---
license: mit
base_model: philschmid/bart-large-cnn-samsum
tags:
- generated_from_trainer
model-index:
- name: bart-original
  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-original

This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co/philschmid/bart-large-cnn-samsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7637

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7047        | 0.99  | 16   | 1.2455          |
| 1.1189        | 1.98  | 32   | 0.8783          |
| 0.9025        | 2.97  | 48   | 0.7032          |
| 0.661         | 3.95  | 64   | 0.6342          |
| 0.7341        | 4.94  | 80   | 0.6271          |
| 0.5526        | 5.99  | 97   | 0.6232          |
| 0.4139        | 6.98  | 113  | 0.6405          |
| 0.518         | 7.97  | 129  | 0.6887          |
| 0.3311        | 8.96  | 145  | 0.7313          |
| 0.196         | 9.88  | 160  | 0.7637          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3