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# parrot_paraphraser_on_T5-finetuned-xsum-v0

This model is a fine-tuned version of [prithivida/parrot_paraphraser_on_T5](https://huggingface.co/prithivida/parrot_paraphraser_on_T5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4418
- Rouge1: 79.364
- Rouge2: 74.776
- Rougel: 78.997
- Rougelsum: 78.7013
- Gen Len: 18.6789

## 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: 2
- eval_batch_size: 2
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 216  | 0.5427          | 79.4586 | 74.9115 | 78.8483 | 78.6557   | 18.6972 |
| No log        | 2.0   | 432  | 0.4922          | 79.5229 | 74.8555 | 78.7762 | 78.5797   | 18.6881 |
| 0.5974        | 3.0   | 648  | 0.4628          | 79.4743 | 74.7622 | 78.7621 | 78.5631   | 18.6881 |
| 0.5974        | 4.0   | 864  | 0.4517          | 79.6842 | 75.2876 | 79.3457 | 79.0682   | 18.6881 |
| 0.4292        | 5.0   | 1080 | 0.4451          | 79.6571 | 75.2248 | 79.2939 | 79.0412   | 18.6881 |
| 0.4292        | 6.0   | 1296 | 0.4409          | 79.3363 | 74.6763 | 78.9595 | 78.7335   | 18.6789 |
| 0.3367        | 7.0   | 1512 | 0.4398          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
| 0.3367        | 8.0   | 1728 | 0.4407          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
| 0.3367        | 9.0   | 1944 | 0.4413          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
| 0.3012        | 10.0  | 2160 | 0.4418          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |


### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "parrot_paraphraser_on_T5-finetuned-xsum-v0", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

parrot\_paraphraser\_on\_T5-finetuned-xsum-v0
=============================================


This model is a fine-tuned version of prithivida/parrot\_paraphraser\_on\_T5 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.4418
* Rouge1: 79.364
* Rouge2: 74.776
* Rougel: 78.997
* Rougelsum: 78.7013
* Gen Len: 18.6789


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: 2
* eval\_batch\_size: 2
* 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 4.22.0
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* 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 4.22.0
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* 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 4.22.0
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 2
* eval\_batch\_size: 2
* 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 4.22.0
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1