joheras commited on
Commit
f32fa76
1 Parent(s): af6fbf2

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +36 -14
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 2.3080
21
- - Rouge1: 30.493
22
- - Rouge2: 15.6893
23
- - Rougel: 26.8862
24
- - Rougelsum: 26.912
25
 
26
  ## Model description
27
 
@@ -46,20 +46,42 @@ 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: 8
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
- | No log | 1.0 | 190 | 3.2218 | 18.2868 | 7.2715 | 16.1223 | 16.4758 |
56
- | No log | 2.0 | 380 | 2.5984 | 22.723 | 11.054 | 20.6104 | 20.5809 |
57
- | 7.1737 | 3.0 | 570 | 2.4510 | 29.0855 | 14.5467 | 25.516 | 25.5461 |
58
- | 7.1737 | 4.0 | 760 | 2.3834 | 29.5966 | 14.9256 | 26.0424 | 26.0825 |
59
- | 3.3012 | 5.0 | 950 | 2.3490 | 30.0213 | 15.2307 | 26.3306 | 26.3528 |
60
- | 3.3012 | 6.0 | 1140 | 2.3250 | 30.1084 | 15.1684 | 26.4745 | 26.4574 |
61
- | 3.3012 | 7.0 | 1330 | 2.3139 | 30.5785 | 15.7414 | 26.9835 | 27.0047 |
62
- | 3.0426 | 8.0 | 1520 | 2.3080 | 30.493 | 15.6893 | 26.8862 | 26.912 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
63
 
64
 
65
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.9850
21
+ - Rouge1: 33.0363
22
+ - Rouge2: 19.0613
23
+ - Rougel: 30.295
24
+ - Rougelsum: 30.2898
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: 30
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
+ | No log | 1.0 | 190 | 3.0286 | 18.0709 | 7.727 | 16.1995 | 16.3348 |
56
+ | No log | 2.0 | 380 | 2.4754 | 24.9167 | 13.0501 | 22.3889 | 22.4724 |
57
+ | 6.79 | 3.0 | 570 | 2.3542 | 29.9908 | 15.9829 | 26.3751 | 26.4343 |
58
+ | 6.79 | 4.0 | 760 | 2.2894 | 30.4435 | 16.3176 | 27.1801 | 27.1926 |
59
+ | 3.1288 | 5.0 | 950 | 2.2440 | 30.8602 | 16.8033 | 27.8195 | 27.8355 |
60
+ | 3.1288 | 6.0 | 1140 | 2.1772 | 31.4202 | 17.3253 | 28.3394 | 28.3699 |
61
+ | 3.1288 | 7.0 | 1330 | 2.1584 | 31.5591 | 17.7302 | 28.618 | 28.6189 |
62
+ | 2.7919 | 8.0 | 1520 | 2.1286 | 31.6211 | 17.7423 | 28.7218 | 28.7462 |
63
+ | 2.7919 | 9.0 | 1710 | 2.1031 | 31.9724 | 18.017 | 29.0754 | 29.0744 |
64
+ | 2.6007 | 10.0 | 1900 | 2.0947 | 32.1588 | 18.2474 | 29.2957 | 29.2956 |
65
+ | 2.6007 | 11.0 | 2090 | 2.0914 | 32.4959 | 18.4197 | 29.6052 | 29.609 |
66
+ | 2.6007 | 12.0 | 2280 | 2.0726 | 32.6673 | 18.8962 | 29.9145 | 29.9122 |
67
+ | 2.4911 | 13.0 | 2470 | 2.0487 | 32.4461 | 18.6804 | 29.6224 | 29.6274 |
68
+ | 2.4911 | 14.0 | 2660 | 2.0436 | 32.8393 | 19.0315 | 30.1024 | 30.1097 |
69
+ | 2.4168 | 15.0 | 2850 | 2.0229 | 32.8235 | 18.9549 | 30.0699 | 30.0605 |
70
+ | 2.4168 | 16.0 | 3040 | 2.0253 | 32.8584 | 18.8602 | 30.0582 | 30.0712 |
71
+ | 2.4168 | 17.0 | 3230 | 2.0177 | 32.7145 | 18.9059 | 30.0436 | 30.0771 |
72
+ | 2.3452 | 18.0 | 3420 | 2.0151 | 32.6874 | 18.8339 | 29.9739 | 30.0004 |
73
+ | 2.3452 | 19.0 | 3610 | 2.0138 | 32.516 | 18.6562 | 29.7823 | 29.7951 |
74
+ | 2.302 | 20.0 | 3800 | 2.0085 | 32.8117 | 18.8208 | 30.0902 | 30.1282 |
75
+ | 2.302 | 21.0 | 3990 | 2.0043 | 32.7633 | 18.8364 | 30.0619 | 30.0781 |
76
+ | 2.302 | 22.0 | 4180 | 1.9972 | 32.9786 | 19.0354 | 30.2166 | 30.2286 |
77
+ | 2.2641 | 23.0 | 4370 | 1.9927 | 33.0222 | 19.0501 | 30.2716 | 30.2951 |
78
+ | 2.2641 | 24.0 | 4560 | 1.9905 | 32.9557 | 18.9958 | 30.1988 | 30.2004 |
79
+ | 2.2366 | 25.0 | 4750 | 1.9897 | 33.0429 | 18.9806 | 30.2861 | 30.3012 |
80
+ | 2.2366 | 26.0 | 4940 | 1.9850 | 33.047 | 19.118 | 30.3437 | 30.3368 |
81
+ | 2.2366 | 27.0 | 5130 | 1.9860 | 33.0736 | 19.0805 | 30.3311 | 30.3476 |
82
+ | 2.2157 | 28.0 | 5320 | 1.9870 | 33.0698 | 19.0649 | 30.2959 | 30.3093 |
83
+ | 2.2157 | 29.0 | 5510 | 1.9844 | 33.0376 | 19.0397 | 30.299 | 30.2839 |
84
+ | 2.2131 | 30.0 | 5700 | 1.9850 | 33.0363 | 19.0613 | 30.295 | 30.2898 |
85
 
86
 
87
  ### Framework versions