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calculator_model_test2

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  1. README.md +54 -43
  2. config.json +1 -0
  3. model.safetensors +1 -1
  4. runs/Mar04_14-37-56_5079440c9743/events.out.tfevents.1709563077.5079440c9743.368.2 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -11,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # calculator_model_test2
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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: 0.1318
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  ## Model description
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@@ -38,52 +39,62 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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- | 2.9409 | 1.0 | 6 | 2.2604 |
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- | 2.0221 | 2.0 | 12 | 1.7164 |
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- | 1.5231 | 3.0 | 18 | 1.2971 |
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- | 1.1926 | 4.0 | 24 | 1.0828 |
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- | 1.0328 | 5.0 | 30 | 0.9510 |
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- | 0.9177 | 6.0 | 36 | 0.8256 |
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- | 0.8079 | 7.0 | 42 | 0.7383 |
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- | 0.7261 | 8.0 | 48 | 0.6878 |
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- | 0.6844 | 9.0 | 54 | 0.6245 |
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- | 0.6421 | 10.0 | 60 | 0.5833 |
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- | 0.6088 | 11.0 | 66 | 0.5801 |
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- | 0.5638 | 12.0 | 72 | 0.5270 |
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- | 0.5326 | 13.0 | 78 | 0.4975 |
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- | 0.5134 | 14.0 | 84 | 0.5070 |
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- | 0.5135 | 15.0 | 90 | 0.4415 |
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- | 0.468 | 16.0 | 96 | 0.4325 |
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- | 0.4442 | 17.0 | 102 | 0.4200 |
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- | 0.4214 | 18.0 | 108 | 0.4241 |
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- | 0.4115 | 19.0 | 114 | 0.3691 |
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- | 0.3885 | 20.0 | 120 | 0.3460 |
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- | 0.3641 | 21.0 | 126 | 0.3261 |
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- | 0.3445 | 22.0 | 132 | 0.2990 |
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- | 0.3198 | 23.0 | 138 | 0.2776 |
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- | 0.3043 | 24.0 | 144 | 0.2610 |
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- | 0.2885 | 25.0 | 150 | 0.2424 |
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- | 0.2709 | 26.0 | 156 | 0.2312 |
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- | 0.2537 | 27.0 | 162 | 0.2321 |
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- | 0.2475 | 28.0 | 168 | 0.2040 |
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- | 0.231 | 29.0 | 174 | 0.1949 |
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- | 0.2228 | 30.0 | 180 | 0.1797 |
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- | 0.2015 | 31.0 | 186 | 0.1713 |
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- | 0.202 | 32.0 | 192 | 0.1616 |
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- | 0.1793 | 33.0 | 198 | 0.1583 |
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- | 0.1849 | 34.0 | 204 | 0.1512 |
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- | 0.1726 | 35.0 | 210 | 0.1464 |
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- | 0.1703 | 36.0 | 216 | 0.1451 |
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- | 0.1611 | 37.0 | 222 | 0.1394 |
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- | 0.166 | 38.0 | 228 | 0.1353 |
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- | 0.1595 | 39.0 | 234 | 0.1326 |
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- | 0.1526 | 40.0 | 240 | 0.1318 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ base_model: LordAbsurd2137/calculator_model_test2
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # calculator_model_test2
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+ This model is a fine-tuned version of [LordAbsurd2137/calculator_model_test2](https://huggingface.co/LordAbsurd2137/calculator_model_test2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0222
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0953 | 1.0 | 6 | 0.6430 |
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+ | 0.5025 | 2.0 | 12 | 0.4289 |
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+ | 0.3633 | 3.0 | 18 | 0.3352 |
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+ | 0.3426 | 4.0 | 24 | 0.2911 |
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+ | 0.284 | 5.0 | 30 | 0.2464 |
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+ | 0.2408 | 6.0 | 36 | 0.1998 |
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+ | 0.2168 | 7.0 | 42 | 0.1874 |
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+ | 0.1815 | 8.0 | 48 | 0.1592 |
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+ | 0.1684 | 9.0 | 54 | 0.1547 |
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+ | 0.1604 | 10.0 | 60 | 0.1707 |
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+ | 0.1603 | 11.0 | 66 | 0.1516 |
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+ | 0.1498 | 12.0 | 72 | 0.1220 |
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+ | 0.1307 | 13.0 | 78 | 0.1079 |
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+ | 0.1154 | 14.0 | 84 | 0.1270 |
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+ | 0.1157 | 15.0 | 90 | 0.0997 |
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+ | 0.1038 | 16.0 | 96 | 0.0919 |
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+ | 0.1005 | 17.0 | 102 | 0.1005 |
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+ | 0.097 | 18.0 | 108 | 0.1103 |
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+ | 0.1019 | 19.0 | 114 | 0.1285 |
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+ | 0.1067 | 20.0 | 120 | 0.1202 |
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+ | 0.0995 | 21.0 | 126 | 0.0810 |
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+ | 0.0799 | 22.0 | 132 | 0.0774 |
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+ | 0.0723 | 23.0 | 138 | 0.0678 |
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+ | 0.0656 | 24.0 | 144 | 0.0655 |
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+ | 0.0666 | 25.0 | 150 | 0.0637 |
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+ | 0.0606 | 26.0 | 156 | 0.0541 |
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+ | 0.0562 | 27.0 | 162 | 0.0497 |
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+ | 0.0524 | 28.0 | 168 | 0.0519 |
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+ | 0.0556 | 29.0 | 174 | 0.0616 |
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+ | 0.0584 | 30.0 | 180 | 0.0448 |
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+ | 0.0496 | 31.0 | 186 | 0.0451 |
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+ | 0.0484 | 32.0 | 192 | 0.0413 |
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+ | 0.0454 | 33.0 | 198 | 0.0444 |
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+ | 0.0411 | 34.0 | 204 | 0.0423 |
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+ | 0.0395 | 35.0 | 210 | 0.0376 |
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+ | 0.0383 | 36.0 | 216 | 0.0358 |
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+ | 0.0373 | 37.0 | 222 | 0.0326 |
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+ | 0.035 | 38.0 | 228 | 0.0286 |
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+ | 0.0323 | 39.0 | 234 | 0.0307 |
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+ | 0.0306 | 40.0 | 240 | 0.0279 |
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+ | 0.029 | 41.0 | 246 | 0.0265 |
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+ | 0.0296 | 42.0 | 252 | 0.0259 |
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+ | 0.0263 | 43.0 | 258 | 0.0259 |
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+ | 0.0244 | 44.0 | 264 | 0.0232 |
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+ | 0.0264 | 45.0 | 270 | 0.0234 |
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+ | 0.0263 | 46.0 | 276 | 0.0226 |
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+ | 0.0223 | 47.0 | 282 | 0.0227 |
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+ | 0.0225 | 48.0 | 288 | 0.0224 |
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+ | 0.0218 | 49.0 | 294 | 0.0222 |
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+ | 0.0216 | 50.0 | 300 | 0.0222 |
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  ### Framework versions
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