---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mBART_translator_json_hyperparameter_1
  results: []
---

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# mBART_translator_json_hyperparameter_1

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: 0.0871
- Bleu: 86.6567
- Gen Len: 43.0648

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.4912        | 1.0   | 1998 | 0.6319          | 66.5947 | 80.0315 |
| 1.4069        | 2.0   | 3996 | 0.2170          | 72.413  | 64.2111 |
| 1.0829        | 3.0   | 5994 | 0.1315          | 78.7786 | 40.3136 |
| 0.8977        | 4.0   | 7992 | 0.0979          | 84.3878 | 42.5152 |
| 0.8452        | 5.0   | 9990 | 0.0871          | 86.6567 | 43.0648 |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.0
- Tokenizers 0.13.1