Vasireddy commited on
Commit
424beb3
1 Parent(s): ff81355

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +83 -0
README.md ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: google/flan-t5-large
4
+ tags:
5
+ - text2textgeneration
6
+ - generated_from_trainer
7
+ metrics:
8
+ - rouge
9
+ model-index:
10
+ - name: flan-t5-large-finetune-medicine-v5
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # flan-t5-large-finetune-medicine-v5
18
+
19
+ This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 2.3517
22
+ - Rouge1: 27.7218
23
+ - Rouge2: 10.9162
24
+ - Rougel: 23.6057
25
+ - Rougelsum: 23.2999
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: 5.6e-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: 20
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
55
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
56
+ | No log | 1.0 | 5 | 2.2465 | 14.6773 | 3.5979 | 13.871 | 14.2474 |
57
+ | No log | 2.0 | 10 | 2.1106 | 10.2078 | 2.1164 | 10.2919 | 10.276 |
58
+ | No log | 3.0 | 15 | 2.0535 | 16.7761 | 1.5873 | 16.7952 | 17.1838 |
59
+ | No log | 4.0 | 20 | 2.0323 | 16.6844 | 1.5873 | 16.8444 | 16.9094 |
60
+ | No log | 5.0 | 25 | 2.0063 | 17.2911 | 2.3045 | 14.8127 | 15.3235 |
61
+ | No log | 6.0 | 30 | 2.0079 | 15.3197 | 4.6561 | 14.278 | 14.8369 |
62
+ | No log | 7.0 | 35 | 2.0319 | 15.9877 | 5.8947 | 13.9837 | 14.1814 |
63
+ | No log | 8.0 | 40 | 2.0748 | 23.1763 | 10.5 | 20.2887 | 20.2578 |
64
+ | No log | 9.0 | 45 | 2.1303 | 21.1874 | 6.9444 | 19.0088 | 18.991 |
65
+ | No log | 10.0 | 50 | 2.1746 | 20.2807 | 6.2865 | 18.2145 | 18.1012 |
66
+ | No log | 11.0 | 55 | 2.1729 | 21.8364 | 9.8421 | 18.7897 | 18.8242 |
67
+ | No log | 12.0 | 60 | 2.2083 | 22.777 | 10.9162 | 21.3444 | 21.1464 |
68
+ | No log | 13.0 | 65 | 2.2658 | 21.7641 | 10.9162 | 20.3906 | 19.8167 |
69
+ | No log | 14.0 | 70 | 2.2889 | 21.7641 | 10.9162 | 20.3906 | 19.8167 |
70
+ | No log | 15.0 | 75 | 2.2998 | 25.3171 | 10.9162 | 21.3683 | 20.9228 |
71
+ | No log | 16.0 | 80 | 2.3082 | 26.0279 | 10.9162 | 21.9565 | 21.7519 |
72
+ | No log | 17.0 | 85 | 2.3166 | 26.0279 | 10.9162 | 21.9565 | 21.7519 |
73
+ | No log | 18.0 | 90 | 2.3325 | 27.7218 | 10.9162 | 23.6057 | 23.2999 |
74
+ | No log | 19.0 | 95 | 2.3462 | 27.7218 | 10.9162 | 23.6057 | 23.2999 |
75
+ | No log | 20.0 | 100 | 2.3517 | 27.7218 | 10.9162 | 23.6057 | 23.2999 |
76
+
77
+
78
+ ### Framework versions
79
+
80
+ - Transformers 4.31.0
81
+ - Pytorch 2.0.1+cu118
82
+ - Datasets 2.14.1
83
+ - Tokenizers 0.13.3