Jezia commited on
Commit
ac26cd4
1 Parent(s): 326705b

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +10 -9
README.md CHANGED
@@ -14,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # AraBART-finetuned-wiki-ar
16
 
17
- This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the https://huggingface.co/datasets/arbml/wiki_lingua_ar dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.6184
20
- - Rouge1: 0.87
21
- - Rouge2: 0.1157
22
- - Rougel: 0.8635
23
- - Rougelsum: 0.8783
24
- - Gen Len: 19.3131
25
 
26
  ## Model description
27
 
@@ -46,14 +46,15 @@ The following hyperparameters were used during training:
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
- - num_epochs: 1
50
  - mixed_precision_training: Native AMP
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
56
- | 2.9386 | 1.0 | 2556 | 2.6184 | 0.87 | 0.1157 | 0.8635 | 0.8783 | 19.3131 |
 
57
 
58
 
59
  ### Framework versions
 
14
 
15
  # AraBART-finetuned-wiki-ar
16
 
17
+ This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 2.5303
20
+ - Rouge1: 0.8349
21
+ - Rouge2: 0.1707
22
+ - Rougel: 0.8186
23
+ - Rougelsum: 0.8309
24
+ - Gen Len: 19.3457
25
 
26
  ## Model description
27
 
 
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
49
+ - num_epochs: 2
50
  - mixed_precision_training: Native AMP
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
56
+ | 2.8893 | 1.0 | 2556 | 2.5764 | 0.7631 | 0.1592 | 0.7567 | 0.7608 | 19.2665 |
57
+ | 2.7276 | 2.0 | 5112 | 2.5303 | 0.8349 | 0.1707 | 0.8186 | 0.8309 | 19.3457 |
58
 
59
 
60
  ### Framework versions