File size: 2,664 Bytes
9186635 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: bart-base-finetuned-amazon-onlyen
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
args: en
metrics:
- name: Rouge1
type: rouge
value: 17.2662
---
<!-- 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-amazon-onlyen
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7572
- Rouge1: 17.2662
- Rouge2: 8.7425
- Rougel: 16.5765
- Rougelsum: 16.6844
## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.9212 | 1.0 | 771 | 2.8034 | 15.381 | 8.5254 | 15.223 | 15.059 |
| 2.3109 | 2.0 | 1542 | 2.8386 | 19.8947 | 11.0965 | 19.4876 | 19.5366 |
| 1.8973 | 3.0 | 2313 | 2.9258 | 17.7443 | 8.9232 | 17.311 | 17.1796 |
| 1.5421 | 4.0 | 3084 | 3.0696 | 17.8204 | 8.8919 | 17.3889 | 17.205 |
| 1.2391 | 5.0 | 3855 | 3.2609 | 15.9828 | 8.0523 | 15.393 | 15.3808 |
| 0.9736 | 6.0 | 4626 | 3.4080 | 15.7572 | 8.806 | 15.2435 | 15.3036 |
| 0.7824 | 7.0 | 5397 | 3.5537 | 18.4389 | 9.5135 | 17.7836 | 17.8758 |
| 0.6233 | 8.0 | 6168 | 3.6909 | 14.6698 | 6.9584 | 13.9417 | 14.0057 |
| 0.5086 | 9.0 | 6939 | 3.7357 | 16.9465 | 7.7604 | 16.1993 | 16.2963 |
| 0.4412 | 10.0 | 7710 | 3.7572 | 17.2662 | 8.7425 | 16.5765 | 16.6844 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
|