---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart-base-sci-tr
  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-sci-tr

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7617

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5107        | 1.0   | 1393  | 3.0242          |
| 3.1138        | 2.0   | 2786  | 2.8770          |
| 2.9345        | 3.0   | 4179  | 2.8069          |
| 2.8044        | 4.0   | 5572  | 2.7668          |
| 2.7227        | 5.0   | 6965  | 2.7336          |
| 2.6341        | 6.0   | 8358  | 2.7276          |
| 2.5523        | 7.0   | 9751  | 2.7026          |
| 2.4846        | 8.0   | 11144 | 2.6961          |
| 2.4409        | 9.0   | 12537 | 2.6894          |
| 2.3699        | 10.0  | 13930 | 2.6853          |
| 2.3305        | 11.0  | 15323 | 2.6869          |
| 2.2822        | 12.0  | 16716 | 2.6924          |
| 2.2392        | 13.0  | 18109 | 2.7042          |
| 2.1889        | 14.0  | 19502 | 2.6943          |
| 2.1593        | 15.0  | 20895 | 2.6988          |
| 2.1228        | 16.0  | 22288 | 2.7032          |
| 2.0791        | 17.0  | 23681 | 2.7083          |
| 2.0594        | 18.0  | 25074 | 2.7034          |
| 2.0239        | 19.0  | 26467 | 2.7182          |
| 1.9943        | 20.0  | 27860 | 2.7235          |
| 1.9746        | 21.0  | 29253 | 2.7279          |
| 1.9624        | 22.0  | 30646 | 2.7337          |
| 1.9433        | 23.0  | 32039 | 2.7400          |
| 1.9138        | 24.0  | 33432 | 2.7457          |
| 1.8971        | 25.0  | 34825 | 2.7489          |
| 1.8896        | 26.0  | 36218 | 2.7527          |
| 1.873         | 27.0  | 37611 | 2.7576          |
| 1.8585        | 28.0  | 39004 | 2.7577          |
| 1.8564        | 29.0  | 40397 | 2.7594          |
| 1.852         | 30.0  | 41790 | 2.7617          |


### Framework versions

- Transformers 4.43.4
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.19.1