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madatnlp
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gamza-bart-for-kormath

Text2Text Generation
Transformers
TensorFlow
bart
generated_from_keras_callback
Inference Endpoints
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End of training

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  1. README.md +32 -3
  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 [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 4.4155
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- - Validation Loss: 1.9300
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- - Epoch: 0
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  ## Model description
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@@ -43,6 +43,35 @@ The following hyperparameters were used during training:
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 4.4155 | 1.9300 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1418
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+ - Validation Loss: 0.3009
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+ - Epoch: 29
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  ## Model description
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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  | 4.4155 | 1.9300 | 0 |
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+ | 1.4995 | 1.0293 | 1 |
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+ | 1.0445 | 0.8365 | 2 |
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+ | 0.8775 | 0.7569 | 3 |
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+ | 0.8198 | 0.7778 | 4 |
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+ | 0.7619 | 0.7430 | 5 |
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+ | 0.7324 | 0.7259 | 6 |
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+ | 0.7234 | 0.7214 | 7 |
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+ | 0.6697 | 0.6819 | 8 |
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+ | 0.6599 | 0.6673 | 9 |
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+ | 0.6387 | 0.6433 | 10 |
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+ | 0.6227 | 0.6651 | 11 |
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+ | 0.6017 | 0.6128 | 12 |
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+ | 0.5820 | 0.6430 | 13 |
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+ | 0.5229 | 0.5611 | 14 |
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+ | 0.4617 | 0.4675 | 15 |
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+ | 0.4071 | 0.4463 | 16 |
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+ | 0.3495 | 0.4213 | 17 |
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+ | 0.3202 | 0.4103 | 18 |
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+ | 0.2875 | 0.4477 | 19 |
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+ | 0.2528 | 0.3244 | 20 |
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+ | 0.2331 | 0.4037 | 21 |
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+ | 0.2117 | 0.3041 | 22 |
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+ | 0.1943 | 0.3069 | 23 |
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+ | 0.1805 | 0.3385 | 24 |
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+ | 0.2267 | 0.3347 | 25 |
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+ | 0.2049 | 0.2993 | 26 |
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+ | 0.1800 | 0.3792 | 27 |
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+ | 0.1583 | 0.2905 | 28 |
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+ | 0.1418 | 0.3009 | 29 |
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  ### Framework versions
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