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populism_classifier_373

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 -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_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: 0.5167
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- - Accuracy: 0.9691
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- - 1-f1: 0.6190
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- - 1-recall: 0.5
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- - 1-precision: 0.8125
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- - Balanced Acc: 0.7470
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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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- | 0.2244 | 1.0 | 17 | 0.2882 | 0.9228 | 0.5238 | 0.8462 | 0.3793 | 0.8865 |
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- | 0.1244 | 2.0 | 34 | 0.5566 | 0.9653 | 0.5714 | 0.4615 | 0.75 | 0.7267 |
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- | 0.2034 | 3.0 | 51 | 0.5167 | 0.9691 | 0.6190 | 0.5 | 0.8125 | 0.7470 |
 
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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: 0.6235
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+ - Accuracy: 0.9653
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+ - 1-f1: 0.64
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+ - 1-recall: 0.6154
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+ - 1-precision: 0.6667
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+ - Balanced Acc: 0.7996
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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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+ | 0.1645 | 1.0 | 33 | 0.2851 | 0.9421 | 0.5714 | 0.7692 | 0.4545 | 0.8602 |
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+ | 0.005 | 2.0 | 66 | 0.3873 | 0.9633 | 0.6780 | 0.7692 | 0.6061 | 0.8714 |
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+ | 0.3412 | 3.0 | 99 | 0.4285 | 0.9479 | 0.5970 | 0.7692 | 0.4878 | 0.8633 |
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+ | 0.0009 | 4.0 | 132 | 0.6235 | 0.9653 | 0.64 | 0.6154 | 0.6667 | 0.7996 |
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  ### Framework versions
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