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AnonymousCS
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populism_classifier_345

Text Classification
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Safetensors
bert
Generated from Trainer
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xet
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End of training

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  1. README.md +14 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2685
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- - Accuracy: 0.9485
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- - 1-f1: 0.5238
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- - 1-recall: 0.6875
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- - 1-precision: 0.4231
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- - Balanced Acc: 0.8236
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 128
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- - eval_batch_size: 128
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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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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- | 0.3372 | 1.0 | 13 | 0.2524 | 0.8763 | 0.3846 | 0.9375 | 0.2419 | 0.9056 |
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- | 0.1331 | 2.0 | 26 | 0.2135 | 0.9356 | 0.5098 | 0.8125 | 0.3714 | 0.8767 |
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- | 0.1204 | 3.0 | 39 | 0.2485 | 0.9588 | 0.6 | 0.75 | 0.5 | 0.8589 |
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- | 0.0689 | 4.0 | 52 | 0.2685 | 0.9485 | 0.5238 | 0.6875 | 0.4231 | 0.8236 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4260
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+ - Accuracy: 0.9613
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+ - 1-f1: 0.5714
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+ - 1-recall: 0.625
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+ - 1-precision: 0.5263
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+ - Balanced Acc: 0.8004
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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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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+ | 0.3822 | 1.0 | 25 | 0.2534 | 0.8866 | 0.4054 | 0.9375 | 0.2586 | 0.9110 |
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+ | 0.0583 | 2.0 | 50 | 0.2007 | 0.9098 | 0.4444 | 0.875 | 0.2979 | 0.8931 |
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+ | 0.0549 | 3.0 | 75 | 0.1955 | 0.9588 | 0.6190 | 0.8125 | 0.5 | 0.8888 |
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+ | 0.0345 | 4.0 | 100 | 0.2267 | 0.9536 | 0.5909 | 0.8125 | 0.4643 | 0.8861 |
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+ | 0.0386 | 5.0 | 125 | 0.3221 | 0.9665 | 0.6286 | 0.6875 | 0.5789 | 0.8330 |
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+ | 0.0032 | 6.0 | 150 | 0.4260 | 0.9613 | 0.5714 | 0.625 | 0.5263 | 0.8004 |
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  ### Framework versions
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