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word-detection-1-1

Token Classification
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roberta
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5300-biased-word-detection

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  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9696
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- - Precision: 0.3195
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- - Recall: 0.2004
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- - F1: 0.2463
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- - Accuracy: 0.8927
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  ## Model description
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@@ -56,12 +56,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0142 | 0.4292 | 100 | 0.8607 | 0.3088 | 0.1568 | 0.2080 | 0.8955 |
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- | 0.0102 | 0.8584 | 200 | 0.9772 | 0.2947 | 0.2087 | 0.2444 | 0.8870 |
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- | 0.007 | 1.2876 | 300 | 0.9885 | 0.3348 | 0.1589 | 0.2155 | 0.8988 |
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- | 0.0145 | 1.7167 | 400 | 0.9324 | 0.3094 | 0.1703 | 0.2197 | 0.8941 |
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- | 0.0117 | 2.1459 | 500 | 0.9965 | 0.3474 | 0.1537 | 0.2131 | 0.9007 |
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- | 0.0155 | 2.5751 | 600 | 0.9752 | 0.3290 | 0.1828 | 0.2350 | 0.8959 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2755
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+ - Precision: 0.4545
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+ - Recall: 0.0935
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+ - F1: 0.1550
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+ - Accuracy: 0.9109
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3038 | 0.4292 | 100 | 0.2895 | 0.0 | 0.0 | 0.0 | 0.9125 |
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+ | 0.2835 | 0.8584 | 200 | 0.2731 | 0.0 | 0.0 | 0.0 | 0.9125 |
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+ | 0.2383 | 1.2876 | 300 | 0.2710 | 0.5606 | 0.0384 | 0.0719 | 0.9132 |
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+ | 0.2385 | 1.7167 | 400 | 0.2685 | 0.6786 | 0.0197 | 0.0383 | 0.9134 |
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+ | 0.2356 | 2.1459 | 500 | 0.2734 | 0.4466 | 0.0955 | 0.1574 | 0.9105 |
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+ | 0.2067 | 2.5751 | 600 | 0.2719 | 0.4703 | 0.0987 | 0.1631 | 0.9114 |
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  ### Framework versions
model.safetensors CHANGED
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