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End of training

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  1. README.md +29 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,9 +13,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 3.4242
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- - Validation Loss: 2.0873
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- - Epoch: 0
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  ## Model description
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@@ -42,6 +42,32 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 3.4242 | 2.0873 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.3205
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+ - Validation Loss: 1.1407
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+ - Epoch: 26
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 3.4242 | 2.0873 | 0 |
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+ | 1.9159 | 1.6264 | 1 |
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+ | 1.5933 | 1.4521 | 2 |
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+ | 1.3806 | 1.3584 | 3 |
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+ | 1.2487 | 1.2904 | 4 |
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+ | 1.1464 | 1.2388 | 5 |
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+ | 1.0552 | 1.2076 | 6 |
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+ | 0.9889 | 1.1818 | 7 |
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+ | 0.9118 | 1.1607 | 8 |
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+ | 0.8459 | 1.1349 | 9 |
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+ | 0.7838 | 1.1193 | 10 |
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+ | 0.7389 | 1.1193 | 11 |
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+ | 0.6864 | 1.1080 | 12 |
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+ | 0.6495 | 1.1001 | 13 |
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+ | 0.6103 | 1.1001 | 14 |
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+ | 0.5795 | 1.0990 | 15 |
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+ | 0.5436 | 1.0954 | 16 |
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+ | 0.5136 | 1.0997 | 17 |
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+ | 0.4906 | 1.0954 | 18 |
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+ | 0.4565 | 1.1021 | 19 |
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+ | 0.4347 | 1.1075 | 20 |
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+ | 0.4131 | 1.1075 | 21 |
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+ | 0.3924 | 1.1220 | 22 |
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+ | 0.3741 | 1.1298 | 23 |
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+ | 0.3549 | 1.1352 | 24 |
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+ | 0.3395 | 1.1286 | 25 |
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+ | 0.3205 | 1.1407 | 26 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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