---
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: RuTaskFlow-mBART-T26-200K
  results: []
pipeline_tag: text-generation
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RuTaskFlow-mBART-T26-200K

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5087
- Rouge1: 85.72
- Rouge2: 63.57
- Rougel: 83.99
- Rougelsum: 83.99

## 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.5496        | 0.9999 | 6803  | 0.5541          | 81.99  | 59.63  | 80.24  | 80.22     |
| 0.4657        | 2.0    | 13607 | 0.5035          | 84.21  | 62.28  | 82.5   | 82.48     |
| 0.307         | 2.9999 | 20410 | 0.4942          | 85.26  | 62.93  | 83.5   | 83.5      |
| 0.2345        | 3.9997 | 27212 | 0.5087          | 85.72  | 63.57  | 83.99  | 83.99     |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3