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# plbart-base_finetuned_ut_generator_70000_method2test

This model is a fine-tuned version of [Minata/plbart-base_finetuned_ut_generator_70000_method2test](https://huggingface.co/Minata/plbart-base_finetuned_ut_generator_70000_method2test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1594

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1996        | 1.0   | 7875  | 0.1690          |
| 0.1895        | 2.0   | 15750 | 0.1655          |
| 0.1816        | 3.0   | 23625 | 0.1628          |
| 0.1757        | 4.0   | 31500 | 0.1612          |
| 0.1714        | 5.0   | 39375 | 0.1599          |
| 0.1686        | 6.0   | 47250 | 0.1594          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "plbart-base_finetuned_ut_generator_70000_method2test", "results": []}]}
transformers pytorch tensorboard plbart text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #plbart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

plbart-base\_finetuned\_ut\_generator\_70000\_method2test
=========================================================


This model is a fine-tuned version of Minata/plbart-base\_finetuned\_ut\_generator\_70000\_method2test on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.1594


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-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #plbart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-06
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 6
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.13.2