---
library_name: transformers
base_model: eternalGenius/rubert_level2
tags:
- generated_from_trainer
model-index:
- name: rubert_level2
  results: []
---

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# rubert_level2

This model is a fine-tuned version of [eternalGenius/rubert_level2](https://huggingface.co/eternalGenius/rubert_level2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1661
- F1 Micro: 0.7178
- F1 Macro: 0.7076
- F1 Weighted: 0.7118

## 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-06
- 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_steps: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|
| 0.1082        | 1.0   | 97   | 0.1827          | 0.6862   | 0.6628   | 0.6653      |
| 0.0939        | 2.0   | 194  | 0.1743          | 0.7165   | 0.7000   | 0.7067      |
| 0.0861        | 3.0   | 291  | 0.1737          | 0.7198   | 0.7049   | 0.7055      |
| 0.0796        | 4.0   | 388  | 0.1735          | 0.7160   | 0.7074   | 0.7095      |
| 0.0771        | 5.0   | 485  | 0.1699          | 0.7089   | 0.6921   | 0.6923      |
| 0.0668        | 6.0   | 582  | 0.1661          | 0.7178   | 0.7076   | 0.7118      |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2