update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- summarization
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
datasets:
|
| 7 |
+
- wiki_lingua
|
| 8 |
+
model-index:
|
| 9 |
+
- name: AraBART-finetuned-ar-wikilingua
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# AraBART-finetuned-ar-wikilingua
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the wiki_lingua dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 3.9990
|
| 21 |
+
- Rouge-1: 23.82
|
| 22 |
+
- Rouge-2: 8.97
|
| 23 |
+
- Rouge-l: 21.05
|
| 24 |
+
- Gen Len: 19.06
|
| 25 |
+
- Bertscore: 72.08
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 5e-05
|
| 45 |
+
- train_batch_size: 4
|
| 46 |
+
- eval_batch_size: 4
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- lr_scheduler_warmup_steps: 250
|
| 51 |
+
- num_epochs: 8
|
| 52 |
+
- label_smoothing_factor: 0.1
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
|
| 57 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
|
| 58 |
+
| 4.2331 | 1.0 | 5111 | 4.0713 | 21.42 | 7.69 | 19.08 | 18.79 | 71.22 |
|
| 59 |
+
| 3.9438 | 2.0 | 10222 | 4.0251 | 23.1 | 8.63 | 20.59 | 18.41 | 71.86 |
|
| 60 |
+
| 3.7372 | 3.0 | 15333 | 3.9744 | 22.98 | 8.47 | 20.3 | 19.2 | 71.74 |
|
| 61 |
+
| 3.5782 | 4.0 | 20444 | 3.9680 | 23.37 | 8.67 | 20.79 | 18.93 | 71.85 |
|
| 62 |
+
| 3.4509 | 5.0 | 25555 | 3.9643 | 23.42 | 8.85 | 20.71 | 19.33 | 71.88 |
|
| 63 |
+
| 3.3471 | 6.0 | 30666 | 3.9831 | 23.41 | 8.75 | 20.69 | 19.18 | 71.97 |
|
| 64 |
+
| 3.2673 | 7.0 | 35777 | 3.9917 | 23.93 | 9.13 | 21.16 | 19.0 | 72.11 |
|
| 65 |
+
| 3.214 | 8.0 | 40888 | 3.9990 | 23.94 | 9.1 | 21.21 | 19.13 | 72.11 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.18.0
|
| 71 |
+
- Pytorch 1.10.0+cu111
|
| 72 |
+
- Datasets 2.1.0
|
| 73 |
+
- Tokenizers 0.12.1
|