 0.6210526315789473}

Framework versions

• PEFT 0.13.2
• Transformers 4.46.1
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.1