---
library_name: transformers
base_model: ai-forever/ruBert-large
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ruBert-large-topic_classification
  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. -->

# ruBert-large-topic_classification

This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co/ai-forever/ruBert-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7900
- Precision: 0.8793
- Recall: 0.8646
- F1: 0.8688
- Accuracy: 0.8824

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 44   | 0.6327          | 0.8534    | 0.7883 | 0.8046 | 0.8186   |
| No log        | 2.0   | 88   | 0.4897          | 0.8847    | 0.8401 | 0.8548 | 0.8676   |
| No log        | 3.0   | 132  | 0.5957          | 0.8732    | 0.8617 | 0.8638 | 0.8676   |
| No log        | 4.0   | 176  | 0.6598          | 0.8808    | 0.8658 | 0.8700 | 0.8824   |
| No log        | 5.0   | 220  | 0.7086          | 0.8705    | 0.8589 | 0.8625 | 0.8775   |
| No log        | 6.0   | 264  | 0.7445          | 0.8793    | 0.8646 | 0.8688 | 0.8824   |
| No log        | 7.0   | 308  | 0.7661          | 0.8793    | 0.8646 | 0.8688 | 0.8824   |
| No log        | 8.0   | 352  | 0.7795          | 0.8793    | 0.8646 | 0.8688 | 0.8824   |
| No log        | 9.0   | 396  | 0.7870          | 0.8793    | 0.8646 | 0.8688 | 0.8824   |
| No log        | 10.0  | 440  | 0.7900          | 0.8793    | 0.8646 | 0.8688 | 0.8824   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1