transformers pytorch tensorboard bart text2text-generation generated_from_trainer dataset:multi_news license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- multi_news
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: news-summarization-big-data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# news-summarization-big-data

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the multi_news dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3469

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8084        | 0.18  | 500  | 2.5659          |
| 2.7712        | 0.36  | 1000 | 2.4634          |
| 2.7245        | 0.53  | 1500 | 2.4313          |
| 2.6138        | 0.71  | 2000 | 2.4270          |
| 2.6192        | 0.89  | 2500 | 2.3937          |
| 2.5076        | 1.07  | 3000 | 2.3851          |
| 2.5326        | 1.25  | 3500 | 2.3713          |
| 2.5412        | 1.42  | 4000 | 2.3658          |
| 2.4614        | 1.6   | 4500 | 2.3577          |
| 2.505         | 1.78  | 5000 | 2.3526          |
| 2.4364        | 1.96  | 5500 | 2.3469          |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
