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# pegasus-newsroom-malay_headlines

This model is a fine-tuned version of [google/pegasus-newsroom](https://huggingface.co/google/pegasus-newsroom) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6603
- Rouge1: 42.6667
- Rouge2: 22.8739
- Rougel: 38.6684
- Rougelsum: 38.6928
- Gen Len: 34.7995

## 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: 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9713        | 1.0   | 15310 | 1.8121          | 41.1469 | 21.5262 | 37.3081 | 37.3377   | 35.0939 |
| 1.7917        | 2.0   | 30620 | 1.6913          | 42.4027 | 22.6089 | 38.4471 | 38.4699   | 34.8149 |
| 1.7271        | 3.0   | 45930 | 1.6603          | 42.6667 | 22.8739 | 38.6684 | 38.6928   | 34.7995 |


### Framework versions

- Transformers 4.12.2
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3

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

pegasus-newsroom-malay\_headlines
=================================


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


* Loss: 1.6603
* Rouge1: 42.6667
* Rouge2: 22.8739
* Rougel: 38.6684
* Rougelsum: 38.6928
* Gen Len: 34.7995


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: 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: 3
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.12.2
* Pytorch 1.9.0+cu111
* Datasets 1.14.0
* Tokenizers 0.10.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 3
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.12.2
* Pytorch 1.9.0+cu111
* Datasets 1.14.0
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-newsroom #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 3
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.12.2
* Pytorch 1.9.0+cu111
* Datasets 1.14.0
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #base_model-google/pegasus-newsroom #autotrain_compatible #endpoints_compatible #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 3
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.12.2
* Pytorch 1.9.0+cu111
* Datasets 1.14.0
* Tokenizers 0.10.3