---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: MarianMix_en-10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MarianMix_en-10

This model is a fine-tuned version of [Helsinki-NLP/opus-tatoeba-en-ja](https://huggingface.co/Helsinki-NLP/opus-tatoeba-en-ja) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6857
- Bleu: 27.5143
- Gen Len: 34.3598

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 99
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.9771        | 0.44  | 500  | 1.5875          | 1.2678  | 52.398  |
| 0.9175        | 0.89  | 1000 | 1.2906          | 6.1512  | 33.5839 |
| 0.7443        | 1.33  | 1500 | 1.0735          | 11.8884 | 33.0704 |
| 0.6426        | 1.78  | 2000 | 0.9260          | 16.6793 | 36.4523 |
| 0.5637        | 2.22  | 2500 | 0.8367          | 20.7927 | 35.9216 |
| 0.5013        | 2.67  | 3000 | 0.7833          | 22.5786 | 34.401  |
| 0.465         | 3.11  | 3500 | 0.7479          | 24.2307 | 36.3799 |
| 0.4187        | 3.56  | 4000 | 0.7232          | 25.5875 | 33.5236 |
| 0.4108        | 4.0   | 4500 | 0.6995          | 26.672  | 33.9236 |
| 0.3703        | 4.45  | 5000 | 0.6924          | 27.0479 | 34.9759 |
| 0.3701        | 4.89  | 5500 | 0.6857          | 27.5143 | 34.3598 |


### Framework versions

- Transformers 4.12.5
- Pytorch 1.9.1
- Datasets 1.17.0
- Tokenizers 0.10.3