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zzox531
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calculator_model_test

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Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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  1. README.md +105 -44
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@@ -1,5 +1,6 @@
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  ---
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  library_name: transformers
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # calculator_model_test
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- This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1473
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  ## Model description
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@@ -33,58 +34,118 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.001
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  - train_batch_size: 512
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  - eval_batch_size: 512
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 40
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.1830 | 1.0 | 5 | 2.4821 |
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- | 2.2347 | 2.0 | 10 | 1.9107 |
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- | 1.7619 | 3.0 | 15 | 1.5968 |
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- | 1.4971 | 4.0 | 20 | 1.3529 |
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- | 1.2875 | 5.0 | 25 | 1.1387 |
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- | 1.0801 | 6.0 | 30 | 0.9574 |
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- | 0.9565 | 7.0 | 35 | 0.8945 |
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- | 0.8505 | 8.0 | 40 | 0.7750 |
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- | 0.7715 | 9.0 | 45 | 0.6957 |
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- | 0.6864 | 10.0 | 50 | 0.6441 |
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- | 0.6287 | 11.0 | 55 | 0.6094 |
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- | 0.6072 | 12.0 | 60 | 0.5544 |
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- | 0.5700 | 13.0 | 65 | 0.5136 |
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- | 0.5198 | 14.0 | 70 | 0.4681 |
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- | 0.4754 | 15.0 | 75 | 0.4410 |
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- | 0.4442 | 16.0 | 80 | 0.4018 |
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- | 0.4144 | 17.0 | 85 | 0.3832 |
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- | 0.3873 | 18.0 | 90 | 0.3401 |
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- | 0.3635 | 19.0 | 95 | 0.3241 |
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- | 0.3412 | 20.0 | 100 | 0.3004 |
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- | 0.3197 | 21.0 | 105 | 0.2810 |
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- | 0.3000 | 22.0 | 110 | 0.2676 |
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- | 0.2807 | 23.0 | 115 | 0.2538 |
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- | 0.2680 | 24.0 | 120 | 0.2357 |
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- | 0.2582 | 25.0 | 125 | 0.2288 |
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- | 0.2523 | 26.0 | 130 | 0.2159 |
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- | 0.2345 | 27.0 | 135 | 0.2039 |
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- | 0.2265 | 28.0 | 140 | 0.1979 |
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- | 0.2189 | 29.0 | 145 | 0.1889 |
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- | 0.2123 | 30.0 | 150 | 0.1835 |
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- | 0.2017 | 31.0 | 155 | 0.1800 |
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- | 0.1969 | 32.0 | 160 | 0.1708 |
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- | 0.1864 | 33.0 | 165 | 0.1665 |
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- | 0.1867 | 34.0 | 170 | 0.1614 |
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- | 0.1821 | 35.0 | 175 | 0.1566 |
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- | 0.1784 | 36.0 | 180 | 0.1537 |
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- | 0.1749 | 37.0 | 185 | 0.1496 |
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- | 0.1707 | 38.0 | 190 | 0.1502 |
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- | 0.1668 | 39.0 | 195 | 0.1485 |
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- | 0.1687 | 40.0 | 200 | 0.1473 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ base_model: zzox531/calculator_model_test
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # calculator_model_test
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+ This model is a fine-tuned version of [zzox531/calculator_model_test](https://huggingface.co/zzox531/calculator_model_test) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0566
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  ## Model description
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  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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  - train_batch_size: 512
39
  - eval_batch_size: 512
40
  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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45
  ### Training results
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47
  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1807 | 1.0 | 5 | 0.1524 |
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+ | 0.1720 | 2.0 | 10 | 0.1506 |
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+ | 0.1684 | 3.0 | 15 | 0.1488 |
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+ | 0.1650 | 4.0 | 20 | 0.1413 |
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+ | 0.1600 | 5.0 | 25 | 0.1404 |
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+ | 0.1596 | 6.0 | 30 | 0.1395 |
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+ | 0.1540 | 7.0 | 35 | 0.1335 |
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+ | 0.1535 | 8.0 | 40 | 0.1309 |
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+ | 0.1494 | 9.0 | 45 | 0.1302 |
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+ | 0.1469 | 10.0 | 50 | 0.1270 |
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+ | 0.1438 | 11.0 | 55 | 0.1246 |
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+ | 0.1441 | 12.0 | 60 | 0.1232 |
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+ | 0.1406 | 13.0 | 65 | 0.1215 |
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+ | 0.1368 | 14.0 | 70 | 0.1161 |
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+ | 0.1340 | 15.0 | 75 | 0.1152 |
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+ | 0.1309 | 16.0 | 80 | 0.1125 |
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+ | 0.1293 | 17.0 | 85 | 0.1114 |
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+ | 0.1266 | 18.0 | 90 | 0.1087 |
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+ | 0.1259 | 19.0 | 95 | 0.1065 |
