Hugging Face's logo

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

Text2Text Generation
Transformers
TensorBoard
Safetensors
bart
Generated from Trainer
Model card Files Metrics Community
tanatapanun commited on
Commit
4336b38
·
1 Parent(s): 53f411a

Model save

Browse files
Files changed (4) hide show
  1. README.md +93 -0
  2. generation_config.json +11 -0
  3. model.safetensors +1 -1
  4. runs/Dec20_00-20-07_william-gpu-3090-10-rxldr/events.out.tfevents.1703031698.william-gpu-3090-10-rxldr.17060.0 +2 -2
README.md ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: GanjinZero/biobart-v2-base
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - rouge
8
+ model-index:
9
+ - name: fine-tuned-2048-inputs-30-epochs
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # fine-tuned-2048-inputs-30-epochs
17
+
18
+ This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.8273
21
+ - Rouge1: 0.2933
22
+ - Rouge2: 0.1173
23
+ - Rougel: 0.2662
24
+ - Rougelsum: 0.2653
25
+ - Gen Len: 15.53
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 2e-05
45
+ - train_batch_size: 8
46
+ - eval_batch_size: 8
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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 | 151 | 0.7529 | 0.2082 | 0.0781 | 0.1878 | 0.1884 | 13.16 |
57
+ | No log | 2.0 | 302 | 0.7144 | 0.2589 | 0.0817 | 0.2239 | 0.2244 | 13.76 |
58
+ | No log | 3.0 | 453 | 0.6993 | 0.2409 | 0.0773 | 0.2135 | 0.2136 | 14.52 |
59
+ | 0.7226 | 4.0 | 604 | 0.6957 | 0.2891 | 0.1014 | 0.262 | 0.2618 | 14.27 |
60
+ | 0.7226 | 5.0 | 755 | 0.7037 | 0.2925 | 0.1167 | 0.2656 | 0.267 | 14.73 |
61
+ | 0.7226 | 6.0 | 906 | 0.6971 | 0.2778 | 0.1124 | 0.2511 | 0.2501 | 14.92 |
62
+ | 0.4948 | 7.0 | 1057 | 0.7117 | 0.2816 | 0.1139 | 0.2558 | 0.2553 | 14.93 |
63
+ | 0.4948 | 8.0 | 1208 | 0.7185 | 0.2948 | 0.1192 | 0.2683 | 0.2679 | 14.45 |
64
+ | 0.4948 | 9.0 | 1359 | 0.7250 | 0.3039 | 0.1108 | 0.2748 | 0.2738 | 14.76 |
65
+ | 0.368 | 10.0 | 1510 | 0.7343 | 0.3187 | 0.1267 | 0.2921 | 0.2919 | 14.67 |
66
+ | 0.368 | 11.0 | 1661 | 0.7418 | 0.3067 | 0.1205 | 0.278 | 0.2772 | 15.23 |
67
+ | 0.368 | 12.0 | 1812 | 0.7521 | 0.3023 | 0.1134 | 0.2764 | 0.2756 | 14.91 |
68
+ | 0.368 | 13.0 | 1963 | 0.7556 | 0.2945 | 0.1143 | 0.272 | 0.2713 | 15.01 |
69
+ | 0.2865 | 14.0 | 2114 | 0.7636 | 0.3163 | 0.1246 | 0.2943 | 0.2942 | 15.44 |
70
+ | 0.2865 | 15.0 | 2265 | 0.7722 | 0.2987 | 0.1105 | 0.2705 | 0.2703 | 14.93 |
71
+ | 0.2865 | 16.0 | 2416 | 0.7788 | 0.3047 | 0.1091 | 0.2745 | 0.2744 | 15.29 |
72
+ | 0.2221 | 17.0 | 2567 | 0.7834 | 0.2973 | 0.113 | 0.2698 | 0.269 | 15.11 |
73
+ | 0.2221 | 18.0 | 2718 | 0.7905 | 0.2933 | 0.1139 | 0.2612 | 0.2595 | 15.1 |
74
+ | 0.2221 | 19.0 | 2869 | 0.7945 | 0.2936 | 0.1036 | 0.2637 | 0.2624 | 15.5 |
75
+ | 0.1825 | 20.0 | 3020 | 0.8033 | 0.3167 | 0.1216 | 0.2839 | 0.2837 | 15.54 |
76
+ | 0.1825 | 21.0 | 3171 | 0.8009 | 0.3056 | 0.1139 | 0.2753 | 0.2747 | 15.69 |
77
+ | 0.1825 | 22.0 | 3322 | 0.8085 | 0.2974 | 0.113 | 0.2632 | 0.2621 | 15.37 |
78
+ | 0.1825 | 23.0 | 3473 | 0.8120 | 0.3063 | 0.1191 | 0.2746 | 0.2749 | 15.48 |
79
+ | 0.1498 | 24.0 | 3624 | 0.8163 | 0.3045 | 0.1114 | 0.2736 | 0.2724 | 15.47 |
80
+ | 0.1498 | 25.0 | 3775 | 0.8197 | 0.3091 | 0.1147 | 0.2789 | 0.2788 | 15.51 |
81
+ | 0.1498 | 26.0 | 3926 | 0.8212 | 0.3003 | 0.1211 | 0.2715 | 0.2718 | 15.59 |
82
+ | 0.1329 | 27.0 | 4077 | 0.8230 | 0.3046 | 0.1158 | 0.2751 | 0.275 | 15.5 |
83
+ | 0.1329 | 28.0 | 4228 | 0.8250 | 0.2871 | 0.1118 | 0.2614 | 0.2599 | 15.49 |
84
+ | 0.1329 | 29.0 | 4379 | 0.8275 | 0.303 | 0.1109 | 0.2734 | 0.2737 | 15.57 |
85
+ | 0.1226 | 30.0 | 4530 | 0.8273 | 0.2933 | 0.1173 | 0.2662 | 0.2653 | 15.53 |
86
+
87
+
88
+ ### Framework versions
89
+
90
+ - Transformers 4.36.2
91
+ - Pytorch 1.12.1+cu113
92
+ - Datasets 2.15.0
93
+ - Tokenizers 0.15.0
generation_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 0,
3
+ "decoder_start_token_id": 2,
4
+ "early_stopping": true,
5
+ "eos_token_id": 2,
6
+ "forced_eos_token_id": 2,
7
+ "no_repeat_ngram_size": 3,
8
+ "num_beams": 4,
9
+ "pad_token_id": 1,
10
+ "transformers_version": "4.36.2"
11
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:92041a27c3650429ea30ba06398da2d16292d908e42a3c618ac9287771391d3d
3
  size 665990956
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f40e1a6823bf23a9bb3455329b8923fef10fdf01a3e42ab1e6e9d744b2428a8
3
  size 665990956
runs/Dec20_00-20-07_william-gpu-3090-10-rxldr/events.out.tfevents.1703031698.william-gpu-3090-10-rxldr.17060.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:55b42479cdf79f479a620a6a51c4b22339d2e580b69e4b9c0750aa43e7d334c1
3
- size 22290
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2562b4139ec7b39c7dcc017bec5596e4c7476c6a58dc77716ddc868be04588b
3
+ size 23169