Hugging Face's logo

michalmolas
/
calculator_model_test

Transformers
TensorBoard
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
Model card Files
xet
Metrics Community
michalmolas commited on
Commit
9c89d1f
·
verified ·
1 Parent(s): 4a53dd4

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: 0.9427
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
- | 3.3503 | 1.0 | 6 | 2.7241 |
49
- | 2.3455 | 2.0 | 12 | 1.9678 |
50
- | 1.8004 | 3.0 | 18 | 1.6594 |
51
- | 1.6357 | 4.0 | 24 | 1.5783 |
52
- | 1.5655 | 5.0 | 30 | 1.5659 |
53
- | 1.5598 | 6.0 | 36 | 1.5450 |
54
- | 1.5758 | 7.0 | 42 | 1.5499 |
55
- | 1.5624 | 8.0 | 48 | 1.5532 |
56
- | 1.5206 | 9.0 | 54 | 1.5342 |
57
- | 1.5118 | 10.0 | 60 | 1.5147 |
58
- | 1.4941 | 11.0 | 66 | 1.4801 |
59
- | 1.4838 | 12.0 | 72 | 1.4938 |
60
- | 1.4778 | 13.0 | 78 | 1.5025 |
61
- | 1.468 | 14.0 | 84 | 1.4822 |
62
- | 1.4628 | 15.0 | 90 | 1.4562 |
63
- | 1.4596 | 16.0 | 96 | 1.4691 |
64
- | 1.4528 | 17.0 | 102 | 1.4443 |
65
- | 1.4412 | 18.0 | 108 | 1.4333 |
66
- | 1.4244 | 19.0 | 114 | 1.4197 |
67
- | 1.4061 | 20.0 | 120 | 1.3935 |
68
- | 1.3793 | 21.0 | 126 | 1.3658 |
69
- | 1.358 | 22.0 | 132 | 1.3587 |
70
- | 1.3589 | 23.0 | 138 | 1.3947 |
71
- | 1.345 | 24.0 | 144 | 1.3501 |
72
- | 1.3282 | 25.0 | 150 | 1.2799 |
73
- | 1.3115 | 26.0 | 156 | 1.2315 |
74
- | 1.2202 | 27.0 | 162 | 1.1887 |
75
- | 1.1889 | 28.0 | 168 | 1.1324 |
76
- | 1.1507 | 29.0 | 174 | 1.1122 |
77
- | 1.1265 | 30.0 | 180 | 1.0905 |
78
- | 1.1037 | 31.0 | 186 | 1.0430 |
79
- | 1.0908 | 32.0 | 192 | 1.0276 |
80
- | 1.053 | 33.0 | 198 | 1.0287 |
81
- | 1.0544 | 34.0 | 204 | 1.0085 |
82
- | 1.0249 | 35.0 | 210 | 1.0045 |
83
- | 1.0319 | 36.0 | 216 | 0.9692 |
84
- | 0.9985 | 37.0 | 222 | 0.9631 |
85
- | 0.9895 | 38.0 | 228 | 0.9541 |
86
- | 0.9854 | 39.0 | 234 | 0.9464 |
87
- | 0.976 | 40.0 | 240 | 0.9427 |
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: 0.0034
18
 
19
  ## Model description
20
 
 
45
 
46
  | Training Loss | Epoch | Step | Validation Loss |
47
  |:-------------:|:-----:|:----:|:---------------:|
48
+ | 2.6369 | 1.0 | 6 | 2.0477 |
49
+ | 1.7565 | 2.0 | 12 | 1.3737 |
50
+ | 1.1734 | 3.0 | 18 | 0.9502 |
51
+ | 0.8518 | 4.0 | 24 | 0.7393 |
52
+ | 0.6819 | 5.0 | 30 | 0.5983 |
53
+ | 0.5682 | 6.0 | 36 | 0.5471 |
54
+ | 0.5061 | 7.0 | 42 | 0.4669 |
55
+ | 0.4481 | 8.0 | 48 | 0.4075 |
56
+ | 0.3943 | 9.0 | 54 | 0.3609 |
57
+ | 0.3549 | 10.0 | 60 | 0.3064 |
58
+ | 0.3008 | 11.0 | 66 | 0.2429 |
59
+ | 0.273 | 12.0 | 72 | 0.2077 |
60
+ | 0.2174 | 13.0 | 78 | 0.1596 |
61
+ | 0.1708 | 14.0 | 84 | 0.1402 |
62
+ | 0.1405 | 15.0 | 90 | 0.0785 |
63
+ | 0.1068 | 16.0 | 96 | 0.0725 |
64
+ | 0.1017 | 17.0 | 102 | 0.0490 |
65
+ | 0.0684 | 18.0 | 108 | 0.0417 |
66
+ | 0.0565 | 19.0 | 114 | 0.0290 |
67
+ | 0.0487 | 20.0 | 120 | 0.0237 |
68
+ | 0.0403 | 21.0 | 126 | 0.0164 |
69
+ | 0.0323 | 22.0 | 132 | 0.0141 |
70
+ | 0.0277 | 23.0 | 138 | 0.0126 |
71
+ | 0.0234 | 24.0 | 144 | 0.0088 |
72
+ | 0.0219 | 25.0 | 150 | 0.0076 |
73
+ | 0.0215 | 26.0 | 156 | 0.0088 |
74
+ | 0.0175 | 27.0 | 162 | 0.0072 |
75
+ | 0.0152 | 28.0 | 168 | 0.0057 |
76
+ | 0.0198 | 29.0 | 174 | 0.0057 |
77
+ | 0.0146 | 30.0 | 180 | 0.0055 |
78
+ | 0.0126 | 31.0 | 186 | 0.0055 |
79
+ | 0.0125 | 32.0 | 192 | 0.0045 |
80
+ | 0.0108 | 33.0 | 198 | 0.0041 |
81
+ | 0.0091 | 34.0 | 204 | 0.0042 |
82
+ | 0.0076 | 35.0 | 210 | 0.0038 |
83
+ | 0.0076 | 36.0 | 216 | 0.0036 |
84
+ | 0.0072 | 37.0 | 222 | 0.0035 |
85
+ | 0.0067 | 38.0 | 228 | 0.0035 |
86
+ | 0.0066 | 39.0 | 234 | 0.0034 |
87
+ | 0.0065 | 40.0 | 240 | 0.0034 |
88
 
89
 
90
  ### Framework versions