---
library_name: transformers
license: mit
base_model: cointegrated/rubert-tiny2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ruBertTiny_attr_name_add
  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. -->

# ruBertTiny_attr_name_add

This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3449
- Accuracy: 0.8675

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step   | Validation Loss | Accuracy |
|:-------------:|:------:|:------:|:---------------:|:--------:|
| 0.5287        | 0.2739 | 10000  | 0.4472          | 0.7949   |
| 0.4568        | 0.5478 | 20000  | 0.4204          | 0.8120   |
| 0.4206        | 0.8217 | 30000  | 0.4116          | 0.7991   |
| 0.3907        | 1.0956 | 40000  | 0.3951          | 0.8291   |
| 0.3641        | 1.3695 | 50000  | 0.3851          | 0.8504   |
| 0.3532        | 1.6434 | 60000  | 0.3576          | 0.8333   |
| 0.3465        | 1.9173 | 70000  | 0.3509          | 0.8504   |
| 0.323         | 2.1912 | 80000  | 0.3523          | 0.8547   |
| 0.3099        | 2.4651 | 90000  | 0.3477          | 0.8632   |
| 0.3102        | 2.7391 | 100000 | 0.3449          | 0.8675   |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1