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madatnlp
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skgpt-base-kormath

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TensorFlow
gpt2
generated_from_keras_callback
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madatnlp commited on
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End of training

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Files changed (2) hide show
  1. README.md +29 -4
  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: 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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@@ -35,7 +35,7 @@ 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': 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
@@ -43,6 +43,31 @@ The following hyperparameters were used during training:
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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
 
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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: 0.4912
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+ - Validation Loss: 1.1109
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+ - Epoch: 25
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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': 5.3799995e-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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+ | 1.4350 | 1.1904 | 1 |
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+ | 1.3248 | 1.2871 | 2 |
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+ | 1.1661 | 1.4441 | 3 |
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+ | 1.0920 | 1.0973 | 4 |
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+ | 1.0431 | 1.3860 | 5 |
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+ | 0.9541 | 1.2228 | 6 |
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+ | 0.9315 | 1.0385 | 7 |
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+ | 0.8875 | 1.2156 | 8 |
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+ | 0.8838 | 1.0195 | 9 |
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+ | 0.8029 | 1.1956 | 10 |
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+ | 0.7533 | 1.1139 | 11 |
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+ | 0.7526 | 1.4868 | 12 |
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+ | 0.6986 | 1.1045 | 13 |
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+ | 0.6999 | 1.1083 | 14 |
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+ | 0.6462 | 1.0082 | 15 |
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+ | 0.6325 | 1.0643 | 16 |
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+ | 0.6350 | 1.0729 | 17 |
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+ | 0.6373 | 1.0455 | 18 |
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+ | 0.5922 | 1.2834 | 19 |
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+ | 0.5606 | 1.1031 | 20 |
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+ | 0.5241 | 1.3085 | 21 |
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+ | 0.5394 | 1.2911 | 22 |
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+ | 0.5486 | 1.2407 | 23 |
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+ | 0.5239 | 1.2075 | 24 |
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+ | 0.4912 | 1.1109 | 25 |
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  ### Framework versions
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