---
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: dataset-1700
  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. -->

# dataset-1700

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2549
- Gen Len: 16.3667
- Rouge-1: 36.0238
- Rouge-2: 18.9307
- Rouge-l: 35.0228

## 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   | 214  | 3.8357          | 37.1467 | 26.95   | 11.9204 | 25.5728 |
| No log        | 2.0   | 428  | 3.4294          | 32.64   | 28.5045 | 14.5187 | 26.6976 |
| No log        | 3.0   | 642  | 3.3246          | 17.4933 | 27.9551 | 14.0601 | 26.9049 |
| No log        | 4.0   | 856  | 3.2771          | 15.4    | 28.2521 | 13.6616 | 27.9303 |
| No log        | 5.0   | 1070 | 3.1305          | 20.2333 | 34.3539 | 18.0221 | 33.5067 |
| No log        | 6.0   | 1284 | 3.0782          | 16.9267 | 32.743  | 16.171  | 32.2637 |
| No log        | 7.0   | 1498 | 3.0556          | 17.1    | 33.9666 | 17.3623 | 33.5188 |
| No log        | 8.0   | 1712 | 3.0948          | 16.1067 | 35.7842 | 19.0957 | 35.1125 |
| No log        | 9.0   | 1926 | 3.1146          | 16.3133 | 33.9124 | 18.8415 | 33.2149 |
| No log        | 10.0  | 2140 | 3.1464          | 15.8467 | 35.1778 | 18.874  | 34.3936 |
| No log        | 11.0  | 2354 | 3.1760          | 16.4467 | 35.6329 | 19.0674 | 34.9167 |
| No log        | 12.0  | 2568 | 3.2549          | 16.3667 | 36.0238 | 18.9307 | 35.0228 |


### Framework versions

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