Hugging Face's logo

tanatapanun
/
fine-tuned-bart-2048-30-epochs

Text2Text Generation
Transformers
TensorBoard
Safetensors
bart
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
tanatapanun commited on
Commit
a47fb62
•
1 Parent(s): cbf54f0

Model save

Browse files
Files changed (4) hide show
  1. README.md +47 -2
  2. generation_config.json +0 -1
  3. model.safetensors +1 -1
  4. runs/Dec21_22-43-01_william-gpu-3090-10-rxldr/events.out.tfevents.1703198582.william-gpu-3090-10-rxldr.120708.2 +2 -2
README.md CHANGED
@@ -1,8 +1,10 @@
1
  ---
2
  license: apache-2.0
3
- base_model: facebook/bart-large
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: fine-tuned-bart-2084-30-epochs
8
  results: []
@@ -13,7 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # fine-tuned-bart-2084-30-epochs
15
 
16
- This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
 
 
 
 
 
 
 
17
 
18
  ## Model description
19
 
@@ -40,6 +49,42 @@ The following hyperparameters were used during training:
40
  - lr_scheduler_type: linear
41
  - num_epochs: 30
42
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
43
  ### Framework versions
44
 
45
  - Transformers 4.36.2
 
1
  ---
2
  license: apache-2.0
3
+ base_model: facebook/bart-base
4
  tags:
5
  - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
  model-index:
9
  - name: fine-tuned-bart-2084-30-epochs
10
  results: []
 
15
 
16
  # fine-tuned-bart-2084-30-epochs
17
 
18
+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.8935
21
+ - Rouge1: 0.3436
22
+ - Rouge2: 0.1382
23
+ - Rougel: 0.3044
24
+ - Rougelsum: 0.3016
25
+ - Gen Len: 15.33
26
 
