---
base_model: ai-forever/ruRoberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: logs
  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. -->

# logs

This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5528
- Accuracy: 0.4286

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 95   | 3.0691          | 0.2857   |
| No log        | 2.0   | 190  | 2.3608          | 0.4656   |
| No log        | 3.0   | 285  | 2.8215          | 0.4180   |
| No log        | 4.0   | 380  | 2.7833          | 0.3651   |
| No log        | 5.0   | 475  | 2.3186          | 0.4550   |
| 0.5693        | 6.0   | 570  | 2.3792          | 0.4180   |
| 0.5693        | 7.0   | 665  | 2.5442          | 0.4603   |
| 0.5693        | 8.0   | 760  | 2.6696          | 0.4444   |
| 0.5693        | 9.0   | 855  | 2.3096          | 0.4762   |
| 0.5693        | 10.0  | 950  | 2.8165          | 0.4550   |
| 0.4429        | 11.0  | 1045 | 3.2277          | 0.4233   |
| 0.4429        | 12.0  | 1140 | 3.0367          | 0.4233   |
| 0.4429        | 13.0  | 1235 | 3.3685          | 0.4127   |
| 0.4429        | 14.0  | 1330 | 3.3807          | 0.4180   |
| 0.4429        | 15.0  | 1425 | 3.5592          | 0.4021   |
| 0.3361        | 16.0  | 1520 | 3.8085          | 0.3915   |
| 0.3361        | 17.0  | 1615 | 3.3284          | 0.4233   |
| 0.3361        | 18.0  | 1710 | 3.2054          | 0.4339   |
| 0.3361        | 19.0  | 1805 | 3.6119          | 0.4180   |
| 0.3361        | 20.0  | 1900 | 3.5837          | 0.4339   |
| 0.3361        | 21.0  | 1995 | 3.4894          | 0.4180   |
| 0.2764        | 22.0  | 2090 | 3.3315          | 0.4074   |
| 0.2764        | 23.0  | 2185 | 3.5583          | 0.4127   |
| 0.2764        | 24.0  | 2280 | 3.4930          | 0.4127   |
| 0.2764        | 25.0  | 2375 | 3.5141          | 0.4339   |
| 0.2764        | 26.0  | 2470 | 3.5180          | 0.4339   |
| 0.2182        | 27.0  | 2565 | 3.6063          | 0.4233   |
| 0.2182        | 28.0  | 2660 | 3.5765          | 0.4233   |
| 0.2182        | 29.0  | 2755 | 3.5506          | 0.4233   |
| 0.2182        | 30.0  | 2850 | 3.5528          | 0.4286   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2