---
license: mit
base_model: sn4kebyt3/ru-bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart-rebuilder
  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. -->

# bart-rebuilder

This model is a fine-tuned version of [sn4kebyt3/ru-bart-large](https://huggingface.co/sn4kebyt3/ru-bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8215
- Bleu: 50.6678
- Chrf: 77.7388
- Gen Len: 23.5257

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Chrf    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|
| 0.5679        | 1.0   | 6914  | 0.7178          | 45.1359 | 74.9569 | 23.4132 |
| 0.2277        | 2.0   | 13828 | 0.6731          | 49.1274 | 76.9144 | 23.4925 |
| 0.0424        | 3.0   | 20742 | 0.8215          | 50.6678 | 77.7388 | 23.5257 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2