UmoreskiAI

This model is a fine-tuned version of DeepPavlov/rubert-base-cased-sentence on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0956
• Roc auc: 0.8014
• Maxf1: 0.4348
• Best Threshold: 0.1332

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: 21
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Roc auc	Maxf1	Best Threshold
0.1013	1.0	993	0.0932	0.7972	0.4358	0.1875
0.0876	2.0	1986	0.0956	0.8014	0.4348	0.1332

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.12.1