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calculator_model_test

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End of training

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Files changed (6) hide show
  1. README.md +51 -51
  2. config.json +2 -2
  3. model.safetensors +2 -2
  4. runs/Feb28_19-58-25_3897ec21fae5/events.out.tfevents.1709150306.3897ec21fae5.112417.0 +3 -0
  5. tokenizer.json +36 -37
  6. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1435
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  ## Model description
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@@ -44,56 +44,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.0221 | 1.0 | 6 | 2.2896 |
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- | 2.055 | 2.0 | 12 | 1.7915 |
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- | 1.6422 | 3.0 | 18 | 1.4365 |
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- | 1.2892 | 4.0 | 24 | 1.1407 |
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- | 1.0661 | 5.0 | 30 | 0.9557 |
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- | 0.9138 | 6.0 | 36 | 0.8362 |
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- | 0.8297 | 7.0 | 42 | 0.7370 |
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- | 0.7493 | 8.0 | 48 | 0.6858 |
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- | 0.7285 | 9.0 | 54 | 0.6761 |
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- | 0.6576 | 10.0 | 60 | 0.6179 |
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- | 0.6126 | 11.0 | 66 | 0.5748 |
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- | 0.57 | 12.0 | 72 | 0.5858 |
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- | 0.5453 | 13.0 | 78 | 0.5193 |
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- | 0.5309 | 14.0 | 84 | 0.5104 |
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- | 0.5394 | 15.0 | 90 | 0.5115 |
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- | 0.5024 | 16.0 | 96 | 0.4763 |
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- | 0.4642 | 17.0 | 102 | 0.4389 |
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- | 0.4478 | 18.0 | 108 | 0.4080 |
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- | 0.424 | 19.0 | 114 | 0.3999 |
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- | 0.4152 | 20.0 | 120 | 0.3876 |
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- | 0.3966 | 21.0 | 126 | 0.3982 |
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- | 0.3971 | 22.0 | 132 | 0.3669 |
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- | 0.369 | 23.0 | 138 | 0.3579 |
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- | 0.3584 | 24.0 | 144 | 0.3336 |
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- | 0.3577 | 25.0 | 150 | 0.3271 |
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- | 0.3279 | 26.0 | 156 | 0.3005 |
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- | 0.315 | 27.0 | 162 | 0.2841 |
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- | 0.3104 | 28.0 | 168 | 0.3149 |
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- | 0.3129 | 29.0 | 174 | 0.2906 |
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- | 0.2906 | 30.0 | 180 | 0.2925 |
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- | 0.2778 | 31.0 | 186 | 0.2644 |
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- | 0.276 | 32.0 | 192 | 0.2512 |
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- | 0.2685 | 33.0 | 198 | 0.2494 |
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- | 0.2524 | 34.0 | 204 | 0.2305 |
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- | 0.2488 | 35.0 | 210 | 0.2199 |
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- | 0.2411 | 36.0 | 216 | 0.2099 |
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- | 0.2167 | 37.0 | 222 | 0.2022 |
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- | 0.2175 | 38.0 | 228 | 0.1934 |
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- | 0.2113 | 39.0 | 234 | 0.1841 |
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- | 0.1923 | 40.0 | 240 | 0.1751 |
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- | 0.184 | 44.0 | 264 | 0.1600 |
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- | 0.1631 | 49.0 | 294 | 0.1447 |
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- | 0.1575 | 50.0 | 300 | 0.1435 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
15
  It achieves the following results on the evaluation set:
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+ - Loss: 0.5850
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.396 | 1.0 | 6 | 2.7406 |
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+ | 2.3939 | 2.0 | 12 | 1.9948 |
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+ | 1.7939 | 3.0 | 18 | 1.6558 |
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+ | 1.5985 | 4.0 | 24 | 1.6015 |
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+ | 1.6024 | 5.0 | 30 | 1.5540 |
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+ | 1.5383 | 6.0 | 36 | 1.5356 |
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+ | 1.4729 | 7.0 | 42 | 1.5437 |
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+ | 1.3622 | 9.0 | 54 | 1.4418 |
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+ | 1.3585 | 10.0 | 60 | 1.3501 |
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+ | 1.2883 | 11.0 | 66 | 1.2932 |
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+ | 1.2361 | 12.0 | 72 | 1.3210 |
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+ | 1.2274 | 13.0 | 78 | 1.2883 |
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+ | 1.2667 | 14.0 | 84 | 1.2169 |
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+ | 1.1679 | 15.0 | 90 | 1.1638 |
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+ | 1.1237 | 16.0 | 96 | 1.1617 |
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+ | 1.144 | 17.0 | 102 | 1.0919 |
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+ | 1.0771 | 18.0 | 108 | 1.0928 |
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+ | 1.059 | 19.0 | 114 | 1.0184 |
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+ | 1.0024 | 20.0 | 120 | 0.9676 |
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+ | 0.9949 | 21.0 | 126 | 0.9555 |
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+ | 0.986 | 22.0 | 132 | 1.0286 |
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+ | 1.0278 | 23.0 | 138 | 0.9337 |
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+ | 0.9413 | 24.0 | 144 | 0.9162 |
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+ | 0.912 | 25.0 | 150 | 0.9396 |
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+ | 0.9384 | 28.0 | 168 | 0.8820 |
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+ | 0.868 | 29.0 | 174 | 0.8468 |
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+ | 0.8512 | 30.0 | 180 | 0.8478 |
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+ | 0.8327 | 32.0 | 192 | 0.7622 |
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+ | 0.6895 | 42.0 | 252 | 0.6356 |
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+ | 0.6761 | 43.0 | 258 | 0.6202 |
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+ | 0.668 | 44.0 | 264 | 0.6174 |
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+ | 0.6735 | 45.0 | 270 | 0.6074 |
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+ | 0.6502 | 46.0 | 276 | 0.6019 |
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+ | 0.6427 | 47.0 | 282 | 0.5953 |
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+ | 0.6326 | 48.0 | 288 | 0.5904 |
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+ | 0.6467 | 49.0 | 294 | 0.5872 |
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+ | 0.6307 | 50.0 | 300 | 0.5850 |
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  ### Framework versions
config.json CHANGED
@@ -78,7 +78,7 @@
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  "typical_p": 1.0,
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  "use_bfloat16": false,
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  "use_cache": true,
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- "vocab_size": 53
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  },
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  "encoder": {
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  "use_cache": true,
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