pytorch tensorboard marian text2text-generation transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ko-en-finetuned-ko-to-en4
  results: []
---

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# opus-mt-ko-en-finetuned-ko-to-en4

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9824
- Bleu: 0.5767
- Gen Len: 13.1529

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 512
- total_train_batch_size: 2048
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 0.99  | 52   | 2.9824          | 0.5767 | 13.1529 |
| No log        | 1.99  | 104  | 2.9824          | 0.5767 | 13.1529 |
| No log        | 2.99  | 156  | 2.9824          | 0.5767 | 13.1529 |
| No log        | 3.99  | 208  | 2.9824          | 0.5767 | 13.1529 |
| No log        | 4.99  | 260  | 2.9824          | 0.5767 | 13.1529 |


### Framework versions

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