---
license: mit
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: rubert-tiny-finetuned-cola
  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-tiny-finetuned-cola

This model is a fine-tuned version of [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0013
- Matthews Correlation: 0.9994

## 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: 5.0640317288646484e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 28
- 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 | Matthews Correlation |
|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
| 0.0326        | 1.0   | 2667  | 0.0180          | 0.9907               |
| 0.0143        | 2.0   | 5334  | 0.0075          | 0.9957               |
| 0.0102        | 3.0   | 8001  | 0.0049          | 0.9979               |
| 0.0026        | 4.0   | 10668 | 0.0019          | 0.9993               |
| 0.0018        | 5.0   | 13335 | 0.0013          | 0.9994               |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
