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electra-1-epoch-sentiment

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  1. README.md +3 -4
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@@ -46,7 +46,6 @@ It achieves the following results on the evaluation set:
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  - Recall: 0.6924
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  - Micro-avg-recall: 0.6924
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  - Micro-avg-precision: 0.6924
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- - Elapsed time: 0.3435
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  ## Model description
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@@ -75,9 +74,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision | Elapsed time |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|:------------:|
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- | 0.6466 | 1.0 | 2851 | 0.7128 | 0.6924 | 0.6935 | 0.6924 | 0.6924 | 0.6924 | 0.3164 |
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  ### Framework versions
 
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  - Recall: 0.6924
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  - Micro-avg-recall: 0.6924
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  - Micro-avg-precision: 0.6924
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
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+ | 0.6466 | 1.0 | 2851 | 0.7128 | 0.6924 | 0.6935 | 0.6924 | 0.6924 | 0.6924 |
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  ### Framework versions