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Intradiction
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BERT-SA-LORA

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Safetensors
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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Mar15_20-09-37_9a540ec52b76/events.out.tfevents.1710533378.9a540ec52b76.2019.6 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3776
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- - Accuracy: 0.873
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 125 | 0.5379 | 0.74 |
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- | No log | 2.0 | 250 | 0.4962 | 0.78 |
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- | No log | 3.0 | 375 | 0.4127 | 0.827 |
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- | 0.4731 | 4.0 | 500 | 0.3871 | 0.849 |
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- | 0.4731 | 5.0 | 625 | 0.3720 | 0.861 |
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- | 0.4731 | 6.0 | 750 | 0.4096 | 0.858 |
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- | 0.4731 | 7.0 | 875 | 0.3971 | 0.869 |
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- | 0.2887 | 8.0 | 1000 | 0.3856 | 0.868 |
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- | 0.2887 | 9.0 | 1125 | 0.3751 | 0.872 |
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- | 0.2887 | 10.0 | 1250 | 0.3776 | 0.873 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4183
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+ - Accuracy: 0.868
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 125 | 0.6192 | 0.682 |
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+ | No log | 2.0 | 250 | 0.4579 | 0.79 |
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+ | No log | 3.0 | 375 | 0.3820 | 0.844 |
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+ | 0.4923 | 4.0 | 500 | 0.3872 | 0.865 |
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+ | 0.4923 | 5.0 | 625 | 0.3659 | 0.862 |
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+ | 0.4923 | 6.0 | 750 | 0.4615 | 0.853 |
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+ | 0.4923 | 7.0 | 875 | 0.4444 | 0.86 |
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+ | 0.2691 | 8.0 | 1000 | 0.4148 | 0.871 |
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+ | 0.2691 | 9.0 | 1125 | 0.4089 | 0.87 |
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+ | 0.2691 | 10.0 | 1250 | 0.4183 | 0.868 |
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  ### Framework versions
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