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# pegasus-pubmed-finetuned-paws

This model is a fine-tuned version of [google/pegasus-pubmed](https://huggingface.co/google/pegasus-pubmed) on the paws dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5012
- Rouge1: 56.8108
- Rouge2: 36.2576
- Rougel: 51.1666
- Rougelsum: 51.2193

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 0.73  | 1000 | 3.8839          | 51.2731 | 29.8072 | 45.767  | 45.5732   |
| 4.071         | 1.47  | 2000 | 3.6459          | 52.756  | 31.9185 | 48.0092 | 48.0544   |
| 3.5467        | 2.2   | 3000 | 3.5849          | 54.8127 | 33.1959 | 49.326  | 49.4971   |
| 3.5467        | 2.93  | 4000 | 3.5267          | 55.387  | 33.9516 | 50.683  | 50.6313   |
| 3.3654        | 3.66  | 5000 | 3.5031          | 57.5279 | 35.2664 | 51.9903 | 52.258    |
| 3.2844        | 4.4   | 6000 | 3.5296          | 56.0536 | 33.395  | 50.9909 | 51.244    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1

{"tags": ["paraphrasing", "generated_from_trainer"], "datasets": ["paws"], "metrics": ["rouge"], "model-index": [{"name": "pegasus-pubmed-finetuned-paws", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "paws", "type": "paws", "args": "labeled_final"}, "metrics": [{"type": "rouge", "value": 56.8108, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard pegasus text2text-generation paraphrasing generated_from_trainer dataset:paws model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #paraphrasing #generated_from_trainer #dataset-paws #model-index #autotrain_compatible #endpoints_compatible #region-us 

pegasus-pubmed-finetuned-paws
=============================


This model is a fine-tuned version of google/pegasus-pubmed on the paws dataset.
It achieves the following results on the evaluation set:


* Loss: 3.5012
* Rouge1: 56.8108
* Rouge2: 36.2576
* Rougel: 51.1666
* Rougelsum: 51.2193


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: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5
* mixed\_precision\_training: Native AMP
* label\_smoothing\_factor: 0.1


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5
* mixed\_precision\_training: Native AMP
* label\_smoothing\_factor: 0.1 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #paraphrasing #generated_from_trainer #dataset-paws #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5
* mixed\_precision\_training: Native AMP
* label\_smoothing\_factor: 0.1 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #paraphrasing #generated_from_trainer #dataset-paws #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 16
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5
* mixed\_precision\_training: Native AMP
* label\_smoothing\_factor: 0.1### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0
* Datasets 2.1.0
* Tokenizers 0.12.1