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# out

This model is a fine-tuned version of [ai-forever/ruRoberta-large](https://huggingface.co/ai-forever/ruRoberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5844
- Accuracy: 0.7432
- Precision: 0.5523
- Recall: 0.7432
- F1: 0.6337

## 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: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.3721        | 1.82  | 500  | 0.5791          | 0.7432   | 0.5523    | 0.7432 | 0.6337 |
| 0.6021        | 3.64  | 1000 | 0.5844          | 0.7432   | 0.5523    | 0.7432 | 0.6337 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "ai-forever/ruRoberta-large", "model-index": [{"name": "out", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:ai-forever/ruRoberta-large autotrain_compatible endpoints_compatible region:us