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Training in progress epoch 2

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  1. README.md +9 -8
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1194
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- - Train Accuracy: 0.9415
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- - Validation Loss: 0.1589
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- - Validation Accuracy: 0.9415
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- - Train Precision: 0.9434
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- - Train Recall: 0.9415
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- - Train F1: 0.9409
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- - Epoch: 1
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  ## Model description
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@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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  | 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0990
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+ - Train Accuracy: 0.947
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+ - Validation Loss: 0.1458
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+ - Validation Accuracy: 0.9470
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+ - Train Precision: 0.9490
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+ - Train Recall: 0.947
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+ - Train F1: 0.9466
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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  | 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
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+ | 0.0990 | 0.947 | 0.1458 | 0.9470 | 0.9490 | 0.947 | 0.9466 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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