kaifanli commited on
Commit
83c1b7e
1 Parent(s): e031ae5

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +68 -0
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: cc-by-sa-4.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - rouge
7
+ model-index:
8
+ - name: bart-large-japanese-RMT-tobyoki-20
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # bart-large-japanese-RMT-tobyoki-20
16
+
17
+ This model is a fine-tuned version of [ku-nlp/bart-large-japanese](https://huggingface.co/ku-nlp/bart-large-japanese) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.4333
20
+ - Rouge1: 10.4455
21
+ - Rouge2: 0.9997
22
+ - Rougel: 7.6259
23
+ - Rougelsum: 9.0518
24
+ - Gen Len: 2098.2
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - learning_rate: 3e-06
44
+ - train_batch_size: 2
45
+ - eval_batch_size: 2
46
+ - seed: 42
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: linear
49
+ - num_epochs: 10.0
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
54
+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
55
+ | No log | 1.0 | 40 | 3.1809 | 9.7012 | 1.3824 | 6.3532 | 8.4445 | 3000.0 |
56
+ | No log | 2.0 | 80 | 2.8693 | 11.308 | 1.6656 | 6.9919 | 9.8495 | 2980.5 |
57
+ | No log | 3.0 | 120 | 2.6873 | 11.7005 | 1.6944 | 7.3988 | 10.0862 | 2702.3 |
58
+ | No log | 4.0 | 160 | 2.5541 | 10.815 | 1.2578 | 7.4659 | 9.1837 | 2275.6 |
59
+ | No log | 5.0 | 200 | 2.4785 | 10.5975 | 1.0925 | 7.6191 | 9.357 | 2157.6 |
60
+ | No log | 6.0 | 240 | 2.4333 | 10.4455 | 0.9997 | 7.6259 | 9.0518 | 2098.2 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.30.0
66
+ - Pytorch 2.0.1+cu117
67
+ - Datasets 2.14.4
68
+ - Tokenizers 0.13.3