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# pegasus-multi_news-commentaries_hdwriter

This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7259
- Rouge1: 21.3899
- Rouge2: 6.2409
- Rougel: 16.6172
- Rougelsum: 17.808
- Gen Len: 34.7016

## 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: 1
- eval_batch_size: 1
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.847         | 1.0   | 4710  | 2.7513          | 20.5559 | 5.9762 | 16.1223 | 17.2872   | 35.81   |
| 2.6399        | 2.0   | 9420  | 2.6890          | 21.2052 | 6.0104 | 16.5753 | 17.6517   | 34.5242 |
| 2.3811        | 3.0   | 14130 | 2.6904          | 21.2358 | 6.1416 | 16.6053 | 17.7067   | 34.6157 |
| 2.2388        | 4.0   | 18840 | 2.7112          | 21.3806 | 6.1895 | 16.6909 | 17.7504   | 34.5227 |
| 2.1589        | 5.0   | 23550 | 2.7259          | 21.3899 | 6.2409 | 16.6172 | 17.808    | 34.7016 |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-multi_news", "model-index": [{"name": "pegasus-multi_news-commentaries_hdwriter", "results": []}]}
transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer base_model:google/pegasus-multi_news autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-multi_news #autotrain_compatible #endpoints_compatible #has_space #region-us 

pegasus-multi\_news-commentaries\_hdwriter
==========================================


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


* Loss: 2.7259
* Rouge1: 21.3899
* Rouge2: 6.2409
* Rougel: 16.6172
* Rougelsum: 17.808
* Gen Len: 34.7016


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: 1
* eval\_batch\_size: 1
* 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


### Training results



### Framework versions


* Transformers 4.15.0
* Pytorch 1.10.0+cu111
* Datasets 1.17.0
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* 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 ### Training results ### Framework versions


* Transformers 4.15.0
* Pytorch 1.10.0+cu111
* Datasets 1.17.0
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-multi_news #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* 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 ### Training results ### Framework versions


* Transformers 4.15.0
* Pytorch 1.10.0+cu111
* Datasets 1.17.0
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-multi_news #autotrain_compatible #endpoints_compatible #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* 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### Training results### Framework versions


* Transformers 4.15.0
* Pytorch 1.10.0+cu111
* Datasets 1.17.0
* Tokenizers 0.10.3