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# distilbart-cnn-arxiv-pubmed-v3-e16

This model is a fine-tuned version of [theojolliffe/distilbart-cnn-arxiv-pubmed](https://huggingface.co/theojolliffe/distilbart-cnn-arxiv-pubmed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8502
- Rouge1: 57.1726
- Rouge2: 42.87
- Rougel: 44.7485
- Rougelsum: 55.6955
- Gen Len: 141.5926

## 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: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.4961        | 1.0   | 795   | 1.0907          | 53.2509 | 33.4232 | 34.4499 | 50.987    | 142.0    |
| 0.8874        | 2.0   | 1590  | 0.9408          | 52.9708 | 34.499  | 36.537  | 50.3924   | 140.4074 |
| 0.6994        | 3.0   | 2385  | 0.8731          | 53.4488 | 34.2476 | 37.4579 | 51.1979   | 142.0    |
| 0.4883        | 4.0   | 3180  | 0.8521          | 53.5463 | 34.7519 | 37.8143 | 51.106    | 142.0    |
| 0.3923        | 5.0   | 3975  | 0.8227          | 53.3556 | 35.0361 | 37.1719 | 50.9195   | 141.2222 |
| 0.2727        | 6.0   | 4770  | 0.8323          | 54.8422 | 37.333  | 39.6388 | 52.2975   | 141.8148 |
| 0.2158        | 7.0   | 5565  | 0.8252          | 54.0343 | 36.0109 | 38.34   | 51.6282   | 142.0    |
| 0.1734        | 8.0   | 6360  | 0.7985          | 54.9597 | 38.283  | 41.0033 | 52.9537   | 142.0    |
| 0.1366        | 9.0   | 7155  | 0.8112          | 56.315  | 40.3948 | 42.2944 | 54.3719   | 142.0    |
| 0.1275        | 10.0  | 7950  | 0.8238          | 55.8688 | 39.4747 | 43.0286 | 53.9269   | 142.0    |
| 0.0978        | 11.0  | 8745  | 0.8345          | 54.9934 | 40.0148 | 42.2721 | 53.324    | 142.0    |
| 0.0738        | 12.0  | 9540  | 0.8322          | 56.3862 | 41.4322 | 44.1406 | 54.4768   | 142.0    |
| 0.0688        | 13.0  | 10335 | 0.8384          | 55.9261 | 40.7102 | 43.5825 | 54.2394   | 142.0    |
| 0.0587        | 14.0  | 11130 | 0.8435          | 56.8475 | 41.7188 | 44.0671 | 54.9813   | 142.0    |
| 0.0529        | 15.0  | 11925 | 0.8476          | 57.4678 | 42.3804 | 45.4776 | 55.746    | 142.0    |
| 0.0469        | 16.0  | 12720 | 0.8502          | 57.1726 | 42.87   | 44.7485 | 55.6955   | 141.5926 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "distilbart-cnn-arxiv-pubmed-v3-e16", "results": []}]}
transformers pytorch tensorboard bart text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

distilbart-cnn-arxiv-pubmed-v3-e16
==================================


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


* Loss: 0.8502
* Rouge1: 57.1726
* Rouge2: 42.87
* Rougel: 44.7485
* Rougelsum: 55.6955
* Gen Len: 141.5926


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: 16
* 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: 16
* 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 #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #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: 16
* 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 #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #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: 16
* 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