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Training in progress epoch 2

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  1. README.md +3 -2
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: 0.0770
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  - Train Accuracy: 0.9475
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  - Validation Loss: 0.1594
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  - Validation Accuracy: 0.9475
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  - Train Precision: 0.9494
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  - Train Recall: 0.9475
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  - Train F1: 0.9472
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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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  | 0.0886 | 0.947 | 0.1570 | 0.9470 | 0.9490 | 0.947 | 0.9467 | 0 |
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  | 0.0770 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 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: 0.0682
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  - Train Accuracy: 0.9475
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  - Validation Loss: 0.1594
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  - Validation Accuracy: 0.9475
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  - Train Precision: 0.9494
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  - Train Recall: 0.9475
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  - Train F1: 0.9472
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+ - Epoch: 2
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  ## Model description
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  |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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  | 0.0886 | 0.947 | 0.1570 | 0.9470 | 0.9490 | 0.947 | 0.9467 | 0 |
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  | 0.0770 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 1 |
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+ | 0.0682 | 0.9475 | 0.1594 | 0.9475 | 0.9494 | 0.9475 | 0.9472 | 2 |
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  ### Framework versions