---
license: apache-2.0
base_model: ai-forever/ruBert-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: opd_bert_spam_ru
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# opd_bert_spam_ru

This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1034
- F1: 0.9872
- Accuracy: 0.9872

## 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: 8
- 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: 70
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
| 0.1094        | 0.5102 | 100  | 0.2559          | 0.9587 | 0.9591   |
| 0.1566        | 1.0204 | 200  | 0.0769          | 0.9847 | 0.9847   |
| 0.0352        | 1.5306 | 300  | 0.0860          | 0.9821 | 0.9821   |
| 0.0571        | 2.0408 | 400  | 0.0908          | 0.9846 | 0.9847   |
| 0.0256        | 2.5510 | 500  | 0.1034          | 0.9872 | 0.9872   |
| 0.0178        | 3.0612 | 600  | 0.1416          | 0.9770 | 0.9770   |
| 0.0098        | 3.5714 | 700  | 0.1461          | 0.9821 | 0.9821   |
| 0.0097        | 4.0816 | 800  | 0.1618          | 0.9770 | 0.9770   |
| 0.0003        | 4.5918 | 900  | 0.1651          | 0.9795 | 0.9795   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1