
<!-- 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. -->

# paraphraser-german-mt5-small

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the paws-x (de) and tapaco (de) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7678
- Perplexity: 5.86

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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.7064        | 0.05  | 2000  | 2.0731          |
| 2.8673        | 0.11  | 4000  | 2.0420          |
| 2.6133        | 0.16  | 6000  | 2.0080          |
| 2.4563        | 0.21  | 8000  | 1.9556          |
| 2.385         | 0.27  | 10000 | 1.9090          |
| 2.3122        | 0.32  | 12000 | 1.9127          |
| 2.2775        | 0.38  | 14000 | 1.8658          |
| 2.2323        | 0.43  | 16000 | 1.8407          |
| 2.17          | 0.48  | 18000 | 1.8342          |
| 2.1672        | 0.54  | 20000 | 1.8328          |
| 2.1488        | 0.59  | 22000 | 1.8071          |
| 2.1026        | 0.64  | 24000 | 1.8328          |
| 2.1036        | 0.7   | 26000 | 1.7979          |
| 2.0854        | 0.75  | 28000 | 1.7895          |
| 2.0594        | 0.81  | 30000 | 1.7944          |
| 2.0793        | 0.86  | 32000 | 1.7726          |
| 2.0661        | 0.91  | 34000 | 1.7762          |
| 2.0722        | 0.97  | 36000 | 1.7714          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
{"language": ["de"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["paws-x", "tapaco"], "metrics": ["perplexity"], "model-index": [{"name": "paraphraser-german-mt5-small", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer de dataset:paws-x dataset:tapaco license:apache-2.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #de #dataset-paws-x #dataset-tapaco #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

paraphraser-german-mt5-small
============================


This model is a fine-tuned version of google/mt5-small on the paws-x (de) and tapaco (de) dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7678
* Perplexity: 5.86


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: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #de #dataset-paws-x #dataset-tapaco #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #de #dataset-paws-x #dataset-tapaco #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2