---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-dnc-booksum
  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-dnc-booksum

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5809

## 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: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7554        | 0.16  | 150  | 4.3521          |
| 0.3115        | 0.32  | 300  | 4.9631          |
| 0.3536        | 0.48  | 450  | 4.8518          |
| 0.3419        | 0.64  | 600  | 4.8791          |
| 0.2082        | 0.8   | 750  | 5.8989          |
| 0.3123        | 0.97  | 900  | 4.8499          |
| 0.1517        | 1.13  | 1050 | 5.3516          |
| 0.2184        | 1.29  | 1200 | 5.5229          |
| 0.217         | 1.45  | 1350 | 5.7270          |
| 0.1375        | 1.61  | 1500 | 5.5408          |
| 0.1506        | 1.77  | 1650 | 5.3878          |
| 0.1904        | 1.93  | 1800 | 5.0405          |
| 0.0956        | 2.09  | 1950 | 6.0605          |
| 0.0856        | 2.25  | 2100 | 6.1505          |
| 0.1206        | 2.41  | 2250 | 5.4903          |
| 0.0872        | 2.58  | 2400 | 5.4324          |
| 0.1456        | 2.74  | 2550 | 6.1430          |
| 0.0848        | 2.9   | 2700 | 5.3999          |
| 0.079         | 3.06  | 2850 | 6.0992          |
| 0.0706        | 3.22  | 3000 | 6.2144          |
| 0.0768        | 3.38  | 3150 | 6.2338          |
| 0.0643        | 3.54  | 3300 | 6.0533          |
| 0.0576        | 3.7   | 3450 | 5.9912          |
| 0.0859        | 3.86  | 3600 | 6.3768          |
| 0.0615        | 4.02  | 3750 | 6.1106          |
| 0.072         | 4.19  | 3900 | 6.5398          |
| 0.0683        | 4.35  | 4050 | 6.5556          |
| 0.077         | 4.51  | 4200 | 6.6243          |
| 0.0811        | 4.67  | 4350 | 6.5221          |
| 0.0591        | 4.83  | 4500 | 6.5732          |
| 0.0699        | 4.99  | 4650 | 6.5809          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3