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