Hugging Face's logo

jszot
/
calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
Model card Files
xet
 Community
jszot commited on
Commit
b82f625
·
verified ·
1 Parent(s): 6f5a667

End of training

Browse files
Files changed (1) hide show
  1. README.md +72 -73
README.md CHANGED
@@ -1,6 +1,5 @@
1
  ---
2
  library_name: transformers
3
- base_model: jszot/calculator_model_test
4
  tags:
5
  - generated_from_trainer
6
  model-index:
@@ -13,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # calculator_model_test
15
 
16
- This model is a fine-tuned version of [jszot/calculator_model_test](https://huggingface.co/jszot/calculator_model_test) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: nan
19
 
20
  ## Model description
21
 
@@ -47,76 +46,76 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
49
  |:-------------:|:-----:|:----:|:---------------:|
50
- | 2.4915 | 1.0 | 6 | 2.4641 |
51
- | 2.3810 | 2.0 | 12 | 2.4631 |
52
- | 0.4020 | 3.0 | 18 | 2.4760 |
53
- | 0.4152 | 4.0 | 24 | 2.5013 |
54
- | 0.4167 | 5.0 | 30 | 2.5159 |
55
- | 0.4259 | 6.0 | 36 | 2.5125 |
56
- | 0.4180 | 7.0 | 42 | 2.4938 |
57
- | 0.0 | 8.0 | 48 | 2.4938 |
58
- | 0.4142 | 9.0 | 54 | 2.4873 |
59
- | 0.4113 | 10.0 | 60 | 2.4874 |
60
- | 0.4333 | 11.0 | 66 | 2.4917 |
61
- | 0.4189 | 12.0 | 72 | 2.4985 |
62
- | 0.8576 | 13.0 | 78 | 2.5152 |
63
- | 0.4302 | 14.0 | 84 | 2.5250 |
64
- | 0.4158 | 15.0 | 90 | 2.5355 |
65
- | 0.4416 | 16.0 | 96 | 2.5463 |
66
- | 0.4541 | 17.0 | 102 | 2.5573 |
67
- | 0.4295 | 18.0 | 108 | 2.5683 |
68
- | 0.4440 | 19.0 | 114 | 2.5796 |
69
- | 1.2993 | 20.0 | 120 | 2.6013 |
70
- | 0.4239 | 21.0 | 126 | 2.6117 |
71
- | 0.0 | 22.0 | 132 | 2.6117 |
72
- | 0.0 | 23.0 | 138 | 2.6117 |
73
- | 0.8906 | 24.0 | 144 | 2.6300 |
74
- | 0.4285 | 25.0 | 150 | 2.6385 |
75
- | 0.4323 | 26.0 | 156 | 2.6461 |
76
- | 0.4449 | 27.0 | 162 | 2.6537 |
77
- | 0.0 | 28.0 | 168 | 2.6537 |
78
- | 0.4491 | 29.0 | 174 | 2.6605 |
79
- | 0.4529 | 30.0 | 180 | 2.6669 |
80
- | 1.7849 | 31.0 | 186 | nan |
81
- | 0.0 | 32.0 | 192 | nan |
82
- | 0.0 | 33.0 | 198 | nan |
83
- | 0.0 | 34.0 | 204 | nan |
84
- | 0.0 | 35.0 | 210 | nan |
85
- | 0.0 | 36.0 | 216 | nan |
86
- | 0.0 | 37.0 | 222 | nan |
87
- | 0.0 | 38.0 | 228 | nan |
88
- | 0.0 | 39.0 | 234 | nan |
89
- | 0.0 | 40.0 | 240 | nan |
90
- | 0.0 | 41.0 | 246 | nan |
91
- | 0.0 | 42.0 | 252 | nan |
92
- | 0.0 | 43.0 | 258 | nan |
93
- | 0.0 | 44.0 | 264 | nan |
94
- | 0.0 | 45.0 | 270 | nan |
95
- | 0.0 | 46.0 | 276 | nan |
96
- | 0.0 | 47.0 | 282 | nan |
97
- | 0.0 | 48.0 | 288 | nan |
98
- | 0.0 | 49.0 | 294 | nan |
99
- | 0.0 | 50.0 | 300 | nan |
100
- | 0.0 | 51.0 | 306 | nan |
101
- | 0.0 | 52.0 | 312 | nan |
102
- | 0.0 | 53.0 | 318 | nan |
103
- | 0.0 | 54.0 | 324 | nan |
104
- | 0.0 | 55.0 | 330 | nan |
105
- | 0.0 | 56.0 | 336 | nan |
106
- | 0.0 | 57.0 | 342 | nan |
107
- | 0.0 | 58.0 | 348 | nan |
108
- | 0.0 | 59.0 | 354 | nan |
109
- | 0.0 | 60.0 | 360 | nan |
110
- | 0.0 | 61.0 | 366 | nan |
111
- | 0.0 | 62.0 | 372 | nan |
112
- | 0.0 | 63.0 | 378 | nan |
113
- | 0.0 | 64.0 | 384 | nan |
114
- | 0.0 | 65.0 | 390 | nan |
115
- | 0.0 | 66.0 | 396 | nan |
116
- | 0.0 | 67.0 | 402 | nan |
117
- | 0.0 | 68.0 | 408 | nan |
118
- | 0.0 | 69.0 | 414 | nan |
119
- | 0.0 | 70.0 | 420 | nan |
120
 
