---
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: news_topic_classification
  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. -->

# news_topic_classification

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7058
- F1: 0.8712

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7979        | 1.0   | 700  | 0.5218          | 0.8569 |
| 0.3673        | 2.0   | 1400 | 0.5402          | 0.8697 |
| 0.2483        | 3.0   | 2100 | 0.6277          | 0.8668 |
| 0.1684        | 4.0   | 2800 | 0.6599          | 0.8712 |
| 0.1099        | 5.0   | 3500 | 0.7058          | 0.8712 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3