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AnonymousCS
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populism_classifier_361

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_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: 0.6496
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- - Accuracy: 0.9235
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- - 1-f1: 0.5098
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- - 1-recall: 0.5
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- - 1-precision: 0.52
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- - Balanced Acc: 0.7301
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  ## Model description
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@@ -43,8 +43,8 @@ More information needed
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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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- | 0.3524 | 1.0 | 11 | 0.2835 | 0.8104 | 0.4464 | 0.9615 | 0.2907 | 0.8794 |
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- | 0.2242 | 2.0 | 22 | 0.3537 | 0.9083 | 0.5312 | 0.6538 | 0.4474 | 0.7920 |
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- | 0.195 | 3.0 | 33 | 0.6496 | 0.9235 | 0.5098 | 0.5 | 0.52 | 0.7301 |
 
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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: 0.3420
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+ - Accuracy: 0.9174
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+ - 1-f1: 0.6301
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+ - 1-recall: 0.8846
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+ - 1-precision: 0.4894
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+ - Balanced Acc: 0.9024
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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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+ | 0.2214 | 1.0 | 21 | 0.2953 | 0.9083 | 0.6154 | 0.9231 | 0.4615 | 0.9150 |
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+ | 0.08 | 2.0 | 42 | 0.5592 | 0.9327 | 0.5600 | 0.5385 | 0.5833 | 0.7526 |
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+ | 0.231 | 3.0 | 63 | 0.5194 | 0.9388 | 0.6296 | 0.6538 | 0.6071 | 0.8087 |
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+ | 0.0776 | 4.0 | 84 | 0.3420 | 0.9174 | 0.6301 | 0.8846 | 0.4894 | 0.9024 |
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  ### Framework versions
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