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# pegasus_paraphraser

This model is a fine-tuned version of [tuner007/pegasus_paraphrase](https://huggingface.co/tuner007/pegasus_paraphrase) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3852

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8224        | 0.19  | 10   | 1.2976          |
| 1.3213        | 0.37  | 20   | 1.2302          |
| 1.2333        | 0.56  | 30   | 1.2068          |
| 1.1097        | 0.74  | 40   | 1.1991          |
| 1.3741        | 0.93  | 50   | 1.2260          |
| 1.0593        | 1.12  | 60   | 1.2005          |
| 1.1234        | 1.3   | 70   | 1.2103          |
| 1.0116        | 1.49  | 80   | 1.2098          |
| 0.8591        | 1.67  | 90   | 1.1709          |
| 0.9176        | 1.86  | 100  | 1.1830          |
| 0.7524        | 2.05  | 110  | 1.2122          |
| 0.7762        | 2.23  | 120  | 1.2398          |
| 0.677         | 2.42  | 130  | 1.2440          |
| 0.8364        | 2.6   | 140  | 1.2356          |
| 0.7489        | 2.79  | 150  | 1.2542          |
| 0.7113        | 2.98  | 160  | 1.2678          |
| 0.5462        | 3.16  | 170  | 1.3100          |
| 0.6775        | 3.35  | 180  | 1.3193          |
| 0.6417        | 3.53  | 190  | 1.3157          |
| 0.547         | 3.72  | 200  | 1.3172          |
| 0.5357        | 3.91  | 210  | 1.3311          |
| 0.6796        | 4.09  | 220  | 1.3236          |
| 0.4884        | 4.28  | 230  | 1.3288          |
| 0.483         | 4.47  | 240  | 1.3423          |
| 0.667         | 4.65  | 250  | 1.3702          |
| 0.5785        | 4.84  | 260  | 1.3817          |
| 0.6123        | 5.02  | 270  | 1.3728          |
| 0.4735        | 5.21  | 280  | 1.3731          |
| 0.5278        | 5.4   | 290  | 1.3783          |
| 0.5393        | 5.58  | 300  | 1.3904          |
| 0.4631        | 5.77  | 310  | 1.3884          |
| 0.4538        | 5.95  | 320  | 1.3800          |
| 0.5137        | 6.14  | 330  | 1.3766          |
| 0.5514        | 6.33  | 340  | 1.3815          |
| 0.4629        | 6.51  | 350  | 1.3849          |
| 0.5013        | 6.7   | 360  | 1.3855          |
| 0.4566        | 6.88  | 370  | 1.3852          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "pegasus_paraphraser", "results": []}]}
transformers pytorch pegasus text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #pegasus #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

pegasus\_paraphraser
====================


This model is a fine-tuned version of tuner007/pegasus\_paraphrase on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.3852


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: 0.0001
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #pegasus #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: 0.0001
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 4
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3