
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# trained_model

This model is a fine-tuned version of [opus-mt-en-de](https://huggingface.co/opus-mt-en-de) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4519
- Bleu: 27.6198
- Gen Len: 106.0

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 3    | 1.4519          | 27.6198 | 106.0   |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.8.0
- Datasets 1.18.3
- Tokenizers 0.10.3

{"language": ["en", "de"], "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "trained_model", "results": []}]}
transformers pytorch marian text2text-generation generated_from_trainer en de autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #en #de #autotrain_compatible #endpoints_compatible #region-us 

trained\_model
==============


This model is a fine-tuned version of opus-mt-en-de on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.4519
* Bleu: 27.6198
* Gen Len: 106.0


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: 5e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0


### Training results



### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.8.0
* Datasets 1.18.3
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.8.0
* Datasets 1.18.3
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #en #de #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.8.0
* Datasets 1.18.3
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #en #de #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0### Training results### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.8.0
* Datasets 1.18.3
* Tokenizers 0.10.3