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adambiel22
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calculator_model_test

Text2Text Generation
Transformers
TensorBoard
Safetensors
encoder-decoder
Generated from Trainer
Inference Endpoints
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End of training

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Files changed (6) hide show
  1. README.md +41 -41
  2. config.json +2 -2
  3. model.safetensors +2 -2
  4. runs/Mar04_14-41-47_7c339ad63e68/events.out.tfevents.1709563307.7c339ad63e68.836.2 +3 -0
  5. tokenizer.json +59 -35
  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: 0.0914
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  ## Model description
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@@ -44,46 +44,46 @@ 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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- | 2.9231 | 1.0 | 6 | 2.2571 |
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- | 2.0141 | 2.0 | 12 | 1.6996 |
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- | 1.5309 | 3.0 | 18 | 1.2998 |
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- | 1.1976 | 4.0 | 24 | 1.0513 |
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- | 1.0164 | 5.0 | 30 | 0.9962 |
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- | 0.9314 | 6.0 | 36 | 0.8360 |
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- | 0.8189 | 7.0 | 42 | 0.7625 |
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- | 0.7377 | 8.0 | 48 | 0.6906 |
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- | 0.6797 | 9.0 | 54 | 0.6286 |
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- | 0.6326 | 10.0 | 60 | 0.6023 |
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- | 0.6027 | 11.0 | 66 | 0.5696 |
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- | 0.5668 | 12.0 | 72 | 0.5291 |
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- | 0.5397 | 13.0 | 78 | 0.5183 |
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- | 0.5151 | 14.0 | 84 | 0.4830 |
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- | 0.4827 | 15.0 | 90 | 0.4806 |
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- | 0.471 | 16.0 | 96 | 0.4802 |
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- | 0.472 | 17.0 | 102 | 0.4500 |
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- | 0.4374 | 18.0 | 108 | 0.4284 |
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- | 0.4336 | 19.0 | 114 | 0.3807 |
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- | 0.3985 | 20.0 | 120 | 0.3672 |
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- | 0.38 | 21.0 | 126 | 0.3423 |
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- | 0.3577 | 22.0 | 132 | 0.3290 |
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- | 0.3397 | 23.0 | 138 | 0.2871 |
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- | 0.3092 | 24.0 | 144 | 0.2936 |
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- | 0.3086 | 25.0 | 150 | 0.2556 |
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- | 0.2831 | 26.0 | 156 | 0.2386 |
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- | 0.2589 | 27.0 | 162 | 0.2183 |
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- | 0.2458 | 28.0 | 168 | 0.2022 |
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- | 0.2312 | 29.0 | 174 | 0.1880 |
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- | 0.2213 | 30.0 | 180 | 0.1704 |
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- | 0.2023 | 31.0 | 186 | 0.1577 |
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- | 0.1948 | 32.0 | 192 | 0.1401 |
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- | 0.1776 | 33.0 | 198 | 0.1287 |
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- | 0.1645 | 34.0 | 204 | 0.1158 |
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- | 0.1569 | 35.0 | 210 | 0.1128 |
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- | 0.1495 | 36.0 | 216 | 0.1032 |
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- | 0.1435 | 37.0 | 222 | 0.0988 |
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- | 0.1364 | 38.0 | 228 | 0.0972 |
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- | 0.138 | 39.0 | 234 | 0.0930 |
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- | 0.1294 | 40.0 | 240 | 0.0914 |
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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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0095
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18
  ## Model description
19
 
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.4753 | 1.0 | 13 | 1.7336 |
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+ | 1.3843 | 2.0 | 26 | 0.9380 |
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+ | 0.8281 | 3.0 | 39 | 0.7141 |
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+ | 0.6509 | 4.0 | 52 | 0.5507 |
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+ | 0.5643 | 5.0 | 65 | 0.5065 |
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+ | 0.5155 | 6.0 | 78 | 0.4642 |
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+ | 0.445 | 7.0 | 91 | 0.3848 |
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+ | 0.3912 | 8.0 | 104 | 0.3584 |
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+ | 0.3564 | 9.0 | 117 | 0.3142 |
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+ | 0.3175 | 10.0 | 130 | 0.2663 |
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+ | 0.2765 | 11.0 | 143 | 0.2291 |
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+ | 0.2436 | 12.0 | 156 | 0.1915 |
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+ | 0.2186 | 13.0 | 169 | 0.1556 |
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+ | 0.1646 | 14.0 | 182 | 0.1097 |
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+ | 0.1504 | 15.0 | 195 | 0.0862 |
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+ | 0.113 | 16.0 | 208 | 0.0725 |
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+ | 0.0864 | 17.0 | 221 | 0.0500 |
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+ | 0.0722 | 18.0 | 234 | 0.0425 |
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+ | 0.0654 | 19.0 | 247 | 0.0389 |
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+ | 0.0581 | 20.0 | 260 | 0.0312 |
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+ | 0.052 | 21.0 | 273 | 0.0284 |
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+ | 0.0459 | 22.0 | 286 | 0.0275 |
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+ | 0.0426 | 23.0 | 299 | 0.0213 |
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+ | 0.0381 | 24.0 | 312 | 0.0200 |
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+ | 0.0374 | 25.0 | 325 | 0.0186 |
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+ | 0.0334 | 26.0 | 338 | 0.0185 |
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+ | 0.0307 | 27.0 | 351 | 0.0157 |
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+ | 0.0292 | 28.0 | 364 | 0.0147 |
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+ | 0.0269 | 29.0 | 377 | 0.0146 |
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+ | 0.0261 | 30.0 | 390 | 0.0129 |
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+ | 0.0248 | 31.0 | 403 | 0.0121 |
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+ | 0.0237 | 32.0 | 416 | 0.0114 |
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+ | 0.023 | 33.0 | 429 | 0.0115 |
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+ | 0.0217 | 34.0 | 442 | 0.0109 |
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+ | 0.0208 | 35.0 | 455 | 0.0101 |
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+ | 0.0205 | 36.0 | 468 | 0.0102 |
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+ | 0.0197 | 37.0 | 481 | 0.0098 |
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+ | 0.0193 | 38.0 | 494 | 0.0096 |
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+ | 0.019 | 39.0 | 507 | 0.0094 |
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+ | 0.0188 | 40.0 | 520 | 0.0095 |
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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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  },
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  "encoder": {
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