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populism_classifier_319

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 +11 -10
  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_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3952
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- - Accuracy: 0.9820
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- - 1-f1: 0.7742
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  - 1-recall: 0.75
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- - 1-precision: 0.8
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- - Balanced Acc: 0.8710
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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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- | 0.1956 | 1.0 | 13 | 0.1155 | 0.9768 | 0.7692 | 0.9375 | 0.6522 | 0.9580 |
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- | 0.0285 | 2.0 | 26 | 0.1746 | 0.9794 | 0.7647 | 0.8125 | 0.7222 | 0.8995 |
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- | 0.0081 | 3.0 | 39 | 0.3952 | 0.9820 | 0.7742 | 0.75 | 0.8 | 0.8710 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4631
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+ - Accuracy: 0.9665
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+ - 1-f1: 0.6486
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  - 1-recall: 0.75
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+ - 1-precision: 0.5714
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+ - Balanced Acc: 0.8629
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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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+ | 0.3263 | 1.0 | 25 | 0.2255 | 0.9330 | 0.48 | 0.75 | 0.3529 | 0.8454 |
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+ | 0.016 | 2.0 | 50 | 0.3499 | 0.9716 | 0.6857 | 0.75 | 0.6316 | 0.8656 |
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+ | 0.2787 | 3.0 | 75 | 0.5455 | 0.9691 | 0.625 | 0.625 | 0.625 | 0.8044 |
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+ | 0.009 | 4.0 | 100 | 0.4631 | 0.9665 | 0.6486 | 0.75 | 0.5714 | 0.8629 |
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  ### Framework versions
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