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populism_classifier_394

Text Classification
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Safetensors
rembert
Generated from Trainer
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xet
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End of training

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  1. README.md +16 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5278
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  - Accuracy: 0.9833
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  - 1-f1: 0.0
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  - 1-recall: 0.0
@@ -56,14 +56,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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- | 1.2125 | 1.0 | 449 | 0.6561 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 2.2844 | 2.0 | 898 | 0.7180 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0058 | 3.0 | 1347 | 0.6250 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0074 | 4.0 | 1796 | 0.5935 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.0103 | 5.0 | 2245 | 0.5631 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.7838 | 6.0 | 2694 | 0.5249 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.975 | 7.0 | 3143 | 0.5962 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 1.5616 | 8.0 | 3592 | 0.5278 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5525
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  - Accuracy: 0.9833
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  - 1-f1: 0.0
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  - 1-recall: 0.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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+ | 1.2242 | 1.0 | 449 | 0.6769 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 2.4482 | 2.0 | 898 | 0.7154 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0054 | 3.0 | 1347 | 0.6086 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0083 | 4.0 | 1796 | 0.5472 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0095 | 5.0 | 2245 | 0.5068 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.9129 | 6.0 | 2694 | 0.4756 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8618 | 7.0 | 3143 | 0.5492 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 1.624 | 8.0 | 3592 | 0.5120 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0052 | 9.0 | 4041 | 0.6046 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0201 | 10.0 | 4490 | 0.4285 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0109 | 11.0 | 4939 | 0.5213 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.0068 | 12.0 | 5388 | 0.5858 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8892 | 13.0 | 5837 | 0.5636 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8009 | 14.0 | 6286 | 0.5437 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8449 | 15.0 | 6735 | 0.5525 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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  ### Framework versions
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