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: bart-base-samsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-samsum

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5834
- Rouge1: 47.552
- Rouge2: 24.8542
- Rougel: 40.56
- Rougelsum: 44.3423
- Gen Len: 17.8337

## 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: 8e-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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8884        | 1.0   | 1841 | 1.6325          | 47.0402 | 24.1542 | 39.6427 | 43.8472   | 18.5941 |
| 1.5081        | 2.0   | 3683 | 1.5834          | 47.552  | 24.8542 | 40.56   | 44.3423   | 17.8337 |
| 1.2216        | 3.0   | 5524 | 1.5855          | 48.2058 | 25.1623 | 40.9023 | 44.2822   | 17.901  |
| 1.0074        | 4.0   | 7366 | 1.6049          | 48.3145 | 25.2348 | 40.8688 | 44.4735   | 18.4829 |
| 0.8544        | 5.0   | 9205 | 1.6455          | 48.5926 | 25.3142 | 40.9144 | 44.6577   | 18.3924 |


### Framework versions

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