---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart-large-finetuned-question-to-answer
  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-large-finetuned-question-to-answer

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: 0.1153
- Bleu: 42.8973
- Gen Len: 18.69

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.8366        | 1.0   | 516  | 0.3882          | 32.192  | 18.8467 |
| 0.7567        | 2.0   | 1032 | 0.3263          | 34.6627 | 18.8333 |
| 0.6634        | 3.0   | 1548 | 0.2838          | 34.3455 | 18.8567 |
| 0.587         | 4.0   | 2064 | 0.2207          | 37.4365 | 18.8467 |
| 0.5178        | 5.0   | 2580 | 0.2778          | 36.1141 | 19.2267 |
| 0.4555        | 6.0   | 3096 | 0.1872          | 39.1633 | 18.6967 |
| 0.4137        | 7.0   | 3612 | 0.1854          | 39.3042 | 18.98   |
| 0.3672        | 8.0   | 4128 | 0.1543          | 40.8359 | 18.68   |
| 0.331         | 9.0   | 4644 | 0.1548          | 41.0895 | 18.54   |
| 0.3056        | 10.0  | 5160 | 0.1599          | 42.3384 | 18.6767 |
| 0.2762        | 11.0  | 5676 | 0.1508          | 41.1395 | 18.8167 |
| 0.2533        | 12.0  | 6192 | 0.1224          | 42.1233 | 18.7033 |
| 0.2332        | 13.0  | 6708 | 0.1195          | 42.8086 | 18.6967 |
| 0.2209        | 14.0  | 7224 | 0.1158          | 43.0663 | 18.72   |
| 0.21          | 15.0  | 7740 | 0.1153          | 42.8973 | 18.69   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0