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# pegasus-x-base-finetuned-multi-news

This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3695
- Rouge1: 39.3711
- Rouge2: 13.3688
- Rougel: 22.2825
- Rougelsum: 33.911

## 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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.7281        | 1.0   | 625  | 2.3958          | 37.1778 | 12.486  | 21.2186 | 31.8237   |
| 2.4474        | 2.0   | 1250 | 2.3748          | 37.9969 | 12.951  | 21.7277 | 32.5926   |
| 2.3396        | 3.0   | 1875 | 2.3739          | 38.8944 | 13.3746 | 22.1289 | 33.5442   |
| 2.2637        | 4.0   | 2500 | 2.3645          | 38.2964 | 13.048  | 21.9356 | 32.8345   |
| 2.2019        | 5.0   | 3125 | 2.3699          | 38.8395 | 13.1676 | 22.0546 | 33.4517   |
| 2.1603        | 6.0   | 3750 | 2.3641          | 39.3608 | 13.5131 | 22.3133 | 33.8639   |
| 2.1346        | 7.0   | 4375 | 2.3695          | 39.3711 | 13.3688 | 22.2825 | 33.911    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "pegasus-x-base-finetuned-multi-news", "results": []}]}
transformers pytorch tensorboard pegasus_x text2text-generation summarization generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #pegasus_x #text2text-generation #summarization #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

pegasus-x-base-finetuned-multi-news
===================================


This model is a fine-tuned version of google/pegasus-x-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 2.3695
* Rouge1: 39.3711
* Rouge2: 13.3688
* Rougel: 22.2825
* Rougelsum: 33.911


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: 5.6e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* 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 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* 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 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #pegasus_x #text2text-generation #summarization #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* 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 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #pegasus_x #text2text-generation #summarization #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* 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 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3