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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 (5) hide show
  1. README.md +42 -42
  2. model.safetensors +1 -1
  3. runs/Mar04_14-22-00_dd5a9353f29e/events.out.tfevents.1709562121.dd5a9353f29e.390.0 +3 -0
  4. tokenizer.json +30 -30
  5. 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: 0.0868
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  ## Model description
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@@ -44,51 +44,51 @@ 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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- | 2.9639 | 1.0 | 6 | 2.2327 |
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- | 2.0112 | 2.0 | 12 | 1.7195 |
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- | 1.5448 | 3.0 | 18 | 1.3346 |
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- | 1.2344 | 4.0 | 24 | 1.1502 |
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- | 1.0961 | 5.0 | 30 | 1.0083 |
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- | 0.9938 | 6.0 | 36 | 0.9712 |
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- | 0.9205 | 7.0 | 42 | 0.8846 |
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- | 0.8293 | 8.0 | 48 | 0.7529 |
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- | 0.7735 | 9.0 | 54 | 0.7236 |
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- | 0.7284 | 10.0 | 60 | 0.7006 |
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- | 0.673 | 11.0 | 66 | 0.6580 |
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- | 0.6238 | 12.0 | 72 | 0.5931 |
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- | 0.5871 | 13.0 | 78 | 0.5475 |
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- | 0.548 | 14.0 | 84 | 0.4944 |
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- | 0.5 | 15.0 | 90 | 0.4888 |
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- | 0.4772 | 16.0 | 96 | 0.4259 |
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- | 0.4605 | 17.0 | 102 | 0.4471 |
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- | 0.4191 | 18.0 | 108 | 0.3692 |
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- | 0.3724 | 19.0 | 114 | 0.3329 |
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- | 0.3483 | 20.0 | 120 | 0.3270 |
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- | 0.3268 | 21.0 | 126 | 0.2739 |
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- | 0.2884 | 22.0 | 132 | 0.2396 |
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- | 0.2567 | 23.0 | 138 | 0.2038 |
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- | 0.2415 | 24.0 | 144 | 0.2121 |
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- | 0.2322 | 25.0 | 150 | 0.1778 |
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- | 0.1971 | 26.0 | 156 | 0.1631 |
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- | 0.2065 | 27.0 | 162 | 0.1592 |
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- | 0.1918 | 28.0 | 168 | 0.1422 |
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- | 0.1854 | 29.0 | 174 | 0.1359 |
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- | 0.1691 | 30.0 | 180 | 0.1291 |
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- | 0.1645 | 31.0 | 186 | 0.1201 |
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- | 0.1614 | 32.0 | 192 | 0.1138 |
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- | 0.1435 | 33.0 | 198 | 0.1082 |
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- | 0.1354 | 34.0 | 204 | 0.1014 |
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- | 0.129 | 35.0 | 210 | 0.0956 |
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- | 0.1298 | 36.0 | 216 | 0.0971 |
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- | 0.1266 | 37.0 | 222 | 0.0916 |
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- | 0.1374 | 38.0 | 228 | 0.0919 |
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- | 0.1217 | 39.0 | 234 | 0.0882 |
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- | 0.1341 | 40.0 | 240 | 0.0868 |
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  ### Framework versions
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  - Transformers 4.38.1
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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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: 0.1268
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.9786 | 1.0 | 6 | 2.2468 |
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+ | 2.0116 | 2.0 | 12 | 1.7255 |
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+ | 1.5628 | 3.0 | 18 | 1.3183 |
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+ | 1.2273 | 4.0 | 24 | 1.0790 |
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+ | 1.0219 | 5.0 | 30 | 0.9549 |
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+ | 0.9147 | 6.0 | 36 | 0.8300 |
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+ | 0.7993 | 7.0 | 42 | 0.7326 |
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+ | 0.7256 | 8.0 | 48 | 0.7028 |
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+ | 0.6677 | 9.0 | 54 | 0.6345 |
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+ | 0.6369 | 10.0 | 60 | 0.5926 |
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+ | 0.5883 | 11.0 | 66 | 0.5722 |
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+ | 0.5506 | 12.0 | 72 | 0.5835 |
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+ | 0.5504 | 13.0 | 78 | 0.5491 |
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+ | 0.5232 | 14.0 | 84 | 0.5165 |
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+ | 0.4977 | 15.0 | 90 | 0.4719 |
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+ | 0.4754 | 16.0 | 96 | 0.4910 |
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+ | 0.4706 | 17.0 | 102 | 0.4623 |
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+ | 0.4659 | 18.0 | 108 | 0.4202 |
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+ | 0.4186 | 19.0 | 114 | 0.3720 |
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+ | 0.385 | 20.0 | 120 | 0.3768 |
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+ | 0.3692 | 21.0 | 126 | 0.3751 |
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+ | 0.3775 | 22.0 | 132 | 0.3508 |
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+ | 0.3359 | 23.0 | 138 | 0.3427 |
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+ | 0.3412 | 24.0 | 144 | 0.3015 |
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+ | 0.3128 | 25.0 | 150 | 0.2826 |
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+ | 0.2892 | 26.0 | 156 | 0.2688 |
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+ | 0.28 | 27.0 | 162 | 0.2512 |
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+ | 0.2653 | 28.0 | 168 | 0.2385 |
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+ | 0.255 | 29.0 | 174 | 0.2275 |
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+ | 0.249 | 30.0 | 180 | 0.2108 |
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+ | 0.2316 | 31.0 | 186 | 0.1894 |
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+ | 0.2184 | 32.0 | 192 | 0.1777 |
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+ | 0.2057 | 33.0 | 198 | 0.1644 |
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+ | 0.186 | 34.0 | 204 | 0.1527 |
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+ | 0.1853 | 35.0 | 210 | 0.1484 |
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+ | 0.1721 | 36.0 | 216 | 0.1380 |
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+ | 0.165 | 37.0 | 222 | 0.1336 |
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+ | 0.1544 | 38.0 | 228 | 0.1299 |
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+ | 0.153 | 39.0 | 234 | 0.1288 |
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+ | 0.158 | 40.0 | 240 | 0.1268 |
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  ### Framework versions
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  - Transformers 4.38.1
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.2
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