File size: 2,363 Bytes
d392f1b |
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 |
---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: AraBART-finetuned-ar-wikilingua
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. -->
# AraBART-finetuned-ar-wikilingua
This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the wiki_lingua dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9990
- Rouge-1: 23.82
- Rouge-2: 8.97
- Rouge-l: 21.05
- Gen Len: 19.06
- Bertscore: 72.08
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 8
- label_smoothing_factor: 0.1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
| 4.2331 | 1.0 | 5111 | 4.0713 | 21.42 | 7.69 | 19.08 | 18.79 | 71.22 |
| 3.9438 | 2.0 | 10222 | 4.0251 | 23.1 | 8.63 | 20.59 | 18.41 | 71.86 |
| 3.7372 | 3.0 | 15333 | 3.9744 | 22.98 | 8.47 | 20.3 | 19.2 | 71.74 |
| 3.5782 | 4.0 | 20444 | 3.9680 | 23.37 | 8.67 | 20.79 | 18.93 | 71.85 |
| 3.4509 | 5.0 | 25555 | 3.9643 | 23.42 | 8.85 | 20.71 | 19.33 | 71.88 |
| 3.3471 | 6.0 | 30666 | 3.9831 | 23.41 | 8.75 | 20.69 | 19.18 | 71.97 |
| 3.2673 | 7.0 | 35777 | 3.9917 | 23.93 | 9.13 | 21.16 | 19.0 | 72.11 |
| 3.214 | 8.0 | 40888 | 3.9990 | 23.94 | 9.1 | 21.21 | 19.13 | 72.11 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
|