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# pegasus-arxiv-finetuned-pubmed

This model is a fine-tuned version of [google/pegasus-arxiv](https://huggingface.co/google/pegasus-arxiv) on the pub_med_summarization_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8118
- Rouge1: 44.286
- Rouge2: 19.0477
- Rougel: 27.1122
- Rougelsum: 40.2609
- Gen Len: 230.586

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.65          | 1.0   | 1000 | 1.9848          | 40.6984 | 16.387  | 25.0097 | 36.4831   | 215.294 |
| 2.1317        | 2.0   | 2000 | 1.8524          | 43.6431 | 18.6794 | 26.7571 | 39.6642   | 224.646 |
| 2.0591        | 3.0   | 3000 | 1.8254          | 43.6707 | 18.5176 | 26.6015 | 39.6325   | 225.894 |
| 2.0109        | 4.0   | 4000 | 1.8138          | 44.1244 | 18.8866 | 26.8313 | 40.0913   | 229.656 |
| 1.9894        | 5.0   | 5000 | 1.8118          | 44.286  | 19.0477 | 27.1122 | 40.2609   | 230.586 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.11.6

{"tags": ["generated_from_trainer"], "datasets": ["pub_med_summarization_dataset"], "metrics": ["rouge"], "model-index": [{"name": "pegasus-arxiv-finetuned-pubmed", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "pub_med_summarization_dataset", "type": "pub_med_summarization_dataset", "args": "document"}, "metrics": [{"type": "rouge", "value": 44.286, "name": "Rouge1"}]}]}]}
transformers pytorch pegasus text2text-generation generated_from_trainer dataset:pub_med_summarization_dataset model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #pegasus #text2text-generation #generated_from_trainer #dataset-pub_med_summarization_dataset #model-index #autotrain_compatible #endpoints_compatible #region-us 

pegasus-arxiv-finetuned-pubmed
==============================


This model is a fine-tuned version of google/pegasus-arxiv on the pub\_med\_summarization\_dataset dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8118
* Rouge1: 44.286
* Rouge2: 19.0477
* Rougel: 27.1122
* Rougelsum: 40.2609
* Gen Len: 230.586


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: 5


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6



### 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: 5 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #pegasus #text2text-generation #generated_from_trainer #dataset-pub_med_summarization_dataset #model-index #autotrain_compatible #endpoints_compatible #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: 5 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #pegasus #text2text-generation #generated_from_trainer #dataset-pub_med_summarization_dataset #model-index #autotrain_compatible #endpoints_compatible #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: 5### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.9.1
* Datasets 1.18.4
* Tokenizers 0.11.6