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populism_classifier_350

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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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: 0.3321
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- - Accuracy: 0.9629
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- - 1-f1: 0.7368
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- - 1-recall: 0.7778
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- - 1-precision: 0.7
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- - Balanced Acc: 0.8770
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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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- | 0.2414 | 1.0 | 13 | 0.1680 | 0.9307 | 0.65 | 0.9630 | 0.4906 | 0.9457 |
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- | 0.2741 | 2.0 | 26 | 0.3537 | 0.9554 | 0.6667 | 0.6667 | 0.6667 | 0.8214 |
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- | 0.1175 | 3.0 | 39 | 0.3321 | 0.9629 | 0.7368 | 0.7778 | 0.7 | 0.8770 |
 
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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: 0.5354
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+ - Accuracy: 0.9604
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+ - 1-f1: 0.6667
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+ - 1-recall: 0.5926
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+ - 1-precision: 0.7619
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+ - Balanced Acc: 0.7897
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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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+ | 0.0951 | 1.0 | 26 | 0.1524 | 0.9381 | 0.6667 | 0.9259 | 0.5208 | 0.9325 |
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+ | 0.1979 | 2.0 | 52 | 0.2456 | 0.9653 | 0.75 | 0.7778 | 0.7241 | 0.8783 |
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+ | 0.1216 | 3.0 | 78 | 0.2365 | 0.9703 | 0.8000 | 0.8889 | 0.7273 | 0.9325 |
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+ | 0.0093 | 4.0 | 104 | 0.5354 | 0.9604 | 0.6667 | 0.5926 | 0.7619 | 0.7897 |
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  ### Framework versions
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