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bert-base-uncased-pp-20000-1e-06-16

Text Classification
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bert
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mhr2004/bert-base-uncased-pp-20000-1e-06-16

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  1. README.md +14 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ 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: 0.6796
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  ## Model description
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@@ -47,20 +47,23 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7284 | 1.0 | 313 | 0.6909 |
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- | 0.6926 | 2.0 | 626 | 0.6839 |
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- | 0.6883 | 3.0 | 939 | 0.6814 |
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- | 0.6828 | 4.0 | 1252 | 0.6805 |
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- | 0.6816 | 5.0 | 1565 | 0.6796 |
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- | 0.6784 | 6.0 | 1878 | 0.6796 |
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- | 0.6757 | 7.0 | 2191 | 0.6796 |
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- | 0.6705 | 8.0 | 2504 | 0.6805 |
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- | 0.6684 | 9.0 | 2817 | 0.6809 |
 
 
 
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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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: 0.6773
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6973 | 1.0 | 313 | 0.6919 |
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+ | 0.693 | 2.0 | 626 | 0.6875 |
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+ | 0.6907 | 3.0 | 939 | 0.6839 |
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+ | 0.6867 | 4.0 | 1252 | 0.6815 |
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+ | 0.6843 | 5.0 | 1565 | 0.6800 |
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+ | 0.68 | 6.0 | 1878 | 0.6788 |
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+ | 0.6785 | 7.0 | 2191 | 0.6782 |
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+ | 0.6787 | 8.0 | 2504 | 0.6773 |
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+ | 0.6746 | 9.0 | 2817 | 0.6773 |
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+ | 0.6712 | 10.0 | 3130 | 0.6776 |
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+ | 0.6695 | 11.0 | 3443 | 0.6778 |
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+ | 0.6696 | 12.0 | 3756 | 0.6777 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
model.safetensors CHANGED
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