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madatnlp
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codet5-kormath

Transformers
TensorFlow
t5
text2text-generation
generated_from_keras_callback
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madatnlp commited on
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add model

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  1. README.md +47 -32
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1967
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- - Validation Loss: 0.4570
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- - Epoch: 28
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  ## Model description
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@@ -42,35 +42,50 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 5.0517 | 2.2426 | 0 |
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- | 1.9413 | 1.3583 | 1 |
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- | 1.7250 | 1.3015 | 2 |
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- | 1.2929 | 1.1497 | 3 |
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- | 1.1521 | 1.0543 | 4 |
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- | 1.0552 | 0.9923 | 5 |
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- | 0.9877 | 0.9358 | 6 |
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- | 0.9393 | 0.8962 | 7 |
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- | 0.8904 | 0.8435 | 8 |
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- | 0.8369 | 0.7710 | 9 |
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- | 0.7724 | 0.7054 | 10 |
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- | 0.6976 | 0.6604 | 11 |
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- | 0.6317 | 0.5938 | 12 |
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- | 0.5702 | 0.5463 | 13 |
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- | 0.5198 | 0.5138 | 14 |
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- | 0.4856 | 0.5757 | 15 |
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- | 0.5134 | 0.5152 | 16 |
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- | 0.4554 | 0.4839 | 17 |
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- | 0.4111 | 0.4755 | 18 |
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- | 0.3778 | 0.4571 | 19 |
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- | 0.3484 | 0.4375 | 20 |
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- | 0.3246 | 0.4363 | 21 |
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- | 0.3097 | 0.4382 | 22 |
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- | 0.2871 | 0.4213 | 23 |
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- | 0.2677 | 0.4334 | 24 |
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- | 0.2473 | 0.4261 | 25 |
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- | 0.2291 | 0.4301 | 26 |
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- | 0.2132 | 0.4296 | 27 |
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- | 0.1967 | 0.4570 | 28 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1215
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+ - Validation Loss: 0.5475
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+ - Epoch: 43
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 6.8077 | 3.6916 | 0 |
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+ | 3.3252 | 2.3874 | 1 |
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+ | 2.2389 | 1.7377 | 2 |
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+ | 1.6852 | 1.3997 | 3 |
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+ | 1.3617 | 1.1785 | 4 |
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+ | 1.1875 | 1.0796 | 5 |
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+ | 1.0887 | 1.0150 | 6 |
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+ | 1.0234 | 0.9669 | 7 |
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+ | 0.9709 | 0.9350 | 8 |
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+ | 0.9292 | 0.9016 | 9 |
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+ | 0.8982 | 0.8763 | 10 |
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+ | 0.8653 | 0.8565 | 11 |
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+ | 0.8389 | 0.8378 | 12 |
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+ | 0.8094 | 0.8241 | 13 |
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+ | 0.7828 | 0.8078 | 14 |
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+ | 0.7631 | 0.7945 | 15 |
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+ | 0.7386 | 0.7856 | 16 |
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+ | 0.7209 | 0.7749 | 17 |
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+ | 0.7039 | 0.7703 | 18 |
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+ | 0.6858 | 0.7708 | 19 |
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+ | 0.6718 | 0.7705 | 20 |
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+ | 0.6544 | 0.7710 | 21 |
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+ | 0.6477 | 0.7728 | 22 |
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+ | 0.6289 | 0.7590 | 23 |
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+ | 0.6102 | 0.7616 | 24 |
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+ | 0.5966 | 0.7644 | 25 |
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+ | 0.5773 | 0.7559 | 26 |
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+ | 0.5597 | 0.7609 | 27 |
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+ | 0.5384 | 0.7823 | 28 |
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+ | 0.5256 | 0.7263 | 29 |
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+ | 0.4780 | 0.6671 | 30 |
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+ | 0.4328 | 0.6591 | 31 |
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+ | 0.3844 | 0.5918 | 32 |
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+ | 0.3366 | 0.5852 | 33 |
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+ | 0.3036 | 0.5633 | 34 |
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+ | 0.2746 | 0.5566 | 35 |
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+ | 0.2486 | 0.5644 | 36 |
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+ | 0.2286 | 0.5293 | 37 |
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+ | 0.2023 | 0.5256 | 38 |
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+ | 0.1870 | 0.5276 | 39 |
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+ | 0.1638 | 0.5272 | 40 |
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+ | 0.1479 | 0.5642 | 41 |
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+ | 0.1386 | 0.5482 | 42 |
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+ | 0.1215 | 0.5475 | 43 |
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  ### Framework versions
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