---
license: mit
base_model: cointegrated/rubert-tiny2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 128Bert
  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. -->

# 128Bert

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: 0.8346
- Accuracy: 0.7033

## 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: 128
- eval_batch_size: 128
- seed: 42
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1934        | 1.0   | 2074  | 1.1488          | 0.6027   |
| 1.0626        | 2.0   | 4148  | 1.0247          | 0.6459   |
| 0.9729        | 3.0   | 6222  | 0.9483          | 0.6658   |
| 0.908         | 4.0   | 8296  | 0.9041          | 0.6811   |
| 0.8684        | 5.0   | 10370 | 0.8771          | 0.6897   |
| 0.8348        | 6.0   | 12444 | 0.8593          | 0.6956   |
| 0.8055        | 7.0   | 14518 | 0.8507          | 0.6991   |
| 0.7924        | 8.0   | 16592 | 0.8410          | 0.7017   |
| 0.7857        | 9.0   | 18666 | 0.8349          | 0.7037   |
| 0.7732        | 10.0  | 20740 | 0.8346          | 0.7033   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1