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# opus-mt-finetuned-su-to-id

This model is a fine-tuned version of [hermanshid/opus-mt-finetuned-id-to-su](https://huggingface.co/hermanshid/opus-mt-finetuned-id-to-su) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0114
- Bleu: 34.1024
- Gen Len: 54.7788

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.4771        | 1.0   | 2500  | 1.3476          | 26.9951 | 54.326  |
| 1.2773        | 2.0   | 5000  | 1.2004          | 29.6076 | 54.7672 |
| 1.1813        | 3.0   | 7500  | 1.1286          | 31.2619 | 55.0676 |
| 1.1052        | 4.0   | 10000 | 1.0859          | 32.1006 | 54.8726 |
| 1.0558        | 5.0   | 12500 | 1.0561          | 32.7946 | 54.7328 |
| 1.019         | 6.0   | 15000 | 1.0383          | 33.2759 | 54.7428 |
| 0.9953        | 7.0   | 17500 | 1.0280          | 33.5529 | 54.6836 |
| 0.9656        | 8.0   | 20000 | 1.0169          | 33.9846 | 54.8196 |
| 0.9456        | 9.0   | 22500 | 1.0132          | 34.013  | 54.8898 |
| 0.9417        | 10.0  | 25000 | 1.0114          | 34.1024 | 54.7788 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "opus-mt-finetuned-su-to-id", "results": []}]}
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-finetuned-su-to-id
==========================


This model is a fine-tuned version of hermanshid/opus-mt-finetuned-id-to-su on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.0114
* Bleu: 34.1024
* Gen Len: 54.7788


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: 16
* eval\_batch\_size: 16
* 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 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* 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 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
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: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* 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 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3