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populism_classifier_bsample_158

Text Classification
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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 +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_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8567
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- - Accuracy: 0.6787
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- - 1-f1: 0.1552
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  - 1-recall: 1.0
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- - 1-precision: 0.0841
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- - Balanced Acc: 0.8345
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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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- | 1.9438 | 1.0 | 8 | 1.9447 | 0.3279 | 0.0807 | 1.0 | 0.0421 | 0.6537 |
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- | 0.6564 | 2.0 | 16 | 0.4186 | 0.8557 | 0.1538 | 0.4444 | 0.0930 | 0.6563 |
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- | 0.0989 | 3.0 | 24 | 0.9483 | 0.5607 | 0.1184 | 1.0 | 0.0629 | 0.7736 |
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- | 0.0794 | 4.0 | 32 | 0.8567 | 0.6787 | 0.1552 | 1.0 | 0.0841 | 0.8345 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5657
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+ - Accuracy: 0.5803
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+ - 1-f1: 0.1233
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  - 1-recall: 1.0
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+ - 1-precision: 0.0657
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+ - Balanced Acc: 0.7838
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  ## Model description
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  ### Training hyperparameters
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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: 32
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+ - eval_batch_size: 32
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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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+ | 0.1124 | 1.0 | 4 | 0.8614 | 0.7082 | 0.1682 | 1.0 | 0.0918 | 0.8497 |
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+ | 0.0806 | 2.0 | 8 | 0.8140 | 0.7279 | 0.1782 | 1.0 | 0.0978 | 0.8598 |
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+ | 0.0244 | 3.0 | 12 | 1.1187 | 0.6426 | 0.1417 | 1.0 | 0.0763 | 0.8159 |
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+ | 0.0819 | 4.0 | 16 | 0.8136 | 0.7443 | 0.1522 | 0.7778 | 0.0843 | 0.7605 |
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+ | 0.0985 | 5.0 | 20 | 1.0607 | 0.6951 | 0.1622 | 1.0 | 0.0882 | 0.8429 |
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+ | 0.0429 | 6.0 | 24 | 1.5657 | 0.5803 | 0.1233 | 1.0 | 0.0657 | 0.7838 |
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  ### Framework versions
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