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# pegasus-cnn_dailymail-v4-e1-e4-feedback

This model is a fine-tuned version of [theojolliffe/pegasus-cnn_dailymail-v4-e1](https://huggingface.co/theojolliffe/pegasus-cnn_dailymail-v4-e1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1815
- Rouge1: 59.7329
- Rouge2: 42.429
- Rougel: 53.5945
- Rougelsum: 52.9219
- Gen Len: 37.8636

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 90   | 5.5674          | 60.4652 | 43.8057 | 54.5759 | 52.5243   | 39.5    |
| No log        | 2.0   | 180  | 5.3261          | 60.248  | 43.9953 | 54.9492 | 53.6372   | 38.6364 |
| No log        | 3.0   | 270  | 5.2167          | 60.4887 | 43.6915 | 54.3825 | 53.5206   | 37.1364 |
| No log        | 4.0   | 360  | 5.1815          | 59.7329 | 42.429  | 53.5945 | 52.9219   | 37.8636 |


### Framework versions

- Transformers 4.12.3
- Pytorch 1.9.0
- Datasets 1.18.0
- Tokenizers 0.10.3

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "pegasus-cnn_dailymail-v4-e1-e4-feedback", "results": []}]}
transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

pegasus-cnn\_dailymail-v4-e1-e4-feedback
========================================


This model is a fine-tuned version of theojolliffe/pegasus-cnn\_dailymail-v4-e1 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 5.1815
* Rouge1: 59.7329
* Rouge2: 42.429
* Rougel: 53.5945
* Rougelsum: 52.9219
* Gen Len: 37.8636


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: 4


### Training results



### Framework versions


* Transformers 4.12.3
* Pytorch 1.9.0
* Datasets 1.18.0
* Tokenizers 0.10.3



### 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: 4 ### Training results ### Framework versions


* Transformers 4.12.3
* Pytorch 1.9.0
* Datasets 1.18.0
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #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: 4 ### Training results ### Framework versions


* Transformers 4.12.3
* Pytorch 1.9.0
* Datasets 1.18.0
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #pegasus #text2text-generation #generated_from_trainer #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: 4### Training results### Framework versions


* Transformers 4.12.3
* Pytorch 1.9.0
* Datasets 1.18.0
* Tokenizers 0.10.3