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populism_classifier_368

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 +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: 0.3351
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- - Accuracy: 0.9572
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- - 1-f1: 0.2222
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- - 1-recall: 0.3667
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- - 1-precision: 0.1594
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- - Balanced Acc: 0.6669
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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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- | 0.351 | 1.0 | 57 | 0.3014 | 0.9699 | 0.1562 | 0.1667 | 0.1471 | 0.5751 |
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- | 0.2589 | 2.0 | 114 | 0.2813 | 0.9494 | 0.1651 | 0.3 | 0.1139 | 0.6302 |
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- | 0.4061 | 3.0 | 171 | 0.4600 | 0.9766 | 0.0455 | 0.0333 | 0.0714 | 0.5130 |
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- | 0.1677 | 4.0 | 228 | 0.3351 | 0.9572 | 0.2222 | 0.3667 | 0.1594 | 0.6669 |
 
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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: 0.4167
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+ - Accuracy: 0.9633
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+ - 1-f1: 0.1081
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+ - 1-recall: 0.1333
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+ - 1-precision: 0.0909
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+ - Balanced Acc: 0.5553
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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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+ | 0.5876 | 1.0 | 113 | 0.3563 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.5976 | 2.0 | 226 | 0.3037 | 0.9733 | 0.0769 | 0.0667 | 0.0909 | 0.5277 |
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+ | 0.658 | 3.0 | 339 | 0.4078 | 0.9794 | 0.0 | 0.0 | 0.0 | 0.4980 |
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+ | 0.1679 | 4.0 | 452 | 0.3198 | 0.9421 | 0.1875 | 0.4 | 0.1224 | 0.6757 |
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+ | 0.2655 | 5.0 | 565 | 0.4167 | 0.9633 | 0.1081 | 0.1333 | 0.0909 | 0.5553 |
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  ### Framework versions
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