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populism_classifier_339

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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xet
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End of training

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  1. README.md +13 -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: 0.4956
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- - Accuracy: 0.9117
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- - 1-f1: 0.3856
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- - 1-recall: 0.5805
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- - 1-precision: 0.2887
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- - Balanced Acc: 0.7544
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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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- | 0.355 | 1.0 | 436 | 0.3787 | 0.8779 | 0.3549 | 0.7038 | 0.2373 | 0.7952 |
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- | 0.2207 | 2.0 | 872 | 0.3761 | 0.8737 | 0.3586 | 0.7398 | 0.2367 | 0.8101 |
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- | 0.1444 | 3.0 | 1308 | 0.4154 | 0.9246 | 0.4145 | 0.5594 | 0.3292 | 0.7511 |
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- | 0.1117 | 4.0 | 1744 | 0.4956 | 0.9117 | 0.3856 | 0.5805 | 0.2887 | 0.7544 |
 
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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: 0.8178
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+ - Accuracy: 0.9366
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+ - 1-f1: 0.4046
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+ - 1-recall: 0.4511
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+ - 1-precision: 0.3667
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+ - Balanced Acc: 0.7060
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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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+ | 0.5714 | 1.0 | 871 | 0.3874 | 0.9182 | 0.4019 | 0.5759 | 0.3086 | 0.7556 |
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+ | 0.2029 | 2.0 | 1742 | 0.3685 | 0.8897 | 0.3770 | 0.6992 | 0.2580 | 0.7992 |
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+ | 0.0709 | 3.0 | 2613 | 0.5978 | 0.9451 | 0.3855 | 0.3609 | 0.4138 | 0.6676 |
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+ | 0.084 | 4.0 | 3484 | 0.5866 | 0.9262 | 0.4078 | 0.5323 | 0.3305 | 0.7391 |
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+ | 0.0702 | 5.0 | 4355 | 0.8178 | 0.9366 | 0.4046 | 0.4511 | 0.3667 | 0.7060 |
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  ### Framework versions
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