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AnonymousCS
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populism_classifier_318

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
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xet
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End of training

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  1. README.md +12 -11
  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: 0.3891
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- - Accuracy: 0.9492
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- - 1-f1: 0.6667
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- - 1-recall: 0.7879
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- - 1-precision: 0.5778
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- - Balanced Acc: 0.8741
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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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- | 0.3001 | 1.0 | 16 | 0.1932 | 0.9102 | 0.5741 | 0.9394 | 0.4133 | 0.9238 |
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- | 0.184 | 2.0 | 32 | 0.2787 | 0.9180 | 0.5625 | 0.8182 | 0.4286 | 0.8715 |
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- | 0.1689 | 3.0 | 48 | 0.3891 | 0.9492 | 0.6667 | 0.7879 | 0.5778 | 0.8741 |
 
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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: 0.7283
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+ - Accuracy: 0.9375
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+ - 1-f1: 0.5294
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+ - 1-recall: 0.5455
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+ - 1-precision: 0.5143
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+ - Balanced Acc: 0.7550
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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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+ | 0.5165 | 1.0 | 32 | 0.3742 | 0.7715 | 0.3536 | 0.9697 | 0.2162 | 0.8638 |
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+ | 0.5349 | 2.0 | 64 | 0.5770 | 0.9395 | 0.5507 | 0.5758 | 0.5278 | 0.7701 |
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+ | 0.2874 | 3.0 | 96 | 0.6979 | 0.9570 | 0.6071 | 0.5152 | 0.7391 | 0.7513 |
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+ | 0.0927 | 4.0 | 128 | 0.7283 | 0.9375 | 0.5294 | 0.5455 | 0.5143 | 0.7550 |
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  ### Framework versions
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