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AnonymousCS
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populism_classifier_360

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 +14 -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_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3229
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- - Accuracy: 0.8403
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- - 1-f1: 0.3146
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- - 1-recall: 0.875
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- - 1-precision: 0.1918
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- - Balanced Acc: 0.8569
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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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- | 0.3685 | 1.0 | 12 | 0.2933 | 0.8848 | 0.3714 | 0.8125 | 0.2407 | 0.8502 |
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- | 0.2309 | 2.0 | 24 | 0.3616 | 0.9476 | 0.4444 | 0.5 | 0.4 | 0.7336 |
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- | 0.3 | 3.0 | 36 | 0.3229 | 0.8403 | 0.3146 | 0.875 | 0.1918 | 0.8569 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2510
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+ - Accuracy: 0.9634
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+ - 1-f1: 0.3
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+ - 1-recall: 0.1875
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+ - 1-precision: 0.75
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+ - Balanced Acc: 0.5924
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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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+ | 0.3676 | 1.0 | 24 | 0.5290 | 0.9581 | 0.2727 | 0.1875 | 0.5 | 0.5897 |
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+ | 0.1647 | 2.0 | 48 | 0.6139 | 0.9581 | 0.2727 | 0.1875 | 0.5 | 0.5897 |
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+ | 0.1676 | 3.0 | 72 | 0.5173 | 0.9503 | 0.4242 | 0.4375 | 0.4118 | 0.7051 |
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+ | 0.0549 | 4.0 | 96 | 1.1376 | 0.9581 | 0.2 | 0.125 | 0.5 | 0.5598 |
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+ | 0.0569 | 5.0 | 120 | 0.8185 | 0.9424 | 0.3125 | 0.3125 | 0.3125 | 0.6412 |
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+ | 0.0299 | 6.0 | 144 | 1.2510 | 0.9634 | 0.3 | 0.1875 | 0.75 | 0.5924 |
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  ### Framework versions
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