---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: war-tiny-bert
  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. -->

# war-tiny-bert

This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3438
- F1: 0.6929

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.3216        | 1.0   | 2500  | 0.2645          | 0.5988 |
| 0.2388        | 2.0   | 5000  | 0.2379          | 0.6496 |
| 0.2067        | 3.0   | 7500  | 0.2375          | 0.6696 |
| 0.1822        | 4.0   | 10000 | 0.2553          | 0.6740 |
| 0.1661        | 5.0   | 12500 | 0.2770          | 0.6725 |
| 0.1509        | 6.0   | 15000 | 0.2853          | 0.6965 |
| 0.1423        | 7.0   | 17500 | 0.3187          | 0.6765 |
| 0.1322        | 8.0   | 20000 | 0.3277          | 0.6958 |
| 0.1256        | 9.0   | 22500 | 0.3411          | 0.6909 |
| 0.1224        | 10.0  | 25000 | 0.3438          | 0.6929 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2