---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-eli5_base_best
  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-finetuned-eli5_base_best

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1849

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3965        | 0.1   | 500   | 1.2495          |
| 1.3676        | 0.2   | 1000  | 1.2362          |
| 1.3024        | 0.3   | 1500  | 1.2294          |
| 1.2331        | 0.4   | 2000  | 1.2301          |
| 1.2476        | 0.5   | 2500  | 1.2266          |
| 1.2049        | 0.6   | 3000  | 1.2202          |
| 1.1811        | 0.7   | 3500  | 1.2857          |
| 1.2227        | 0.8   | 4000  | 1.2702          |
| 1.2629        | 0.9   | 4500  | 1.2206          |
| 1.1233        | 1.0   | 5000  | 1.2187          |
| 1.1995        | 1.1   | 5500  | 1.1957          |
| 1.0835        | 1.2   | 6000  | 1.2026          |
| 1.1033        | 1.3   | 6500  | 1.2250          |
| 1.127         | 1.4   | 7000  | 1.2091          |
| 1.0964        | 1.5   | 7500  | 1.1929          |
| 1.1321        | 1.6   | 8000  | 1.1827          |
| 1.051         | 1.7   | 8500  | 1.1791          |
| 1.054         | 1.8   | 9000  | 1.1926          |
| 1.0034        | 1.9   | 9500  | 1.1769          |
| 1.0645        | 2.0   | 10000 | 1.1849          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0