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populism_classifier_342

Text Classification
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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 -12
  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: 0.3932
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- - Accuracy: 0.9699
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- - 1-f1: 0.1562
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- - 1-recall: 0.1667
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- - 1-precision: 0.1471
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- - Balanced Acc: 0.5751
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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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- | 0.2665 | 1.0 | 57 | 0.2976 | 0.9716 | 0.1639 | 0.1667 | 0.1613 | 0.5760 |
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- | 0.1803 | 2.0 | 114 | 0.2487 | 0.9533 | 0.2075 | 0.3667 | 0.1447 | 0.6649 |
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- | 0.3484 | 3.0 | 171 | 0.3893 | 0.9772 | 0.0465 | 0.0333 | 0.0769 | 0.5133 |
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- | 0.1772 | 4.0 | 228 | 0.3932 | 0.9699 | 0.1562 | 0.1667 | 0.1471 | 0.5751 |
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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: 0.3594
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+ - Accuracy: 0.9705
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+ - 1-f1: 0.2319
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+ - 1-recall: 0.2667
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+ - 1-precision: 0.2051
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+ - Balanced Acc: 0.6246
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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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+ | 0.4239 | 1.0 | 113 | 0.3015 | 0.9727 | 0.2462 | 0.2667 | 0.2286 | 0.6257 |
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+ | 0.3776 | 2.0 | 226 | 0.3302 | 0.9761 | 0.1569 | 0.1333 | 0.1905 | 0.5619 |
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+ | 0.6947 | 3.0 | 339 | 0.4051 | 0.9805 | 0.0 | 0.0 | 0.0 | 0.4986 |
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+ | 0.0738 | 4.0 | 452 | 0.3594 | 0.9705 | 0.2319 | 0.2667 | 0.2051 | 0.6246 |
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  ### Framework versions
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