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AnonymousCS
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populism_classifier_369

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 +12 -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: 0.3474
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- - Accuracy: 0.9417
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- - 1-f1: 0.6032
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- - 1-recall: 0.7917
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- - 1-precision: 0.4872
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- - Balanced Acc: 0.8711
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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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- | 0.146 | 1.0 | 14 | 0.3048 | 0.9487 | 0.5769 | 0.625 | 0.5357 | 0.7965 |
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- | 0.1381 | 2.0 | 28 | 0.2867 | 0.9347 | 0.5882 | 0.8333 | 0.4545 | 0.8870 |
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- | 0.0698 | 3.0 | 42 | 0.3519 | 0.9371 | 0.5970 | 0.8333 | 0.4651 | 0.8883 |
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- | 0.4289 | 4.0 | 56 | 0.3474 | 0.9417 | 0.6032 | 0.7917 | 0.4872 | 0.8711 |
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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: 0.4974
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+ - Accuracy: 0.9674
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+ - 1-f1: 0.6957
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+ - 1-recall: 0.6667
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+ - 1-precision: 0.7273
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+ - Balanced Acc: 0.8259
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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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+ | 0.1793 | 1.0 | 27 | 0.1727 | 0.9487 | 0.6765 | 0.9583 | 0.5227 | 0.9532 |
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+ | 0.1221 | 2.0 | 54 | 0.3769 | 0.9720 | 0.7391 | 0.7083 | 0.7727 | 0.8480 |
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+ | 0.1389 | 3.0 | 81 | 0.5560 | 0.9697 | 0.6977 | 0.625 | 0.7895 | 0.8076 |
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+ | 0.4539 | 4.0 | 108 | 0.4974 | 0.9674 | 0.6957 | 0.6667 | 0.7273 | 0.8259 |
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  ### Framework versions
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