Kabelo Malapane commited on
Commit
375f7e3
1 Parent(s): adc2ac5

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +74 -0
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - translation
5
+ - generated_from_trainer
6
+ metrics:
7
+ - bleu
8
+ model-index:
9
+ - name: En-Nso_update3
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
+ # En-Nso_update3
17
+
18
+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-nso](https://huggingface.co/Helsinki-NLP/opus-mt-en-nso) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 2.4218
21
+ - Bleu: 24.5765
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 2e-05
41
+ - train_batch_size: 32
42
+ - eval_batch_size: 64
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 15
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
51
+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|
52
+ | 3.6568 | 1.0 | 867 | 3.0185 | 18.4004 |
53
+ | 2.7574 | 2.0 | 1734 | 2.7774 | 20.3167 |
54
+ | 2.4522 | 3.0 | 2601 | 2.6436 | 22.1868 |
55
+ | 2.3298 | 4.0 | 3468 | 2.5732 | 22.6221 |
56
+ | 2.1563 | 5.0 | 4335 | 2.5225 | 22.6937 |
57
+ | 2.0177 | 6.0 | 5202 | 2.4917 | 23.2204 |
58
+ | 1.9407 | 7.0 | 6069 | 2.4656 | 23.3616 |
59
+ | 1.8758 | 8.0 | 6936 | 2.4509 | 23.5496 |
60
+ | 1.8167 | 9.0 | 7803 | 2.4426 | 23.6263 |
61
+ | 1.7566 | 10.0 | 8670 | 2.4345 | 24.0730 |
62
+ | 1.7254 | 11.0 | 9537 | 2.4281 | 24.1627 |
63
+ | 1.7088 | 12.0 | 10404 | 2.4252 | 24.1109 |
64
+ | 1.6731 | 13.0 | 11271 | 2.4226 | 24.1018 |
65
+ | 1.6574 | 14.0 | 12138 | 2.4211 | 23.9186 |
66
+ | 1.6481 | 15.0 | 13005 | 2.4218 | 24.1323 |
67
+
68
+
69
+ ### Framework versions
70
+
71
+ - Transformers 4.20.1
72
+ - Pytorch 1.12.0+cu113
73
+ - Datasets 2.3.2
74
+ - Tokenizers 0.12.1