Hugging Face's logo

vania2911
/
esp-to-lsm-model-split

PyTorch
TensorBoard
Safetensors
marian
Generated from Trainer
Model card Files Metrics Community
vania2911 commited on
Commit
b242ff7
·
1 Parent(s): 2b49b0f

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +25 -25
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.5258
21
- - Bleu: 83.8782
22
- - Ter: 10.6805
23
- - Rouge1: 0.9238
24
- - Rouge2: 0.8539
25
 
26
  ## Model description
27
 
@@ -53,26 +53,26 @@ The following hyperparameters were used during training:
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Rouge1 | Rouge2 |
55
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:------:|
56
- | 1.0312 | 1.0 | 75 | 0.6799 | 70.9487 | 17.7958 | 0.8736 | 0.7858 |
57
- | 0.4186 | 2.0 | 150 | 0.4926 | 50.7542 | 12.2855 | 0.9190 | 0.8516 |
58
- | 0.2945 | 3.0 | 225 | 0.4174 | 72.8458 | 17.0732 | 0.9290 | 0.8649 |
59
- | 0.1752 | 4.0 | 300 | 0.4505 | 81.4327 | 10.3884 | 0.9254 | 0.8485 |
60
- | 0.1483 | 5.0 | 375 | 0.4863 | 39.1763 | 10.7498 | 0.9139 | 0.8411 |
61
- | 0.1049 | 6.0 | 450 | 0.4795 | 81.2675 | 10.0271 | 0.9250 | 0.8572 |
62
- | 0.0808 | 7.0 | 525 | 0.4824 | 80.2681 | 11.9241 | 0.9145 | 0.8251 |
63
- | 0.0723 | 8.0 | 600 | 0.4388 | 83.9041 | 11.0208 | 0.9308 | 0.8690 |
64
- | 0.0652 | 9.0 | 675 | 0.4277 | 85.0942 | 9.3948 | 0.9306 | 0.8718 |
65
- | 0.0469 | 10.0 | 750 | 0.4310 | 84.8003 | 9.2141 | 0.9337 | 0.8766 |
66
- | 0.043 | 11.0 | 825 | 0.4471 | 84.1771 | 9.9368 | 0.9297 | 0.8669 |
67
- | 0.0278 | 12.0 | 900 | 0.4326 | 86.4289 | 8.5818 | 0.9404 | 0.8829 |
68
- | 0.0258 | 13.0 | 975 | 0.4369 | 85.7966 | 8.7624 | 0.9363 | 0.8772 |
69
- | 0.0258 | 14.0 | 1050 | 0.4296 | 86.5295 | 8.4914 | 0.9393 | 0.8856 |
70
- | 0.0216 | 15.0 | 1125 | 0.4379 | 78.3156 | 14.7245 | 0.9321 | 0.8710 |
71
- | 0.0132 | 16.0 | 1200 | 0.4400 | 87.1342 | 8.0397 | 0.9392 | 0.8839 |
72
- | 0.0129 | 17.0 | 1275 | 0.4438 | 86.9282 | 8.1301 | 0.9383 | 0.8831 |
73
- | 0.0109 | 18.0 | 1350 | 0.4445 | 86.7807 | 8.4914 | 0.9372 | 0.8813 |
74
- | 0.0109 | 19.0 | 1425 | 0.4455 | 86.7006 | 8.4914 | 0.9371 | 0.8808 |
75
- | 0.014 | 20.0 | 1500 | 0.4472 | 86.8515 | 8.3107 | 0.9378 | 0.882 |
76
 
77
 
78
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.5118
21
+ - Bleu: 85.2207
22
+ - Ter: 8.9524
23
+ - Rouge1: 0.9459
24
+ - Rouge2: 0.8835
25
 
26
  ## Model description
27
 
 
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Bleu | Ter | Rouge1 | Rouge2 |
55
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:------:|
56
+ | 0.997 | 1.0 | 75 | 0.7490 | 39.0819 | 32.0952 | 0.8972 | 0.8107 |
57
+ | 0.4353 | 2.0 | 150 | 0.5363 | 78.0900 | 11.9048 | 0.9174 | 0.8421 |
58
+ | 0.2602 | 3.0 | 225 | 0.5100 | 47.9363 | 15.3333 | 0.9230 | 0.8407 |
59
+ | 0.2316 | 4.0 | 300 | 0.4974 | 79.0734 | 11.5238 | 0.9214 | 0.8392 |
60
+ | 0.1203 | 5.0 | 375 | 0.4946 | 80.3010 | 10.7619 | 0.9343 | 0.8695 |
61
+ | 0.1216 | 6.0 | 450 | 0.5038 | 80.6212 | 10.6667 | 0.9313 | 0.8571 |
62
+ | 0.0754 | 7.0 | 525 | 0.4650 | 69.5096 | 9.1429 | 0.9366 | 0.8773 |
63
+ | 0.0848 | 8.0 | 600 | 0.5086 | 83.6847 | 9.6190 | 0.9340 | 0.8599 |
64
+ | 0.0504 | 9.0 | 675 | 0.4904 | 82.1068 | 11.2381 | 0.9389 | 0.8777 |
65
+ | 0.0367 | 10.0 | 750 | 0.5040 | 84.9459 | 9.4286 | 0.9425 | 0.8787 |
66
+ | 0.0386 | 11.0 | 825 | 0.4964 | 84.3063 | 9.6190 | 0.9417 | 0.8770 |
67
+ | 0.0377 | 12.0 | 900 | 0.4992 | 84.2254 | 9.2381 | 0.9437 | 0.8809 |
68
+ | 0.0244 | 13.0 | 975 | 0.5052 | 84.7862 | 9.4286 | 0.9407 | 0.8762 |
69
+ | 0.0237 | 14.0 | 1050 | 0.5037 | 82.0504 | 9.8095 | 0.9396 | 0.8706 |
70
+ | 0.0173 | 15.0 | 1125 | 0.5105 | 85.2564 | 9.0476 | 0.9453 | 0.8821 |
71
+ | 0.0193 | 16.0 | 1200 | 0.5129 | 85.2911 | 8.9524 | 0.9460 | 0.8854 |
72
+ | 0.0184 | 17.0 | 1275 | 0.5121 | 84.8249 | 9.2381 | 0.9444 | 0.8808 |
73
+ | 0.0142 | 18.0 | 1350 | 0.5088 | 85.2207 | 8.9524 | 0.9459 | 0.8835 |
74
+ | 0.0131 | 19.0 | 1425 | 0.5127 | 85.2207 | 8.9524 | 0.9459 | 0.8835 |
75
+ | 0.0122 | 20.0 | 1500 | 0.5118 | 85.2207 | 8.9524 | 0.9459 | 0.8835 |
76
 
77
 
78
  ### Framework versions