jonaskoenig commited on
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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: jonaskoenig/topic_classification_04
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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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- # jonaskoenig/topic_classification_04
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  This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.8448
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- - Train Sparse Categorical Accuracy: 0.7199
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- - Epoch: 8
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  ## Model description
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@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
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  | 0.8707 | 0.7120 | 6 |
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  | 0.8578 | 0.7160 | 7 |
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  | 0.8448 | 0.7199 | 8 |
 
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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: topic_classification_04
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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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+ # topic_classification_04
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  This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.8325
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+ - Train Sparse Categorical Accuracy: 0.7237
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+ - Epoch: 9
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  ## Model description
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  | 0.8707 | 0.7120 | 6 |
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  | 0.8578 | 0.7160 | 7 |
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  | 0.8448 | 0.7199 | 8 |
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+ | 0.8325 | 0.7237 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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  size 51159352
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:decfe12b70109af8215318fbc5150e8effb55949fa9897ce23981bbbaf6844ba
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  size 51159352