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ruBert-base-finetuned-mk

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

  • Loss: 2.3229

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
2.8538 1.0 6 2.5675
2.6341 2.0 12 2.2714
2.5163 3.0 18 2.4312

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1+cpu
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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