viktor-shcherb/sberbank-rubert-base-collection3

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sberbank-rubert-base-collection3

This model is a fine-tuned version of sberbank-ai/ruBert-base on the collection3 dataset. It achieves the following results on the validation set:

• —Loss: 0.0772
• —Precision: 0.9380
• —Recall: 0.9594
• —F1: 0.9486
• —Accuracy: 0.9860

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: 5e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.26.1
• —Pytorch 1.7.0
• —Datasets 2.10.1
• —Tokenizers 0.13.2