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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bart-base-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-base-finetuned-question-to-answer
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0108
- Bleu: 59.1046
- Gen Len: 20.0
## 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: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.559 | 1.0 | 516 | 0.6275 | 5.9858 | 18.5 |
| 2.3757 | 2.0 | 1032 | 0.5381 | 6.9001 | 18.4 |
| 2.1938 | 3.0 | 1548 | 0.5004 | 9.2119 | 17.8 |
| 2.0192 | 4.0 | 2064 | 0.3875 | 19.4081 | 18.1 |
| 1.8823 | 5.0 | 2580 | 0.3911 | 23.1245 | 18.2 |
| 1.7773 | 6.0 | 3096 | 0.3360 | 35.602 | 19.1 |
| 1.6561 | 7.0 | 3612 | 0.3018 | 22.9533 | 17.6 |
| 1.5494 | 8.0 | 4128 | 0.2970 | 32.4812 | 19.2 |
| 1.4596 | 9.0 | 4644 | 0.2351 | 46.2092 | 19.9 |
| 1.3723 | 10.0 | 5160 | 0.2382 | 42.1352 | 19.4 |
| 1.3056 | 11.0 | 5676 | 0.2203 | 43.1825 | 19.5 |
| 1.2302 | 12.0 | 6192 | 0.2005 | 38.4359 | 19.4 |
| 1.1611 | 13.0 | 6708 | 0.1694 | 43.435 | 19.5 |
| 1.0921 | 14.0 | 7224 | 0.1600 | 46.2221 | 19.5 |
| 1.0521 | 15.0 | 7740 | 0.1365 | 43.6428 | 19.5 |
| 0.9797 | 16.0 | 8256 | 0.1229 | 47.1793 | 19.5 |
| 0.9153 | 17.0 | 8772 | 0.1048 | 53.0445 | 20.0 |
| 0.8932 | 18.0 | 9288 | 0.1171 | 53.0445 | 20.0 |
| 0.8507 | 19.0 | 9804 | 0.0954 | 48.5863 | 18.9 |
| 0.7885 | 20.0 | 10320 | 0.0794 | 53.5876 | 19.0 |
| 0.7645 | 21.0 | 10836 | 0.0769 | 52.3334 | 18.9 |
| 0.7204 | 22.0 | 11352 | 0.0701 | 48.3328 | 18.9 |
| 0.685 | 23.0 | 11868 | 0.0576 | 52.7649 | 19.2 |
| 0.6524 | 24.0 | 12384 | 0.0521 | 54.2149 | 19.4 |
| 0.6302 | 25.0 | 12900 | 0.0486 | 54.2149 | 19.4 |
| 0.5926 | 26.0 | 13416 | 0.0408 | 59.1046 | 20.0 |
| 0.5701 | 27.0 | 13932 | 0.0419 | 48.1233 | 18.8 |
| 0.5483 | 28.0 | 14448 | 0.0418 | 54.0129 | 19.3 |
| 0.5271 | 29.0 | 14964 | 0.0314 | 59.1046 | 20.0 |
| 0.501 | 30.0 | 15480 | 0.0283 | 59.1046 | 20.0 |
| 0.4821 | 31.0 | 15996 | 0.0316 | 57.5434 | 19.7 |
| 0.4474 | 32.0 | 16512 | 0.0296 | 57.5434 | 19.7 |
| 0.4328 | 33.0 | 17028 | 0.0229 | 57.2181 | 19.7 |
| 0.4171 | 34.0 | 17544 | 0.0212 | 57.5434 | 19.7 |
| 0.4051 | 35.0 | 18060 | 0.0194 | 59.1046 | 20.0 |
| 0.3924 | 36.0 | 18576 | 0.0161 | 59.1046 | 20.0 |
| 0.3783 | 37.0 | 19092 | 0.0155 | 59.1046 | 20.0 |
| 0.3695 | 38.0 | 19608 | 0.0149 | 59.1046 | 20.0 |
| 0.3626 | 39.0 | 20124 | 0.0140 | 59.1046 | 20.0 |
| 0.3492 | 40.0 | 20640 | 0.0147 | 59.1046 | 20.0 |
| 0.3446 | 41.0 | 21156 | 0.0140 | 59.1046 | 20.0 |
| 0.3377 | 42.0 | 21672 | 0.0125 | 59.1046 | 20.0 |
| 0.3265 | 43.0 | 22188 | 0.0122 | 59.1046 | 20.0 |
| 0.3213 | 44.0 | 22704 | 0.0118 | 59.1046 | 20.0 |
| 0.3154 | 45.0 | 23220 | 0.0116 | 59.1046 | 20.0 |
| 0.3146 | 46.0 | 23736 | 0.0113 | 59.1046 | 20.0 |
| 0.3077 | 47.0 | 24252 | 0.0107 | 59.1046 | 20.0 |
| 0.304 | 48.0 | 24768 | 0.0109 | 59.1046 | 20.0 |
| 0.3063 | 49.0 | 25284 | 0.0107 | 59.1046 | 20.0 |
| 0.2998 | 50.0 | 25800 | 0.0108 | 59.1046 | 20.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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