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populism_classifier_367

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 +13 -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_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3969
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- - Accuracy: 0.9320
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- - 1-f1: 0.6567
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- - 1-recall: 0.88
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- - 1-precision: 0.5238
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- - Balanced Acc: 0.9081
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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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- | 0.3315 | 1.0 | 11 | 0.3428 | 0.8047 | 0.4107 | 0.92 | 0.2644 | 0.8578 |
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- | 0.2439 | 2.0 | 22 | 0.3153 | 0.8817 | 0.5349 | 0.92 | 0.3770 | 0.8993 |
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- | 0.1185 | 3.0 | 33 | 0.3797 | 0.9260 | 0.6269 | 0.84 | 0.5 | 0.8865 |
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- | 0.1412 | 4.0 | 44 | 0.3969 | 0.9320 | 0.6567 | 0.88 | 0.5238 | 0.9081 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1526
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+ - Accuracy: 0.9408
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+ - 1-f1: 0.5652
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+ - 1-recall: 0.52
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+ - 1-precision: 0.6190
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+ - Balanced Acc: 0.7472
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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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+ | 0.2373 | 1.0 | 22 | 0.3833 | 0.8136 | 0.4112 | 0.88 | 0.2683 | 0.8442 |
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+ | 0.5622 | 2.0 | 44 | 0.3790 | 0.8846 | 0.5301 | 0.88 | 0.3793 | 0.8825 |
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+ | 0.1318 | 3.0 | 66 | 0.4654 | 0.9438 | 0.6275 | 0.64 | 0.6154 | 0.8040 |
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+ | 0.0603 | 4.0 | 88 | 0.6768 | 0.9556 | 0.7059 | 0.72 | 0.6923 | 0.8472 |
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+ | 0.0045 | 5.0 | 110 | 1.1526 | 0.9408 | 0.5652 | 0.52 | 0.6190 | 0.7472 |
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  ### Framework versions
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