pytorch tensorboard mbart text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart-large-cc25-finetuned-ko-to-en
  results: []
---

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# mbart-large-cc25-finetuned-ko-to-en

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: 0.9388
- Bleu: 20.301
- Gen Len: 114.7908

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- 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  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
| 2.253         | 1.0   | 664  | 1.1693          | 20.073  | 5.8056   |
| 1.1747        | 2.0   | 1328 | 0.9898          | 25.8761 | 7.1737   |
| 0.8827        | 3.0   | 1992 | 0.9286          | 25.4729 | 12.5726  |
| 0.5698        | 4.0   | 2656 | 0.9299          | 18.5817 | 33.1697  |
| 0.4985        | 5.0   | 3320 | 0.9388          | 20.301  | 114.7908 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
