---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: test
  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. -->

# test

This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1215
- Gen Len: 17.3533
- Rouge-1: 39.1861
- Rouge-2: 22.0975
- Rouge-l: 38.4014

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | Rouge-1 | Rouge-2 | Rouge-l |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|
| No log        | 1.0   | 642  | 3.3523          | 22.5622 | 28.8044 | 14.6813 | 28.1959 |
| No log        | 2.0   | 1284 | 2.9887          | 22.7422 | 36.6353 | 19.681  | 35.9403 |
| No log        | 3.0   | 1926 | 2.9367          | 20.0578 | 38.6433 | 21.0943 | 37.9327 |
| No log        | 4.0   | 2568 | 2.9503          | 18.5644 | 38.6509 | 21.3031 | 37.8452 |
| No log        | 5.0   | 3210 | 2.9366          | 17.1689 | 38.8973 | 21.9518 | 38.3012 |
| No log        | 6.0   | 3852 | 2.9782          | 19.2489 | 39.5578 | 22.3324 | 38.9385 |
| No log        | 7.0   | 4494 | 3.0080          | 19.0422 | 38.1388 | 21.5059 | 37.4054 |
| 2.8286        | 8.0   | 5136 | 3.0908          | 18.4667 | 38.7921 | 21.3614 | 38.0183 |
| 2.8286        | 9.0   | 5778 | 3.1191          | 18.2978 | 39.3199 | 22.3807 | 38.6943 |
| 2.8286        | 10.0  | 6420 | 3.1215          | 17.3533 | 39.1861 | 22.0975 | 38.4014 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2