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AnonymousCS
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populism_classifier_340

Text Classification
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Safetensors
bert
Generated from Trainer
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xet
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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_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: 0.4744
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- - Accuracy: 0.7836
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- - 1-f1: 0.2143
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- - 1-recall: 0.75
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- - 1-precision: 0.125
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- - Balanced Acc: 0.7675
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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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- | 0.458 | 1.0 | 10 | 0.4818 | 0.9279 | 0.1538 | 0.1667 | 0.1429 | 0.5629 |
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- | 0.3723 | 2.0 | 20 | 0.5125 | 0.9475 | 0.1111 | 0.0833 | 0.1667 | 0.5331 |
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- | 0.4717 | 3.0 | 30 | 0.4446 | 0.9180 | 0.2424 | 0.3333 | 0.1905 | 0.6377 |
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- | 0.4197 | 4.0 | 40 | 0.4645 | 0.8459 | 0.1754 | 0.4167 | 0.1111 | 0.6401 |
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- | 0.397 | 5.0 | 50 | 0.4744 | 0.7836 | 0.2143 | 0.75 | 0.125 | 0.7675 |
 
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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: 0.5170
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+ - Accuracy: 0.8951
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+ - 1-f1: 0.2381
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+ - 1-recall: 0.4167
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+ - 1-precision: 0.1667
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+ - Balanced Acc: 0.6657
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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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+ | 0.3768 | 1.0 | 20 | 0.4651 | 0.9410 | 0.1818 | 0.1667 | 0.2 | 0.5697 |
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+ | 0.3174 | 2.0 | 40 | 0.4922 | 0.9508 | 0.2105 | 0.1667 | 0.2857 | 0.5748 |
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+ | 0.4174 | 3.0 | 60 | 0.4369 | 0.9016 | 0.2857 | 0.5 | 0.2 | 0.7090 |
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+ | 0.3601 | 4.0 | 80 | 0.5736 | 0.9213 | 0.2941 | 0.4167 | 0.2273 | 0.6793 |
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+ | 0.7514 | 5.0 | 100 | 0.6534 | 0.7344 | 0.1474 | 0.5833 | 0.0843 | 0.6620 |
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+ | 0.0811 | 6.0 | 120 | 0.5170 | 0.8951 | 0.2381 | 0.4167 | 0.1667 | 0.6657 |
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  ### Framework versions
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