---
library_name: transformers
license: mit
base_model: sergeyzh/rubert-tiny-turbo
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- precision
- f1
model-index:
- name: results2
  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. -->

# results2

This model is a fine-tuned version of [sergeyzh/rubert-tiny-turbo](https://huggingface.co/sergeyzh/rubert-tiny-turbo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4427
- Accuracy: 0.9538
- Recall: 0.7081
- Precision: 0.6196
- F1: 0.6609
- Roc Auc: 0.9492

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
| 0.5363        | 1.0   | 634  | 0.4125          | 0.9290   | 0.7143 | 0.4618    | 0.5610 | 0.9315  |
| 0.3492        | 2.0   | 1268 | 0.3806          | 0.9448   | 0.7143 | 0.5502    | 0.6216 | 0.9475  |
| 0.3259        | 3.0   | 1902 | 0.4427          | 0.9538   | 0.7081 | 0.6196    | 0.6609 | 0.9492  |
| 0.1526        | 4.0   | 2536 | 0.6152          | 0.9546   | 0.7143 | 0.625     | 0.6667 | 0.9414  |
| 0.0028        | 5.0   | 3170 | 0.7408          | 0.9606   | 0.6708 | 0.6968    | 0.6835 | 0.9380  |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0