---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart-large-translation-spa-guc
  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-large-translation-spa-guc

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8484
- Bleu: 3.2289
- Gen Len: 18.2771

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.5556        | 1.0   | 7668  | 1.2930          | 1.2368 | 18.9444 |
| 1.4604        | 2.0   | 15336 | 1.0780          | 1.9761 | 18.4493 |
| 0.8076        | 3.0   | 23004 | 0.9928          | 2.2387 | 18.297  |
| 1.1913        | 4.0   | 30672 | 0.9398          | 2.6084 | 18.2087 |
| 0.8532        | 5.0   | 38340 | 0.8947          | 2.5809 | 18.2469 |
| 0.6234        | 6.0   | 46008 | 0.8649          | 2.7376 | 18.2842 |
| 0.7989        | 7.0   | 53676 | 0.8535          | 2.8415 | 18.2283 |
| 0.6287        | 8.0   | 61344 | 0.8512          | 2.9061 | 18.1744 |
| 0.7429        | 9.0   | 69012 | 0.8471          | 2.9767 | 18.4115 |
| 0.3585        | 10.0  | 76680 | 0.8442          | 3.1551 | 18.2665 |
| 1.0195        | 11.0  | 84348 | 0.8484          | 3.2289 | 18.2771 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0