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+ | 0.1229 | 20.0 | 100 | 0.1084 |
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+ | 0.1215 | 21.0 | 105 | 0.1039 |
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+ | 0.1193 | 22.0 | 110 | 0.1020 |
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+ | 0.1180 | 23.0 | 115 | 0.1019 |
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+ | 0.1147 | 24.0 | 120 | 0.1017 |
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+ | 0.1163 | 25.0 | 125 | 0.0958 |
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+ | 0.1137 | 26.0 | 130 | 0.0959 |
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+ | 0.1094 | 27.0 | 135 | 0.0936 |
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+ | 0.1099 | 28.0 | 140 | 0.0919 |
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+ | 0.1095 | 29.0 | 145 | 0.0913 |
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+ | 0.1076 | 30.0 | 150 | 0.0901 |
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+ | 0.1060 | 31.0 | 155 | 0.0875 |
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+ | 0.1057 | 32.0 | 160 | 0.0878 |
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+ | 0.1054 | 33.0 | 165 | 0.0876 |
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+ | 0.1050 | 34.0 | 170 | 0.0886 |
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+ | 0.1032 | 35.0 | 175 | 0.0841 |
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+ | 0.1018 | 36.0 | 180 | 0.0843 |
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+ | 0.1040 | 37.0 | 185 | 0.0816 |
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+ | 0.0998 | 38.0 | 190 | 0.0847 |
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+ | 0.0988 | 39.0 | 195 | 0.0805 |
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+ | 0.1018 | 40.0 | 200 | 0.0806 |
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+ | 0.0992 | 41.0 | 205 | 0.0800 |
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+ | 0.0998 | 42.0 | 210 | 0.0780 |
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+ | 0.0970 | 43.0 | 215 | 0.0766 |
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+ | 0.0948 | 44.0 | 220 | 0.0770 |
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+ | 0.0931 | 45.0 | 225 | 0.0745 |
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+ | 0.0934 | 46.0 | 230 | 0.0768 |
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+ | 0.0924 | 47.0 | 235 | 0.0754 |
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+ | 0.0906 | 48.0 | 240 | 0.0734 |
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+ | 0.0919 | 49.0 | 245 | 0.0754 |
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+ | 0.0897 | 50.0 | 250 | 0.0712 |
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+ | 0.0889 | 51.0 | 255 | 0.0721 |
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+ | 0.0882 | 52.0 | 260 | 0.0697 |
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+ | 0.0881 | 53.0 | 265 | 0.0718 |
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+ | 0.0859 | 54.0 | 270 | 0.0690 |
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+ | 0.0864 | 55.0 | 275 | 0.0700 |
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+ | 0.0844 | 56.0 | 280 | 0.0681 |
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+ | 0.0829 | 57.0 | 285 | 0.0686 |
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+ | 0.0855 | 58.0 | 290 | 0.0668 |
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+ | 0.0817 | 59.0 | 295 | 0.0671 |
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+ | 0.0821 | 60.0 | 300 | 0.0668 |
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+ | 0.0812 | 61.0 | 305 | 0.0653 |
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+ | 0.0800 | 62.0 | 310 | 0.0648 |
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+ | 0.0797 | 63.0 | 315 | 0.0650 |
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+ | 0.0794 | 64.0 | 320 | 0.0655 |
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+ | 0.0792 | 65.0 | 325 | 0.0643 |
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+ | 0.0796 | 66.0 | 330 | 0.0641 |
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+ | 0.0770 | 67.0 | 335 | 0.0631 |
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+ | 0.0796 | 68.0 | 340 | 0.0635 |
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+ | 0.0784 | 69.0 | 345 | 0.0626 |
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+ | 0.0767 | 70.0 | 350 | 0.0616 |
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+ | 0.0768 | 71.0 | 355 | 0.0615 |
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+ | 0.0738 | 72.0 | 360 | 0.0609 |
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+ | 0.0745 | 73.0 | 365 | 0.0617 |
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+ | 0.0784 | 74.0 | 370 | 0.0614 |
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+ | 0.0764 | 75.0 | 375 | 0.0613 |
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+ | 0.0744 | 76.0 | 380 | 0.0618 |
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+ | 0.0750 | 77.0 | 385 | 0.0602 |
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+ | 0.0754 | 78.0 | 390 | 0.0599 |
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+ | 0.0729 | 79.0 | 395 | 0.0602 |
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+ | 0.0727 | 80.0 | 400 | 0.0589 |
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+ | 0.0732 | 81.0 | 405 | 0.0597 |
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+ | 0.0756 | 82.0 | 410 | 0.0588 |
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+ | 0.0722 | 83.0 | 415 | 0.0580 |
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+ | 0.0703 | 84.0 | 420 | 0.0592 |
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+ | 0.0739 | 85.0 | 425 | 0.0582 |
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+ | 0.0705 | 86.0 | 430 | 0.0579 |
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+ | 0.0716 | 87.0 | 435 | 0.0584 |
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+ | 0.0703 | 88.0 | 440 | 0.0582 |
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+ | 0.0707 | 89.0 | 445 | 0.0576 |
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+ | 0.0707 | 90.0 | 450 | 0.0574 |
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+ | 0.0717 | 91.0 | 455 | 0.0574 |
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+ | 0.0712 | 92.0 | 460 | 0.0572 |
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+ | 0.0707 | 93.0 | 465 | 0.0572 |
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+ | 0.0691 | 94.0 | 470 | 0.0570 |
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+ | 0.0694 | 95.0 | 475 | 0.0567 |
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+ | 0.0690 | 96.0 | 480 | 0.0567 |
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+ | 0.0703 | 97.0 | 485 | 0.0567 |
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+ | 0.0698 | 98.0 | 490 | 0.0566 |
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+ | 0.0695 | 99.0 | 495 | 0.0566 |
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+ | 0.0696 | 100.0 | 500 | 0.0566 |
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  ### Framework versions