ruBert-base-finetuned-russian-moshkov-child-corpus-pro

This model is a fine-tuned version of sberbank-ai/ruBert-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9961

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3098	1.0	31096	2.0987
2.1516	2.0	62192	2.0293
2.0897	3.0	93288	1.9993

Framework versions

• Transformers 4.27.2
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2