---
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: be37dcb56e0edd7abfdd701c1e6cf0df
  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. -->

# be37dcb56e0edd7abfdd701c1e6cf0df

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the Helsinki-NLP/opus_books [de-en] dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3852
- Data Size: 1.0
- Epoch Runtime: 322.3205
- Bleu: 9.3174

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Data Size | Epoch Runtime | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:-------------:|:-------:|
| No log        | 0     | 0     | 6.2567          | 0         | 26.7048       | 1.6973  |
| No log        | 1     | 1286  | 4.4748          | 0.0078    | 29.5383       | 5.0592  |
| 0.0895        | 2     | 2572  | 3.3679          | 0.0156    | 33.2817       | 10.4733 |
| 0.0899        | 3     | 3858  | 2.2590          | 0.0312    | 37.5992       | 6.7743  |
| 0.0993        | 4     | 5144  | 2.1548          | 0.0625    | 47.5234       | 8.0927  |
| 2.0738        | 5     | 6430  | 2.0462          | 0.125     | 66.0811       | 8.5674  |
| 1.9511        | 6     | 7716  | 1.9638          | 0.25      | 101.6687      | 11.8428 |
| 1.8928        | 7     | 9002  | 1.9670          | 0.5       | 176.5597      | 12.5154 |
| 1.8482        | 8.0   | 10288 | 1.8666          | 1.0       | 321.5913      | 9.3952  |
| 1.4755        | 9.0   | 11574 | 1.8589          | 1.0       | 322.5186      | 9.5484  |
| 1.2218        | 10.0  | 12860 | 1.9179          | 1.0       | 322.5333      | 9.4680  |
| 0.9689        | 11.0  | 14146 | 2.0313          | 1.0       | 322.2198      | 9.4077  |
| 0.8023        | 12.0  | 15432 | 2.2226          | 1.0       | 324.6607      | 9.6218  |
| 0.6054        | 13.0  | 16718 | 2.3852          | 1.0       | 322.3205      | 9.3174  |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1