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populism_classifier_347

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 -13
  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: 0.4376
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- - Accuracy: 0.9286
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- - 1-f1: 0.4932
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- - 1-recall: 0.6923
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- - 1-precision: 0.3830
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- - Balanced Acc: 0.8167
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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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- | 0.3341 | 1.0 | 17 | 0.4101 | 0.8185 | 0.3188 | 0.8462 | 0.1964 | 0.8316 |
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- | 0.1903 | 2.0 | 34 | 0.4334 | 0.9537 | 0.5862 | 0.6538 | 0.5312 | 0.8117 |
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- | 0.1833 | 3.0 | 51 | 0.3899 | 0.9344 | 0.5143 | 0.6923 | 0.4091 | 0.8197 |
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- | 0.0802 | 4.0 | 68 | 0.4177 | 0.9382 | 0.5294 | 0.6923 | 0.4286 | 0.8218 |
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- | 0.1103 | 5.0 | 85 | 0.4376 | 0.9286 | 0.4932 | 0.6923 | 0.3830 | 0.8167 |
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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: 0.5113
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+ - Accuracy: 0.9672
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+ - 1-f1: 0.6531
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+ - 1-recall: 0.6154
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+ - 1-precision: 0.6957
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+ - Balanced Acc: 0.8006
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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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+ | 0.2644 | 1.0 | 33 | 0.3130 | 0.9073 | 0.4419 | 0.7308 | 0.3167 | 0.8237 |
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+ | 0.1044 | 2.0 | 66 | 0.4120 | 0.9498 | 0.5357 | 0.5769 | 0.5 | 0.7732 |
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+ | 0.3282 | 3.0 | 99 | 0.3918 | 0.9575 | 0.6071 | 0.6538 | 0.5667 | 0.8137 |
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+ | 0.0122 | 4.0 | 132 | 0.5113 | 0.9672 | 0.6531 | 0.6154 | 0.6957 | 0.8006 |
 
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  ### Framework versions
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