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  1. README.md +6 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ license: mit
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: channotte/gpt2-Georges-sand
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # channotte/gpt2-Georges-sand
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 10.9422
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- - Validation Loss: 10.8815
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- - Epoch: 1
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  ## Model description
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@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
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  |:----------:|:---------------:|:-----:|
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  | 10.9815 | 10.9683 | 0 |
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  | 10.9422 | 10.8815 | 1 |
 
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: gpt2-Georges-sand
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # gpt2-Georges-sand
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 10.8530
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+ - Validation Loss: 10.7406
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:---------------:|:-----:|
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  | 10.9815 | 10.9683 | 0 |
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  | 10.9422 | 10.8815 | 1 |
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+ | 10.8530 | 10.7406 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 497935440
 
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  size 497935440