27
  ## Model description
28
 
 
49
  - lr_scheduler_type: linear
50
  - num_epochs: 30
51
 
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
55
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
56
+ | No log | 1.0 | 301 | 0.7890 | 0.2453 | 0.0875 | 0.2145 | 0.2161 | 14.83 |
57
+ | 1.8096 | 2.0 | 602 | 0.7325 | 0.2259 | 0.0793 | 0.1953 | 0.1953 | 13.6 |
58
+ | 1.8096 | 3.0 | 903 | 0.7239 | 0.2872 | 0.0985 | 0.2567 | 0.2559 | 14.63 |
59
+ | 0.6874 | 4.0 | 1204 | 0.7236 | 0.3302 | 0.1232 | 0.2922 | 0.2916 | 13.89 |
60
+ | 0.5882 | 5.0 | 1505 | 0.7257 | 0.3129 | 0.1167 | 0.2778 | 0.2775 | 14.95 |
61
+ | 0.5882 | 6.0 | 1806 | 0.7218 | 0.3269 | 0.1251 | 0.2957 | 0.2946 | 15.14 |
62
+ | 0.4982 | 7.0 | 2107 | 0.7403 | 0.3029 | 0.1114 | 0.2708 | 0.27 | 14.94 |
63
+ | 0.4982 | 8.0 | 2408 | 0.7417 | 0.3113 | 0.12 | 0.2762 | 0.2756 | 14.17 |
64
+ | 0.4299 | 9.0 | 2709 | 0.7470 | 0.3164 | 0.1274 | 0.2853 | 0.283 | 14.42 |
65
+ | 0.3815 | 10.0 | 3010 | 0.7505 | 0.3294 | 0.134 | 0.2919 | 0.2902 | 15.29 |
66
+ | 0.3815 | 11.0 | 3311 | 0.7725 | 0.3288 | 0.1285 | 0.2904 | 0.2908 | 15.26 |
67
+ | 0.3421 | 12.0 | 3612 | 0.7864 | 0.3383 | 0.1298 | 0.3055 | 0.3043 | 15.0 |
68
+ | 0.3421 | 13.0 | 3913 | 0.7975 | 0.3225 | 0.1219 | 0.2864 | 0.2845 | 15.15 |
69
+ | 0.2989 | 14.0 | 4214 | 0.8120 | 0.3326 | 0.1344 | 0.2918 | 0.2907 | 15.17 |
70
+ | 0.2652 | 15.0 | 4515 | 0.8128 | 0.3226 | 0.1154 | 0.2942 | 0.2934 | 15.0 |
71
+ | 0.2652 | 16.0 | 4816 | 0.8265 | 0.3201 | 0.1154 | 0.2845 | 0.2833 | 15.29 |
72
+ | 0.2382 | 17.0 | 5117 | 0.8325 | 0.3251 | 0.1265 | 0.2929 | 0.2905 | 15.37 |
73
+ | 0.2382 | 18.0 | 5418 | 0.8375 | 0.3348 | 0.1218 | 0.3013 | 0.299 | 15.14 |
74
+ | 0.2149 | 19.0 | 5719 | 0.8543 | 0.3373 | 0.1278 | 0.2991 | 0.2969 | 15.19 |
75
+ | 0.1956 | 20.0 | 6020 | 0.8638 | 0.3386 | 0.139 | 0.304 | 0.302 | 15.24 |
76
+ | 0.1956 | 21.0 | 6321 | 0.8659 | 0.3244 | 0.1253 | 0.2868 | 0.2857 | 15.23 |
77
+ | 0.1821 | 22.0 | 6622 | 0.8754 | 0.3325 | 0.1258 | 0.2967 | 0.2956 | 15.46 |
78
+ | 0.1821 | 23.0 | 6923 | 0.8775 | 0.3389 | 0.1288 | 0.3075 | 0.3062 | 15.22 |
79
+ | 0.164 | 24.0 | 7224 | 0.8779 | 0.3488 | 0.1331 | 0.3116 | 0.3105 | 15.56 |
80
+ | 0.159 | 25.0 | 7525 | 0.8839 | 0.3455 | 0.1409 | 0.3065 | 0.3039 | 15.44 |
81
+ | 0.159 | 26.0 | 7826 | 0.8885 | 0.3399 | 0.1353 | 0.3049 | 0.3022 | 15.37 |
82
+ | 0.1458 | 27.0 | 8127 | 0.8869 | 0.331 | 0.1309 | 0.2922 | 0.2901 | 15.36 |
83
+ | 0.1458 | 28.0 | 8428 | 0.8918 | 0.3388 | 0.138 | 0.3062 | 0.3031 | 15.34 |
84
+ | 0.1442 | 29.0 | 8729 | 0.8925 | 0.3384 | 0.138 | 0.3033 | 0.3006 | 15.23 |
85
+ | 0.1369 | 30.0 | 9030 | 0.8935 | 0.3436 | 0.1382 | 0.3044 | 0.3016 | 15.33 |
86
+
87
+
88
  ### Framework versions
89
 
90
  - Transformers 4.36.2
generation_config.json CHANGED
@@ -1,5 +1,4 @@
1
  {
2
- "_from_model_config": true,
3
  "bos_token_id": 0,
4
  "decoder_start_token_id": 2,
5
  "early_stopping": true,
 
1
  {
 
2
  "bos_token_id": 0,
3
  "decoder_start_token_id": 2,
4
  "early_stopping": true,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:091307aaa0e2bb914cd9fc74ae598bdc46be857415bc251f843e5af0af0d6d4d
3
  size 557912620
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18b3243ab332277487b84784365bd49c6ec0de4f7acbef8dd4dee0bf25abc0e8
3
  size 557912620
runs/Dec21_22-43-01_william-gpu-3090-10-rxldr/events.out.tfevents.1703198582.william-gpu-3090-10-rxldr.120708.2 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b9c673fdc3219b63cc1de542ddaddd3030186eea31d14dd0ec7cc56e94647ebe
3
- size 23698
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8378cff57303eb71b9d97aa257a5f6d8c57bd979e68e899cdcff2d8d0e89eb1
3
+ size 24577