---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_translator_json_sentence_split
  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. -->

# mBART_translator_json_sentence_split

This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0769
- Bleu: 87.2405
- Gen Len: 27.425

## 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: 1e-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
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.0011        | 1.0   | 2978  | 0.5458          | 63.8087 | 32.3819 |
| 1.1978        | 2.0   | 5956  | 0.1854          | 76.5291 | 27.6781 |
| 0.9276        | 3.0   | 8934  | 0.1123          | 84.7194 | 27.5773 |
| 0.776         | 4.0   | 11912 | 0.0845          | 87.505  | 27.2845 |
| 0.6889        | 5.0   | 14890 | 0.0769          | 87.2405 | 27.425  |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1