Hugging Face's logo

filip503
/
calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
Model card Files
xet
 Community
filip503 commited on
Commit
9960cb8
·
verified ·
1 Parent(s): 2590f9e

End of training

Browse files
Files changed (1) hide show
  1. README.md +41 -41
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.7985
18
 
19
  ## Model description
20
 
@@ -45,46 +45,46 @@ The following hyperparameters were used during training:
45
 
46
  | Training Loss | Epoch | Step | Validation Loss |
47
  |:-------------:|:-----:|:----:|:---------------:|
48
- | 3.4151 | 1.0 | 6 | 2.7691 |
49
- | 2.3863 | 2.0 | 12 | 1.9606 |
50
- | 1.7797 | 3.0 | 18 | 1.6764 |
51
- | 1.6460 | 4.0 | 24 | 1.5858 |
52
- | 1.5644 | 5.0 | 30 | 1.5765 |
53
- | 1.5432 | 6.0 | 36 | 1.5781 |
54
- | 1.5669 | 7.0 | 42 | 1.5597 |
55
- | 1.5232 | 8.0 | 48 | 1.5505 |
56
- | 1.5219 | 9.0 | 54 | 1.5580 |
57
- | 1.5295 | 10.0 | 60 | 1.5474 |
58
- | 1.5209 | 11.0 | 66 | 1.5438 |
59
- | 1.5128 | 12.0 | 72 | 1.5142 |
60
- | 1.5014 | 13.0 | 78 | 1.4923 |
61
- | 1.4803 | 14.0 | 84 | 1.4900 |
62
- | 1.4739 | 15.0 | 90 | 1.5673 |
63
- | 1.5135 | 16.0 | 96 | 1.4964 |
64
- | 1.4565 | 17.0 | 102 | 1.4577 |
65
- | 1.4254 | 18.0 | 108 | 1.4337 |
66
- | 1.3869 | 19.0 | 114 | 1.3249 |
67
- | 1.3452 | 20.0 | 120 | 1.3453 |
68
- | 1.2864 | 21.0 | 126 | 1.2553 |
69
- | 1.2496 | 22.0 | 132 | 1.2294 |
70
- | 1.2238 | 23.0 | 138 | 1.2570 |
71
- | 1.2056 | 24.0 | 144 | 1.1649 |
72
- | 1.1413 | 25.0 | 150 | 1.1024 |
73
- | 1.0975 | 26.0 | 156 | 1.0513 |
74
- | 1.0630 | 27.0 | 162 | 1.0189 |
75
- | 1.0165 | 28.0 | 168 | 0.9754 |
76
- | 0.9779 | 29.0 | 174 | 0.9593 |
77
- | 0.9630 | 30.0 | 180 | 0.9259 |
78
- | 0.9389 | 31.0 | 186 | 0.8968 |
79
- | 0.9286 | 32.0 | 192 | 0.8921 |
80
- | 0.9163 | 33.0 | 198 | 0.8767 |
81
- | 0.8857 | 34.0 | 204 | 0.8562 |
82
- | 0.8795 | 35.0 | 210 | 0.8457 |
83
- | 0.8725 | 36.0 | 216 | 0.8266 |
84
- | 0.8647 | 37.0 | 222 | 0.8118 |
85
- | 0.8528 | 38.0 | 228 | 0.8054 |
86
- | 0.8363 | 39.0 | 234 | 0.8009 |
87
- | 0.8267 | 40.0 | 240 | 0.7985 |
88
 
89
 
90
  ### Framework versions
 
14
 
15
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.1003
18
 
19
  ## Model description
20
 
 
45
 
46
  | Training Loss | Epoch | Step | Validation Loss |
47
  |:-------------:|:-----:|:----:|:---------------:|
48
+ | 3.0175 | 1.0 | 6 | 2.2573 |
49
+ | 2.0272 | 2.0 | 12 | 1.7403 |
50
+ | 1.5671 | 3.0 | 18 | 1.3060 |
51
+ | 1.2173 | 4.0 | 24 | 1.1009 |
52
+ | 1.0625 | 5.0 | 30 | 0.9983 |
53
+ | 0.9170 | 6.0 | 36 | 0.8397 |
54
+ | 0.7955 | 7.0 | 42 | 0.7340 |
55
+ | 0.7371 | 8.0 | 48 | 0.6631 |
56
+ | 0.6518 | 9.0 | 54 | 0.6219 |
57
+ | 0.6083 | 10.0 | 60 | 0.5827 |
58
+ | 0.5642 | 11.0 | 66 | 0.5429 |
59
+ | 0.5501 | 12.0 | 72 | 0.5558 |
60
+ | 0.5364 | 13.0 | 78 | 0.4899 |
61
+ | 0.4912 | 14.0 | 84 | 0.4801 |
62
+ | 0.4754 | 15.0 | 90 | 0.4480 |
63
+ | 0.4503 | 16.0 | 96 | 0.4217 |
64
+ | 0.4251 | 17.0 | 102 | 0.4097 |
65
+ | 0.4247 | 18.0 | 108 | 0.3976 |
66
+ | 0.3967 | 19.0 | 114 | 0.3619 |
67
+ | 0.3719 | 20.0 | 120 | 0.3548 |
68
+ | 0.3544 | 21.0 | 126 | 0.3338 |
69
+ | 0.3415 | 22.0 | 132 | 0.3567 |
70
+ | 0.3538 | 23.0 | 138 | 0.2841 |
71
+ | 0.3021 | 24.0 | 144 | 0.2793 |
72
+ | 0.2794 | 25.0 | 150 | 0.2528 |
73
+ | 0.2619 | 26.0 | 156 | 0.2398 |
74
+ | 0.2540 | 27.0 | 162 | 0.2195 |
75
+ | 0.2251 | 28.0 | 168 | 0.2062 |
76
+ | 0.2169 | 29.0 | 174 | 0.1901 |
77
+ | 0.2054 | 30.0 | 180 | 0.1702 |
78
+ | 0.1903 | 31.0 | 186 | 0.1608 |
79
+ | 0.1745 | 32.0 | 192 | 0.1485 |
80
+ | 0.1652 | 33.0 | 198 | 0.1359 |
81
+ | 0.1547 | 34.0 | 204 | 0.1293 |
82
+ | 0.1459 | 35.0 | 210 | 0.1196 |
83
+ | 0.1415 | 36.0 | 216 | 0.1139 |
84
+ | 0.1350 | 37.0 | 222 | 0.1079 |
85
+ | 0.1366 | 38.0 | 228 | 0.1026 |
86
+ | 0.1252 | 39.0 | 234 | 0.1012 |
87
+ | 0.1217 | 40.0 | 240 | 0.1003 |
88
 
89
 
90
  ### Framework versions