Hugging Face's logo

nandavikas16
/
bart-large-cnn-finetuned-scope-summarization

Text2Text Generation
Transformers
TensorBoard
Safetensors
bart
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
nandavikas16 commited on
Commit
e9ab2c3
•
1 Parent(s): d3b13f3

Model save

Browse files
Files changed (4) hide show
  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/Mar02_22-33-55_n40yshtgh3/events.out.tfevents.1709418841.n40yshtgh3.458.0 +2 -2
  4. runs/Mar02_22-33-55_n40yshtgh3/events.out.tfevents.1709421972.n40yshtgh3.458.1 +3 -0
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 [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.0578
21
- - Rouge1: 74.2613
22
- - Rouge2: 58.7063
23
- - Rougel: 63.9504
24
- - Rougelsum: 64.1404
25
 
26
  ## Model description
27
 
@@ -52,26 +52,26 @@ The following hyperparameters were used during training:
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
- | 0.8985 | 1.0 | 48 | 0.6541 | 46.8501 | 29.7327 | 36.488 | 36.5549 |
56
- | 0.6225 | 2.0 | 96 | 0.5766 | 53.306 | 34.1262 | 40.0055 | 39.8306 |
57
- | 0.5508 | 3.0 | 144 | 0.5222 | 55.9759 | 36.614 | 41.5281 | 41.4843 |
58
- | 0.4963 | 4.0 | 192 | 0.4711 | 57.6183 | 37.4078 | 42.6881 | 42.7515 |
59
- | 0.4517 | 5.0 | 240 | 0.4193 | 59.2425 | 39.9758 | 42.3079 | 42.2173 |
60
- | 0.4021 | 6.0 | 288 | 0.3792 | 59.5026 | 41.3313 | 46.1961 | 46.0462 |
61
- | 0.3672 | 7.0 | 336 | 0.3145 | 62.5542 | 44.3172 | 48.4545 | 48.421 |
62
- | 0.3153 | 8.0 | 384 | 0.2816 | 63.8301 | 46.3536 | 50.2103 | 50.1203 |
63
- | 0.268 | 9.0 | 432 | 0.2598 | 64.191 | 47.4322 | 51.7505 | 51.8051 |
64
- | 0.2159 | 10.0 | 480 | 0.2041 | 67.4345 | 49.7921 | 53.84 | 53.9574 |
65
- | 0.1714 | 11.0 | 528 | 0.1416 | 68.2944 | 51.3248 | 56.1006 | 56.0528 |
66
- | 0.1257 | 12.0 | 576 | 0.0961 | 69.7701 | 53.5417 | 58.2727 | 58.2473 |
67
- | 0.0991 | 13.0 | 624 | 0.0717 | 69.9164 | 53.6164 | 59.4382 | 59.518 |
68
- | 0.0699 | 14.0 | 672 | 0.0675 | 71.3498 | 55.64 | 60.2844 | 60.4973 |
69
- | 0.0526 | 15.0 | 720 | 0.0814 | 72.2287 | 56.8939 | 60.9719 | 61.2308 |
70
- | 0.0408 | 16.0 | 768 | 0.0843 | 71.7777 | 57.1413 | 62.0411 | 61.9723 |
71
- | 0.0315 | 17.0 | 816 | 0.0525 | 72.5746 | 57.5505 | 61.6754 | 61.8729 |
72
- | 0.0237 | 18.0 | 864 | 0.0542 | 72.0154 | 56.9233 | 61.3044 | 61.4721 |
73
- | 0.0187 | 19.0 | 912 | 0.0573 | 73.4681 | 58.9845 | 64.4143 | 64.5341 |
74
- | 0.0157 | 20.0 | 960 | 0.0578 | 74.2613 | 58.7063 | 63.9504 | 64.1404 |
75
 
76
 
77
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0440
21
+ - Rouge1: 71.9228
22
+ - Rouge2: 55.9885
23
+ - Rougel: 63.9261
24
+ - Rougelsum: 63.9399
25
 
