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

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: 1.2138
- Bleu: 30.2906
- Gen Len: 61.8136

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6062        | 1.0   | 2500  | 1.4921          | 25.6912 | 62.7002 |
| 1.4351        | 2.0   | 5000  | 1.3702          | 27.6125 | 62.2532 |
| 1.3364        | 3.0   | 7500  | 1.3116          | 28.515  | 62.4072 |
| 1.2696        | 4.0   | 10000 | 1.2821          | 29.279  | 61.8128 |
| 1.2245        | 5.0   | 12500 | 1.2532          | 29.6096 | 61.631  |
| 1.1812        | 6.0   | 15000 | 1.2373          | 29.8749 | 61.9136 |
| 1.1589        | 7.0   | 17500 | 1.2309          | 29.8342 | 62.038  |
| 1.1268        | 8.0   | 20000 | 1.2186          | 30.0483 | 61.9544 |
| 1.1055        | 9.0   | 22500 | 1.2158          | 30.3904 | 61.5692 |
| 1.1035        | 10.0  | 25000 | 1.2138          | 30.2906 | 61.8136 |


### 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-id-to-su", "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-id-to-su
==========================


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: 1.2138
* Bleu: 30.2906
* Gen Len: 61.8136


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