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

# vashkontrol-sentiment-rubert

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: 0.1085
- F1: 0.9461

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0992        | 1.0   | 1391 | 0.0737          | 0.9337 |
| 0.0585        | 2.0   | 2782 | 0.0616          | 0.9384 |
| 0.0358        | 3.0   | 4173 | 0.0787          | 0.9441 |
| 0.0221        | 4.0   | 5564 | 0.0918          | 0.9488 |
| 0.0106        | 5.0   | 6955 | 0.1085          | 0.9461 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3