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AnonymousCS
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populism_classifier_365

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_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6174
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- - Accuracy: 0.9351
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- - 1-f1: 0.4680
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- - 1-recall: 0.5985
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- - 1-precision: 0.3842
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- - Balanced Acc: 0.7752
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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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- | 0.3358 | 1.0 | 436 | 0.3499 | 0.9297 | 0.4606 | 0.6286 | 0.3635 | 0.7867 |
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- | 0.2068 | 2.0 | 872 | 0.3376 | 0.9052 | 0.4269 | 0.7398 | 0.3 | 0.8267 |
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- | 0.1304 | 3.0 | 1308 | 0.4054 | 0.9268 | 0.4545 | 0.6391 | 0.3527 | 0.7902 |
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- | 0.0759 | 4.0 | 1744 | 0.6174 | 0.9351 | 0.4680 | 0.5985 | 0.3842 | 0.7752 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8041
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+ - Accuracy: 0.9541
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+ - 1-f1: 0.4814
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+ - 1-recall: 0.4466
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+ - 1-precision: 0.5220
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+ - Balanced Acc: 0.7131
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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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+ | 0.4578 | 1.0 | 871 | 0.3614 | 0.8890 | 0.3760 | 0.7008 | 0.2569 | 0.7996 |
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+ | 0.1728 | 2.0 | 1742 | 0.3576 | 0.9030 | 0.4207 | 0.7383 | 0.2942 | 0.8248 |
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+ | 0.1014 | 3.0 | 2613 | 0.5243 | 0.9325 | 0.4268 | 0.5263 | 0.3590 | 0.7396 |
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+ | 0.2324 | 4.0 | 3484 | 0.7760 | 0.9530 | 0.4696 | 0.4361 | 0.5088 | 0.7075 |
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+ | 0.2645 | 5.0 | 4355 | 0.8041 | 0.9541 | 0.4814 | 0.4466 | 0.5220 | 0.7131 |
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  ### Framework versions
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