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Training in progress epoch 17

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  1. README.md +5 -3
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.4409
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- - Validation Loss: 0.4969
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  - Train Precision: 0.0
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  - Train Recall: 0.0
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  - Train F1: 0.0
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  - Train Accuracy: 0.9140
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- - Epoch: 15
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  ## Model description
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@@ -62,6 +62,8 @@ The following hyperparameters were used during training:
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  | 0.4619 | 0.5075 | 0.0 | 0.0 | 0.0 | 0.9140 | 13 |
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  | 0.4268 | 0.5022 | 0.0 | 0.0 | 0.0 | 0.9140 | 14 |
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  | 0.4409 | 0.4969 | 0.0 | 0.0 | 0.0 | 0.9140 | 15 |
 
 
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  ### Framework versions
 
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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: 0.4687
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+ - Validation Loss: 0.4834
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  - Train Precision: 0.0
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  - Train Recall: 0.0
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  - Train F1: 0.0
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  - Train Accuracy: 0.9140
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+ - Epoch: 17
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  ## Model description
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  | 0.4619 | 0.5075 | 0.0 | 0.0 | 0.0 | 0.9140 | 13 |
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  | 0.4268 | 0.5022 | 0.0 | 0.0 | 0.0 | 0.9140 | 14 |
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  | 0.4409 | 0.4969 | 0.0 | 0.0 | 0.0 | 0.9140 | 15 |
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+ | 0.4958 | 0.4902 | 0.0 | 0.0 | 0.0 | 0.9140 | 16 |
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+ | 0.4687 | 0.4834 | 0.0 | 0.0 | 0.0 | 0.9140 | 17 |
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  ### Framework versions
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@@ -1,3 +1,3 @@
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