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populism_classifier_349

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: 0.3130
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- - Accuracy: 0.9511
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- - 1-f1: 0.6061
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- - 1-recall: 0.8
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- - 1-precision: 0.4878
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- - Balanced Acc: 0.8793
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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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- | 0.2204 | 1.0 | 17 | 0.1981 | 0.9286 | 0.5476 | 0.92 | 0.3898 | 0.9245 |
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- | 0.0834 | 2.0 | 34 | 0.2812 | 0.9549 | 0.6129 | 0.76 | 0.5135 | 0.8622 |
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- | 0.0409 | 3.0 | 51 | 0.3130 | 0.9511 | 0.6061 | 0.8 | 0.4878 | 0.8793 |
 
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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: 0.4287
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+ - Accuracy: 0.9643
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+ - 1-f1: 0.6545
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+ - 1-recall: 0.72
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+ - 1-precision: 0.6
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+ - Balanced Acc: 0.8482
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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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+ | 0.1727 | 1.0 | 34 | 0.1940 | 0.9474 | 0.6216 | 0.92 | 0.4694 | 0.9344 |
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+ | 0.034 | 2.0 | 68 | 0.2893 | 0.9586 | 0.6333 | 0.76 | 0.5429 | 0.8642 |
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+ | 0.0107 | 3.0 | 102 | 0.5393 | 0.9718 | 0.6667 | 0.6 | 0.75 | 0.7951 |
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+ | 0.002 | 4.0 | 136 | 0.4287 | 0.9643 | 0.6545 | 0.72 | 0.6 | 0.8482 |
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  ### Framework versions
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