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

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: 0.0552
- Bleu: 95.1367
- Meteor: 0.9722
- Chrf: 98.1048
- Gen Len: 17.4214

## 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: 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    | Meteor | Chrf    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:-------:|
| 0.088         | 1.0   | 3842  | 0.0640          | 92.9548 | 0.9591 | 97.3173 | 17.4084 |
| 0.0319        | 2.0   | 7684  | 0.0516          | 94.7706 | 0.9697 | 97.9786 | 17.4139 |
| 0.0114        | 3.0   | 11526 | 0.0552          | 95.1367 | 0.9722 | 98.1048 | 17.4214 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1