---
language:
- ru
base_model: Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: lsg-lsh-mbart-cc25-16384-128-4-4ep
  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. -->

# lsg-lsh-mbart-cc25-16384-128-4-4ep

This model is a fine-tuned version of [Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep](https://huggingface.co/Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5736
- Rouge1: 2.6972
- Rouge2: 1.6893
- Rougel: 2.6528
- Rougelsum: 2.6347
- Gen Len: 135.5

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1