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Training in progress epoch 0

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  1. README.md +5 -29
  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 [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.2783
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- - Validation Loss: 1.9583
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- - Epoch: 24
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  ## Model description
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@@ -35,38 +35,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'Adam', 'learning_rate': 0.0005777778, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 3.6295 | 2.2711 | 0 |
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- | 1.8784 | 1.7125 | 1 |
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- | 1.6000 | 1.6337 | 2 |
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- | 1.3763 | 1.3521 | 3 |
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- | 1.1877 | 1.2265 | 4 |
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- | 1.0326 | 1.2537 | 5 |
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- | 0.9588 | 1.3880 | 6 |
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- | 0.8697 | 1.4052 | 7 |
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- | 0.7819 | 1.2593 | 8 |
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- | 0.7058 | 1.4996 | 9 |
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- | 0.7005 | 1.5219 | 10 |
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- | 0.6360 | 1.3806 | 11 |
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- | 0.5840 | 1.3250 | 12 |
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- | 0.5214 | 1.4015 | 13 |
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- | 0.5336 | 1.4069 | 14 |
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- | 0.4560 | 1.4785 | 15 |
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- | 0.4384 | 1.5539 | 16 |
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- | 0.4137 | 1.3971 | 17 |
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- | 0.3985 | 1.6061 | 18 |
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- | 0.3874 | 1.5328 | 19 |
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- | 0.3389 | 1.5204 | 20 |
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- | 0.3212 | 1.6929 | 21 |
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- | 0.3282 | 1.4923 | 22 |
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- | 0.2956 | 1.5278 | 23 |
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- | 0.2783 | 1.9583 | 24 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.0777
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+ - Validation Loss: 1.5042
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+ - Epoch: 0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 2.0777 | 1.5042 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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