chunwoolee0 commited on
Commit
f683442
1 Parent(s): c38eb39

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -0
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: Helsinki-NLP/opus-mt-ko-en
4
+ tags:
5
+ - translation
6
+ - generated_from_trainer
7
+ datasets:
8
+ - kde4
9
+ metrics:
10
+ - bleu
11
+ model-index:
12
+ - name: kd4_opus-mt-ko-en
13
+ results:
14
+ - task:
15
+ name: Sequence-to-sequence Language Modeling
16
+ type: text2text-generation
17
+ dataset:
18
+ name: kde4
19
+ type: kde4
20
+ config: en-ko
21
+ split: train
22
+ args: en-ko
23
+ metrics:
24
+ - name: Bleu
25
+ type: bleu
26
+ value: 32.11616746914562
27
+ ---
28
+
29
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
30
+ should probably proofread and complete it, then remove this comment. -->
31
+
32
+ # kd4_opus-mt-ko-en
33
+
34
+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on the kde4 dataset.
35
+ It achieves the following results on the evaluation set:
36
+ - Loss: 1.3924
37
+ - Bleu: 32.1162
38
+
39
+ ## Model description
40
+
41
+ More information needed
42
+
43
+ ## Intended uses & limitations
44
+
45
+ More information needed
46
+
47
+ ## Training and evaluation data
48
+
49
+ More information needed
50
+
51
+ ## Training procedure
52
+
53
+ ### Training hyperparameters
54
+
55
+ The following hyperparameters were used during training:
56
+ - learning_rate: 2e-05
57
+ - train_batch_size: 32
58
+ - eval_batch_size: 64
59
+ - seed: 42
60
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
61
+ - lr_scheduler_type: linear
62
+ - num_epochs: 3
63
+
64
+ ### Training results
65
+
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - Transformers 4.31.0
71
+ - Pytorch 2.0.1+cu118
72
+ - Datasets 2.14.4
73
+ - Tokenizers 0.13.3