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populism_classifier_353

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 +13 -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_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: 0.3520
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- - Accuracy: 0.9
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- - 1-f1: 0.5366
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- - 1-recall: 0.8462
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- - 1-precision: 0.3929
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- - Balanced Acc: 0.8751
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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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- | 0.2228 | 1.0 | 12 | 0.3460 | 0.8316 | 0.4286 | 0.9231 | 0.2791 | 0.8740 |
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- | 0.1943 | 2.0 | 24 | 0.3158 | 0.9158 | 0.5789 | 0.8462 | 0.44 | 0.8835 |
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- | 0.0906 | 3.0 | 36 | 0.3513 | 0.9289 | 0.5970 | 0.7692 | 0.4878 | 0.8550 |
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- | 0.1499 | 4.0 | 48 | 0.3520 | 0.9 | 0.5366 | 0.8462 | 0.3929 | 0.8751 |
 
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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: 0.4468
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+ - Accuracy: 0.9263
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+ - 1-f1: 0.5882
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+ - 1-recall: 0.7692
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+ - 1-precision: 0.4762
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+ - Balanced Acc: 0.8535
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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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+ | 0.2098 | 1.0 | 24 | 0.3538 | 0.9237 | 0.6027 | 0.8462 | 0.4681 | 0.8878 |
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+ | 0.3321 | 2.0 | 48 | 0.3210 | 0.9158 | 0.5789 | 0.8462 | 0.44 | 0.8835 |
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+ | 0.0678 | 3.0 | 72 | 0.4057 | 0.9395 | 0.6230 | 0.7308 | 0.5429 | 0.8428 |
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+ | 0.0396 | 4.0 | 96 | 0.5666 | 0.95 | 0.6415 | 0.6538 | 0.6296 | 0.8128 |
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+ | 0.0103 | 5.0 | 120 | 0.4468 | 0.9263 | 0.5882 | 0.7692 | 0.4762 | 0.8535 |
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  ### Framework versions
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