---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ruBert-base-finetuned-russian-moshkov-child-corpus-pro
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model is a fine-tuned version of [sberbank-ai/ruBert-base](https://huggingface.co/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