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# distill-pegasus-cnn-arxiv-pubmed-v3-e8

This model is a fine-tuned version of [theojolliffe/distill-pegasus-cnn-arxiv-pubmed](https://huggingface.co/theojolliffe/distill-pegasus-cnn-arxiv-pubmed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6844
- Rouge1: 49.0081
- Rouge2: 30.6784
- Rougel: 33.5258
- Rougelsum: 45.5354
- Gen Len: 125.6852

## 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 2.7633        | 1.0   | 795  | 2.1211          | 48.9615 | 30.3509 | 33.7359 | 44.508    | 124.7963 |
| 2.3051        | 2.0   | 1590 | 1.9464          | 48.6806 | 30.452  | 34.2187 | 44.6379   | 124.6296 |
| 2.2244        | 3.0   | 2385 | 1.8294          | 48.9739 | 30.6717 | 33.605  | 45.0942   | 125.3704 |
| 2.0733        | 4.0   | 3180 | 1.7769          | 49.0049 | 30.8354 | 33.6965 | 44.8603   | 125.7037 |
| 1.9759        | 5.0   | 3975 | 1.7192          | 50.3946 | 32.1072 | 34.5453 | 46.4493   | 125.5741 |
| 1.9478        | 6.0   | 4770 | 1.7037          | 49.4631 | 31.654  | 34.4601 | 46.2376   | 125.5185 |
| 1.9016        | 7.0   | 5565 | 1.6874          | 48.2641 | 29.6354 | 33.1059 | 44.8436   | 125.6852 |
| 1.8882        | 8.0   | 6360 | 1.6844          | 49.0081 | 30.6784 | 33.5258 | 45.5354   | 125.6852 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "distill-pegasus-cnn-arxiv-pubmed-v3-e8", "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 

distill-pegasus-cnn-arxiv-pubmed-v3-e8
======================================


This model is a fine-tuned version of theojolliffe/distill-pegasus-cnn-arxiv-pubmed on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6844
* Rouge1: 49.0081
* Rouge2: 30.6784
* Rougel: 33.5258
* Rougelsum: 45.5354
* Gen Len: 125.6852


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: 8
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1



### 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: 8
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1
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: 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: 8
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1
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: 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: 8
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.11.0+cu113
* Datasets 2.1.0
* Tokenizers 0.12.1