---
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: 1.1639
- Bleu: 15.2673
- Gen Len: 50.7578

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.2528        | 0.44  | 500  | 2.3059          | 0.2046  | 68.5206 |
| 1.2562        | 0.89  | 1000 | 1.9629          | 1.2393  | 61.1236 |
| 1.0764        | 1.33  | 1500 | 1.6859          | 4.1958  | 57.1075 |
| 0.95          | 1.78  | 2000 | 1.5075          | 6.683   | 55.8533 |
| 0.8486        | 2.22  | 2500 | 1.3848          | 9.3923  | 53.5568 |
| 0.7887        | 2.67  | 3000 | 1.3047          | 11.7962 | 53.6583 |
| 0.7488        | 3.11  | 3500 | 1.2574          | 12.8451 | 54.3196 |
| 0.692         | 3.56  | 4000 | 1.2154          | 13.6083 | 51.0131 |
| 0.6795        | 4.0   | 4500 | 1.1881          | 14.7516 | 51.6563 |
| 0.6375        | 4.45  | 5000 | 1.1714          | 15.1401 | 51.5437 |
| 0.6332        | 4.89  | 5500 | 1.1639          | 15.2673 | 50.7578 |


### Framework versions

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