---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: BART-finetuned-on-training-knowledge
  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-on-training-knowledge

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: 2.5236
- Bleu: 3.9928
- Gen Len: 19.3964

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 2.4789        | 1.0   | 1679  | 2.2752          | 2.7071 | 19.0929 |
| 2.1071        | 2.0   | 3358  | 2.2473          | 3.2957 | 19.5661 |
| 1.7995        | 3.0   | 5037  | 2.2643          | 3.4993 | 19.0268 |
| 1.5704        | 4.0   | 6716  | 2.3137          | 3.5091 | 19.4946 |
| 1.3954        | 5.0   | 8395  | 2.3795          | 3.7311 | 19.6589 |
| 1.223         | 6.0   | 10074 | 2.4577          | 3.874  | 19.3554 |
| 1.1262        | 7.0   | 11753 | 2.5236          | 3.9928 | 19.3964 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.14.1