---
library_name: transformers
license: apache-2.0
base_model: ai-forever/ruBert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mmodel_v7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mmodel_v7

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: 0.4323
- Accuracy: 0.9040
- F1: 0.9015

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.517         | 1.0   | 1523 | 0.4415          | 0.8809   | 0.8692 |
| 0.3514        | 2.0   | 3046 | 0.4008          | 0.8953   | 0.8870 |
| 0.2396        | 3.0   | 4569 | 0.3796          | 0.9034   | 0.9010 |
| 0.1594        | 4.0   | 6092 | 0.3798          | 0.9065   | 0.9034 |
| 0.1006        | 5.0   | 7615 | 0.4323          | 0.9040   | 0.9015 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3