transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: finetuned-bart-base-summarization-samsum
  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. -->

# finetuned-bart-base-summarization-samsum

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on Samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3267
- Rouge1: 0.4819
- Rouge2: 0.2513
- Rougel: 0.4074
- Rougelsum: 0.4457

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.3041        | 1.0   | 1841 | 0.3407          | 0.4752 | 0.242  | 0.3996 | 0.438     |
| 0.3184        | 2.0   | 3683 | 0.3274          | 0.4833 | 0.2507 | 0.4081 | 0.4462    |
| 0.2993        | 3.0   | 5523 | 0.3267          | 0.4819 | 0.2513 | 0.4074 | 0.4457    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