121
 
122
  ### Framework versions
 
1
  ---
2
  library_name: transformers
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
 
12
 
13
  # calculator_model_test
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: 2.4326
18
 
19
  ## Model description
20
 
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 4.7628 | 1.0 | 6 | 4.6944 |
50
+ | 4.2064 | 2.0 | 12 | 2.6333 |
51
+ | 2.7903 | 3.0 | 18 | 2.6536 |
52
+ | 2.6378 | 4.0 | 24 | 2.5755 |
53
+ | 2.5766 | 5.0 | 30 | 2.5430 |
54
+ | 2.5333 | 6.0 | 36 | 2.4796 |
55
+ | 2.4958 | 7.0 | 42 | 2.4486 |
56
+ | 2.4790 | 8.0 | 48 | 2.4552 |
57
+ | 2.4918 | 9.0 | 54 | 2.4471 |
58
+ | 2.4674 | 10.0 | 60 | 2.4414 |
59
+ | 2.4644 | 11.0 | 66 | 2.4440 |
60
+ | 2.4588 | 12.0 | 72 | 2.4428 |
61
+ | 2.4755 | 13.0 | 78 | 2.4418 |
62
+ | 2.4548 | 14.0 | 84 | 2.4407 |
63
+ | 2.4722 | 15.0 | 90 | 2.4313 |
64
+ | 2.4656 | 16.0 | 96 | 2.4403 |
65
+ | 2.4692 | 17.0 | 102 | 2.4408 |
66
+ | 2.4596 | 18.0 | 108 | 2.4413 |
67
+ | 2.4538 | 19.0 | 114 | 2.4304 |
68
+ | 2.4550 | 20.0 | 120 | 2.4357 |
69
+ | 2.4720 | 21.0 | 126 | 2.4359 |
70
+ | 2.4601 | 22.0 | 132 | 2.4341 |
71
+ | 2.4603 | 23.0 | 138 | 2.4369 |
72
+ | 2.4607 | 24.0 | 144 | 2.4408 |
73
+ | 2.4703 | 25.0 | 150 | 2.4402 |
74
+ | 2.4593 | 26.0 | 156 | 2.4339 |
75
+ | 2.4609 | 27.0 | 162 | 2.4339 |
76
+ | 2.4540 | 28.0 | 168 | 2.4345 |
77
+ | 2.4514 | 29.0 | 174 | 2.4347 |
78
+ | 2.4558 | 30.0 | 180 | 2.4316 |
79
+ | 2.4507 | 31.0 | 186 | 2.4351 |
80
+ | 2.4658 | 32.0 | 192 | 2.4356 |
81
+ | 2.4558 | 33.0 | 198 | 2.4358 |
82
+ | 2.4695 | 34.0 | 204 | 2.4344 |
83
+ | 2.4706 | 35.0 | 210 | 2.4386 |
84
+ | 2.4647 | 36.0 | 216 | 2.4413 |
85
+ | 2.4586 | 37.0 | 222 | 2.4314 |
86
+ | 2.4575 | 38.0 | 228 | 2.4258 |
87
+ | 2.4723 | 39.0 | 234 | 2.4287 |
88
+ | 2.4546 | 40.0 | 240 | 2.4328 |
89
+ | 2.4399 | 41.0 | 246 | 2.4334 |
90
+ | 2.4543 | 42.0 | 252 | 2.4337 |
91
+ | 2.4666 | 43.0 | 258 | 2.4374 |
92
+ | 2.4647 | 44.0 | 264 | 2.4361 |
93
+ | 2.4641 | 45.0 | 270 | 2.4319 |
94
+ | 2.4556 | 46.0 | 276 | 2.4306 |
95
+ | 2.4607 | 47.0 | 282 | 2.4319 |
96
+ | 2.4507 | 48.0 | 288 | 2.4338 |
97
+ | 2.4523 | 49.0 | 294 | 2.4340 |
98
+ | 2.4644 | 50.0 | 300 | 2.4371 |
99
+ | 2.4595 | 51.0 | 306 | 2.4372 |
100
+ | 2.4622 | 52.0 | 312 | 2.4298 |
101
+ | 2.4555 | 53.0 | 318 | 2.4276 |
102
+ | 2.4609 | 54.0 | 324 | 2.4290 |
103
+ | 2.4685 | 55.0 | 330 | 2.4316 |
104
+ | 2.4530 | 56.0 | 336 | 2.4337 |
105
+ | 2.4652 | 57.0 | 342 | 2.4332 |
106
+ | 2.4582 | 58.0 | 348 | 2.4312 |
107
+ | 2.4509 | 59.0 | 354 | 2.4326 |
108
+ | 2.4663 | 60.0 | 360 | 2.4349 |
109
+ | 2.4535 | 61.0 | 366 | 2.4359 |
110
+ | 2.4481 | 62.0 | 372 | 2.4344 |
111
+ | 2.4556 | 63.0 | 378 | 2.4331 |
112
+ | 2.4642 | 64.0 | 384 | 2.4321 |
113
+ | 2.4594 | 65.0 | 390 | 2.4323 |
114
+ | 2.4535 | 66.0 | 396 | 2.4330 |
115
+ | 2.4561 | 67.0 | 402 | 2.4332 |
116
+ | 2.4637 | 68.0 | 408 | 2.4332 |
117
+ | 2.4495 | 69.0 | 414 | 2.4326 |
118
+ | 2.4471 | 70.0 | 420 | 2.4326 |
119
 
120
 
121
  ### Framework versions