---
language:
- en
license: apache-2.0
base_model: facebook/bart-base
tags:
- summarization
- generated_from_trainer
datasets:
- kdave/Indian_Financial_News
model-index:
- name: bart-base-summarization
  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. -->

# bart-base-summarization

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the News Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5704

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.646         | 0.6594 | 500  | 0.5704          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1