Hugging Face's logo

WokenDisaster
/
calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
Model card Files
xet
 Community
WokenDisaster commited on
Commit
dd0deb5
·
verified ·
1 Parent(s): e3a7b1e

End of training

Browse files
Files changed (1) hide show
  1. README.md +95 -0
README.md ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: calculator_model_test
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
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: 0.7355
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 0.001
37
+ - train_batch_size: 512
38
+ - eval_batch_size: 512
39
+ - seed: 42
40
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 40
43
+
44
+ ### Training results
45
+
46
+ | Training Loss | Epoch | Step | Validation Loss |
47
+ |:-------------:|:-----:|:----:|:---------------:|
48
+ | 3.3780 | 1.0 | 6 | 2.7619 |
49
+ | 2.3653 | 2.0 | 12 | 1.9806 |
50
+ | 1.8135 | 3.0 | 18 | 1.7048 |
51
+ | 1.6665 | 4.0 | 24 | 1.6037 |
52
+ | 1.6130 | 5.0 | 30 | 1.5829 |
53
+ | 1.5728 | 6.0 | 36 | 1.5338 |
54
+ | 1.5328 | 7.0 | 42 | 1.5101 |
55
+ | 1.4865 | 8.0 | 48 | 1.4820 |
56
+ | 1.4839 | 9.0 | 54 | 1.4680 |
57
+ | 1.4541 | 10.0 | 60 | 1.4679 |
58
+ | 1.4324 | 11.0 | 66 | 1.4330 |
59
+ | 1.4104 | 12.0 | 72 | 1.4058 |
60
+ | 1.3761 | 13.0 | 78 | 1.3999 |
61
+ | 1.3623 | 14.0 | 84 | 1.3250 |
62
+ | 1.3036 | 15.0 | 90 | 1.2529 |
63
+ | 1.2079 | 16.0 | 96 | 1.1756 |
64
+ | 1.1945 | 17.0 | 102 | 1.1626 |
65
+ | 1.1495 | 18.0 | 108 | 1.1486 |
66
+ | 1.1182 | 19.0 | 114 | 1.0547 |
67
+ | 1.1258 | 20.0 | 120 | 1.0511 |
68
+ | 1.0633 | 21.0 | 126 | 0.9869 |
69
+ | 1.0325 | 22.0 | 132 | 1.0065 |
70
+ | 0.9872 | 23.0 | 138 | 1.0223 |
71
+ | 0.9750 | 24.0 | 144 | 0.9260 |
72
+ | 0.9233 | 25.0 | 150 | 0.8954 |
73
+ | 0.9047 | 26.0 | 156 | 0.9252 |
74
+ | 0.9108 | 27.0 | 162 | 1.0835 |
75
+ | 0.9996 | 28.0 | 168 | 0.9048 |
76
+ | 0.9074 | 29.0 | 174 | 0.8987 |
77
+ | 0.9140 | 30.0 | 180 | 0.9117 |
78
+ | 0.8903 | 31.0 | 186 | 0.8308 |
79
+ | 0.8400 | 32.0 | 192 | 0.8109 |
80
+ | 0.8132 | 33.0 | 198 | 0.7858 |
81
+ | 0.8104 | 34.0 | 204 | 0.7726 |
82
+ | 0.8046 | 35.0 | 210 | 0.7656 |
83
+ | 0.7920 | 36.0 | 216 | 0.7540 |
84
+ | 0.7715 | 37.0 | 222 | 0.7493 |
85
+ | 0.7849 | 38.0 | 228 | 0.7372 |
86
+ | 0.7567 | 39.0 | 234 | 0.7368 |
87
+ | 0.7689 | 40.0 | 240 | 0.7355 |
88
+
89
+
90
+ ### Framework versions
91
+
92
+ - Transformers 5.0.0
93
+ - Pytorch 2.10.0+cu128
94
+ - Datasets 4.0.0
95
+ - Tokenizers 0.22.2