---
license: apache-2.0
base_model: sberbank-ai/ruBert-base
tags:
- generated_from_trainer
model-index:
- name: ruBert-base-finetuned-politics
  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-politics

This model is a fine-tuned version of [sberbank-ai/ruBert-base](https://huggingface.co/sberbank-ai/ruBert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0560

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.648         | 1.0   | 36   | 2.1368          |
| 2.2417        | 2.0   | 72   | 1.9670          |
| 2.142         | 3.0   | 108  | 1.9991          |


### Framework versions

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