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# opus-mt-ja-en-finetuned-ja-to-en_test

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4737
- Bleu: 80.2723
- Gen Len: 16.5492

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.1237        | 1.0   | 247  | 0.6131          | 60.9383 | 16.4152 |
| 0.5395        | 2.0   | 494  | 0.5274          | 67.5705 | 16.2883 |
| 0.3584        | 3.0   | 741  | 0.5122          | 71.3098 | 16.3777 |
| 0.2563        | 4.0   | 988  | 0.4887          | 73.6639 | 16.401  |
| 0.138         | 5.0   | 1235 | 0.4796          | 76.7942 | 16.4873 |
| 0.0979        | 6.0   | 1482 | 0.4849          | 76.9404 | 16.6162 |
| 0.0792        | 7.0   | 1729 | 0.4806          | 78.9831 | 16.5442 |
| 0.0569        | 8.0   | 1976 | 0.4765          | 79.3461 | 16.4873 |
| 0.0299        | 9.0   | 2223 | 0.4751          | 79.7901 | 16.4863 |
| 0.0204        | 10.0  | 2470 | 0.4737          | 80.2723 | 16.5492 |


### Framework versions

- Transformers 4.9.1
- Pytorch 1.9.0+cu111
- Datasets 1.10.2
- Tokenizers 0.10.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model_index": [{"name": "opus-mt-ja-en-finetuned-ja-to-en_test", "results": [{"task": {"name": "Sequence-to-sequence Language Modeling", "type": "text2text-generation"}, "metric": {"name": "Bleu", "type": "bleu", "value": 80.2723}}]}]}
transformers pytorch tensorboard marian text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-ja-en-finetuned-ja-to-en\_test
======================================


This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on an unkown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4737
* Bleu: 80.2723
* Gen Len: 16.5492


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: 0.0002
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.9.1
* Pytorch 1.9.0+cu111
* Datasets 1.10.2
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.9.1
* Pytorch 1.9.0+cu111
* Datasets 1.10.2
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.9.1
* Pytorch 1.9.0+cu111
* Datasets 1.10.2
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 32
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.9.1
* Pytorch 1.9.0+cu111
* Datasets 1.10.2
* Tokenizers 0.10.3