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# opus-mt-finetuned-id-to-jv

This model is a fine-tuned version of [hermanshid/opus-mt-finetuned-su-to-id](https://huggingface.co/hermanshid/opus-mt-finetuned-su-to-id) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5597
- Bleu: 50.74
- Gen Len: 58.1428

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.841         | 1.0   | 2500  | 0.7481          | 44.6803 | 58.0716 |
| 0.7025        | 2.0   | 5000  | 0.6599          | 47.0415 | 58.3842 |
| 0.6305        | 3.0   | 7500  | 0.6203          | 48.4781 | 58.154  |
| 0.5772        | 4.0   | 10000 | 0.5969          | 49.1335 | 58.4164 |
| 0.5472        | 5.0   | 12500 | 0.5816          | 49.7317 | 58.149  |
| 0.5215        | 6.0   | 15000 | 0.5728          | 50.1163 | 58.0292 |
| 0.5079        | 7.0   | 17500 | 0.5676          | 50.4371 | 58.2302 |
| 0.4845        | 8.0   | 20000 | 0.5626          | 50.606  | 58.0254 |
| 0.4703        | 9.0   | 22500 | 0.5600          | 50.7025 | 58.0016 |
| 0.4597        | 10.0  | 25000 | 0.5597          | 50.74   | 58.1428 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
{"language": ["jv", "id"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "opus-mt-finetuned-id-to-jv", "results": []}]}
transformers pytorch tensorboard marian text2text-generation generated_from_trainer jv id license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #marian #text2text-generation #generated_from_trainer #jv #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

opus-mt-finetuned-id-to-jv
==========================


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


* Loss: 0.5597
* Bleu: 50.74
* Gen Len: 58.1428


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 #jv #id #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