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
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_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