26
  ## Model description
27
 
 
52
 
53
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
54
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
55
+ | 0.9018 | 1.0 | 43 | 0.6756 | 50.3755 | 30.7155 | 38.6179 | 38.6264 |
56
+ | 0.6245 | 2.0 | 86 | 0.5850 | 51.4445 | 31.9585 | 39.4968 | 39.5228 |
57
+ | 0.5542 | 3.0 | 129 | 0.4953 | 57.8006 | 38.5407 | 44.1007 | 44.1212 |
58
+ | 0.4924 | 4.0 | 172 | 0.4465 | 59.3159 | 39.8881 | 44.3422 | 44.4364 |
59
+ | 0.4471 | 5.0 | 215 | 0.4068 | 60.2098 | 41.0154 | 46.7304 | 46.8042 |
60
+ | 0.4022 | 6.0 | 258 | 0.3936 | 63.0134 | 43.8191 | 47.7963 | 47.7634 |
61
+ | 0.3591 | 7.0 | 301 | 0.3147 | 60.7072 | 41.4999 | 47.0323 | 46.9748 |
62
+ | 0.3147 | 8.0 | 344 | 0.2828 | 63.5097 | 44.1285 | 50.2938 | 50.3711 |
63
+ | 0.2675 | 9.0 | 387 | 0.2310 | 65.7933 | 48.403 | 53.5596 | 53.644 |
64
+ | 0.2128 | 10.0 | 430 | 0.1637 | 65.7322 | 47.6943 | 53.5761 | 53.4632 |
65
+ | 0.1631 | 11.0 | 473 | 0.1270 | 68.0034 | 49.3799 | 56.526 | 56.604 |
66
+ | 0.1252 | 12.0 | 516 | 0.0753 | 67.5687 | 49.2524 | 54.2558 | 54.3242 |
67
+ | 0.0928 | 13.0 | 559 | 0.0909 | 70.9444 | 54.1944 | 60.1015 | 60.1451 |
68
+ | 0.0686 | 14.0 | 602 | 0.0673 | 71.0886 | 54.3136 | 61.369 | 61.235 |
69
+ | 0.0522 | 15.0 | 645 | 0.0627 | 71.1362 | 53.5389 | 60.8795 | 60.9924 |
70
+ | 0.0398 | 16.0 | 688 | 0.0463 | 68.818 | 51.7116 | 58.7056 | 58.7268 |
71
+ | 0.0321 | 17.0 | 731 | 0.0397 | 73.1967 | 57.5225 | 65.6753 | 65.6779 |
72
+ | 0.0249 | 18.0 | 774 | 0.0436 | 73.2201 | 56.8754 | 65.0215 | 65.0161 |
73
+ | 0.0189 | 19.0 | 817 | 0.0446 | 73.9096 | 58.3484 | 65.6389 | 65.6056 |
74
+ | 0.0155 | 20.0 | 860 | 0.0440 | 71.9228 | 55.9885 | 63.9261 | 63.9399 |
75
 
76
 
77
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ded04847d7038a8ed389ac32e3703a286229899f0be57d5b162b6b2b1050cb67
3
  size 1625422896
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e97cc67775ee890ee47bd83498c43e4c95c67aa7ee95e56125de918119467f3
3
  size 1625422896
runs/Mar02_22-33-55_n40yshtgh3/events.out.tfevents.1709418841.n40yshtgh3.458.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b72bb84c0ab27ad0fed850089983eb11b02444e777165cc43522ab310eec4c33
3
- size 13305
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44dc1a69b24fcd3c901542be42b617fe0df530fc71d932ee946445fd83fa93d2
3
+ size 19824
runs/Mar02_22-33-55_n40yshtgh3/events.out.tfevents.1709421972.n40yshtgh3.458.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf9db07ffa7404687547f2d128e665592567956ea64fb0189ceb4346d3dfafb4
3
+ size 514