---
library_name: transformers
base_model: DeepPavlov/rubert-base-cased
tags:
- generated_from_trainer
model-index:
- name: rubert_level1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rubert_level1

This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0971
- F1 Micro: 0.9515
- F1 Macro: 0.9504
- F1 Weighted: 0.9515

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.1529        | 1.0   | 292  | 0.1426          | 0.9243   | 0.9222   | 0.9244      |
| 0.0557        | 2.0   | 584  | 0.1171          | 0.9354   | 0.9346   | 0.9363      |
| 0.0414        | 3.0   | 876  | 0.1106          | 0.9403   | 0.9393   | 0.9406      |
| 0.0288        | 4.0   | 1168 | 0.1015          | 0.9495   | 0.9485   | 0.9495      |
| 0.0154        | 5.0   | 1460 | 0.0971          | 0.9515   | 0.9504   | 0.9515      |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2