Hugging Face's logo

apwic
/
liputan6-seq_bn-rf64

Indonesian
Generated from Trainer
Eval Results
Model card Files Community
apwic commited on
Commit
ee8da95
•
1 Parent(s): 5660f6d

Model save

Browse files
Files changed (2) hide show
  1. README.md +13 -28
  2. adapter-summarization/pytorch_adapter.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
1
  ---
2
- language:
3
- - id
4
  license: apache-2.0
5
  base_model: LazarusNLP/IndoNanoT5-base
6
  tags:
@@ -11,20 +9,7 @@ metrics:
11
  - rouge
12
  model-index:
13
  - name: liputan6-seq_bn-rf64
14
- results:
15
- - task:
16
- name: Summarization
17
- type: summarization
18
- dataset:
19
- name: id_liputan6 canonical
20
- type: id_liputan6
21
- config: canonical
22
- split: validation
23
- args: canonical
24
- metrics:
25
- - name: Rouge1
26
- type: rouge
27
- value: 25.4752
28
  ---
29
 
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  # liputan6-seq_bn-rf64
34
 
35
- This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 canonical dataset.
36
  It achieves the following results on the evaluation set:
37
- - Loss: 2.7425
38
- - Rouge1: 25.4752
39
- - Rouge2: 11.3075
40
- - Rougel: 21.8512
41
- - Rougelsum: 23.007
42
- - Gen Len: 41.252
43
 
44
  ## Model description
45
 
@@ -70,11 +55,11 @@ The following hyperparameters were used during training:
70
 
71
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
72
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
73
- | 2.7121 | 1.0 | 63 | 2.7515 | 24.5986 | 10.2547 | 20.7138 | 22.4882 | 33.171 |
74
- | 2.3483 | 2.0 | 126 | 2.7425 | 25.6586 | 10.7898 | 21.7223 | 23.503 | 33.715 |
75
- | 2.2546 | 3.0 | 189 | 2.6605 | 24.6676 | 10.1646 | 20.9376 | 22.7405 | 29.451 |
76
- | 2.1725 | 4.0 | 252 | 2.7043 | 25.3421 | 10.5863 | 21.3692 | 23.2586 | 30.896 |
77
- | 2.1135 | 5.0 | 315 | 2.7079 | 24.9923 | 10.432 | 21.1505 | 22.9477 | 32.451 |
78
 
79
 
80
  ### Framework versions
 
1
  ---
 
 
2
  license: apache-2.0
3
  base_model: LazarusNLP/IndoNanoT5-base
4
  tags:
 
9
  - rouge
10
  model-index:
11
  - name: liputan6-seq_bn-rf64
12
+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  ---
14
 
15
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
17
 
18
  # liputan6-seq_bn-rf64
19
 
20
+ This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.2748
23
+ - Rouge1: 43.7351
24
+ - Rouge2: 34.936
25
+ - Rougel: 40.0408
26
+ - Rougelsum: 42.3437
27
+ - Gen Len: 58.611
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
57
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
58
+ | 1.1116 | 1.0 | 63 | 0.3953 | 39.3374 | 31.1269 | 36.447 | 37.9075 | 49.406 |
59
+ | 0.5774 | 2.0 | 126 | 0.3309 | 43.6615 | 34.9524 | 40.0101 | 42.2478 | 55.7 |
60
+ | 0.4729 | 3.0 | 189 | 0.2864 | 41.4092 | 32.5453 | 37.9684 | 39.9099 | 52.999 |
61
+ | 0.4209 | 4.0 | 252 | 0.2845 | 43.3834 | 34.6436 | 39.8104 | 41.9569 | 56.612 |
62
+ | 0.3931 | 5.0 | 315 | 0.2748 | 43.7351 | 34.936 | 40.0408 | 42.3437 | 58.611 |
63
 
64
 
65
  ### Framework versions
adapter-summarization/pytorch_adapter.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:19ce285f8183f8a1f5c6de89d7759fb9c85062f7939a3775ca7c035a64eeaf6f
3
  size 1879958
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:84bd4a60a19aabe2845e5c859053fac60cbd1e933d47154d3d02dcc864668747
3
  size 1879958