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Model save

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  1. README.md +11 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -22,10 +22,11 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7039
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- - Accuracy: 0.5
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- - Precision: 0.0
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- - Recall: 0.0
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- - F1: 0.0
 
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  ## Model description
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@@ -59,12 +60,12 @@ 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 | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
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- | 0.6863 | 1.0 | 1010 | 0.7004 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6812 | 2.0 | 2020 | 0.6994 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6816 | 3.0 | 3030 | 0.7515 | 0.5 | 0.0 | 0.0 | 0.0 |
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- | 0.6796 | 4.0 | 4040 | 0.7039 | 0.5 | 0.0 | 0.0 | 0.0 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.7039
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+ - Accuracy: 0.5030
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+ - Precision: 0.5015
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+ - Recall: 0.9960
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+ - F1: 0.6671
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+ - Best Threshold: 0.4007
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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 | F1 | Best Threshold |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------------:|
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+ | 0.6863 | 1.0 | 1010 | 0.7004 | 0.5111 | 0.5057 | 0.9859 | 0.6685 | 0.4378 |
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+ | 0.6812 | 2.0 | 2020 | 0.6994 | 0.5030 | 0.5015 | 0.9960 | 0.6671 | 0.4333 |
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+ | 0.6816 | 3.0 | 3030 | 0.7515 | 0.5030 | 0.5015 | 0.9839 | 0.6644 | 0.3329 |
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+ | 0.6796 | 4.0 | 4040 | 0.7039 | 0.5030 | 0.5015 | 0.9960 | 0.6671 | 0.4007 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 555523204
 
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