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populism_classifier_314

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

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  1. README.md +14 -13
  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_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5975
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- - Accuracy: 0.9475
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- - 1-f1: 0.3333
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- - 1-recall: 0.3333
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- - 1-precision: 0.3333
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- - Balanced Acc: 0.6530
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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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- | 0.5222 | 1.0 | 10 | 0.4786 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.384 | 2.0 | 20 | 0.4316 | 0.9180 | 0.3243 | 0.5 | 0.24 | 0.7176 |
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- | 0.3836 | 3.0 | 30 | 0.4014 | 0.8525 | 0.2373 | 0.5833 | 0.1489 | 0.7234 |
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- | 0.4781 | 4.0 | 40 | 0.6442 | 0.9574 | 0.3158 | 0.25 | 0.4286 | 0.6182 |
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- | 0.2172 | 5.0 | 50 | 0.5975 | 0.9475 | 0.3333 | 0.3333 | 0.3333 | 0.6530 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4892
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+ - Accuracy: 0.9049
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+ - 1-f1: 0.2564
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+ - 1-recall: 0.4167
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+ - 1-precision: 0.1852
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+ - Balanced Acc: 0.6708
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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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+ | 0.4285 | 1.0 | 20 | 0.4206 | 0.9344 | 0.1667 | 0.1667 | 0.1667 | 0.5663 |
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+ | 0.2336 | 2.0 | 40 | 0.4895 | 0.9574 | 0.0 | 0.0 | 0.0 | 0.4983 |
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+ | 0.4979 | 3.0 | 60 | 0.3673 | 0.8623 | 0.2759 | 0.6667 | 0.1739 | 0.7685 |
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+ | 0.1032 | 4.0 | 80 | 0.6627 | 0.6721 | 0.1803 | 0.9167 | 0.1 | 0.7894 |
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+ | 0.4292 | 5.0 | 100 | 0.4004 | 0.8459 | 0.2034 | 0.5 | 0.1277 | 0.6800 |
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+ | 0.1023 | 6.0 | 120 | 0.4892 | 0.9049 | 0.2564 | 0.4167 | 0.1852 | 0.6708 |
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  ### Framework versions
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