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Training in progress epoch 0

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  1. README.md +6 -15
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: decision-distilbert-uncased
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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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- # decision-distilbert-uncased
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0102
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- - Train Accuracy: 0.9995
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- - Epoch: 9
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  ## Model description
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@@ -42,16 +42,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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- | 0.5648 | 0.8540 | 0 |
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- | 0.2213 | 0.9695 | 1 |
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- | 0.1047 | 0.9835 | 2 |
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- | 0.0664 | 0.9910 | 3 |
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- | 0.0476 | 0.9915 | 4 |
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- | 0.0324 | 0.9950 | 5 |
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- | 0.0228 | 0.9970 | 6 |
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- | 0.0185 | 0.9965 | 7 |
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- | 0.0130 | 0.9990 | 8 |
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- | 0.0102 | 0.9995 | 9 |
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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: AnaniyaX/decision-distilbert-uncased
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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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+ # AnaniyaX/decision-distilbert-uncased
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1914
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+ - Train Accuracy: 0.9444
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+ - Epoch: 0
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  ## Model description
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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+ | 0.1914 | 0.9444 | 0 |
 
 
 
 
 
 
 
 
 
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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 267955144
 
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