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microsoft/deberta-v3-base-finetuned-sentiment

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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- - Accuracy: 1.0
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- - F1: 1.0
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  ## Model description
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@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
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- | 0.0005 | 1.0 | 26 | 0.0000 | 1.0 | 1.0 |
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- | 0.0001 | 2.0 | 52 | 0.0000 | 1.0 | 1.0 |
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- | 0.0 | 3.0 | 78 | 0.0000 | 1.0 | 1.0 |
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- | 0.0 | 4.0 | 104 | 0.0000 | 1.0 | 1.0 |
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- | 0.0 | 5.0 | 130 | 0.0000 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4728
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+ - Accuracy: 0.79
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+ - F1: 0.7533
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.958 | 1.0 | 26 | 0.7961 | 0.74 | 0.6589 |
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+ | 0.5425 | 2.0 | 52 | 0.5735 | 0.74 | 0.6687 |
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+ | 0.3662 | 3.0 | 78 | 0.4963 | 0.75 | 0.6765 |
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+ | 0.3065 | 4.0 | 104 | 0.4564 | 0.815 | 0.7677 |
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+ | 0.2914 | 5.0 | 130 | 0.4728 | 0.79 | 0.7533 |
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  ### Framework versions
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