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# bart-base-new-finetuned-arxiv

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the arxiv_summarization_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9456
- Rouge1: 12.5891
- Rouge2: 4.7185
- Rougel: 10.1631
- Rougelsum: 11.6233

## 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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.433         | 1.0   | 403  | 3.0405          | 12.9591 | 4.8638 | 10.377  | 11.94     |
| 3.1155        | 2.0   | 806  | 2.9598          | 12.5926 | 4.7648 | 10.1432 | 11.6224   |
| 2.9888        | 3.0   | 1209 | 2.9456          | 12.5891 | 4.7185 | 10.1631 | 11.6233   |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "datasets": ["arxiv_summarization_dataset"], "metrics": ["rouge"], "model-index": [{"name": "bart-base-new-finetuned-arxiv", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "arxiv_summarization_dataset", "type": "arxiv_summarization_dataset", "config": "section", "split": "test", "args": "section"}, "metrics": [{"type": "rouge", "value": 12.5891, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard bart text2text-generation summarization generated_from_trainer dataset:arxiv_summarization_dataset license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #summarization #generated_from_trainer #dataset-arxiv_summarization_dataset #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 

bart-base-new-finetuned-arxiv
=============================


This model is a fine-tuned version of facebook/bart-base on the arxiv\_summarization\_dataset dataset.
It achieves the following results on the evaluation set:


* Loss: 2.9456
* Rouge1: 12.5891
* Rouge2: 4.7185
* Rougel: 10.1631
* Rougelsum: 11.6233


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: 5.6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3


### Training results



### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #summarization #generated_from_trainer #dataset-arxiv_summarization_dataset #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #summarization #generated_from_trainer #dataset-arxiv_summarization_dataset #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5.6e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 3### Training results### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.0
* Datasets 2.1.0
* Tokenizers 0.13.2