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populism_classifier_362

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: 0.3763
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- - Accuracy: 0.9447
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- - 1-f1: 0.6197
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- - 1-recall: 0.7586
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- - 1-precision: 0.5238
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- - Balanced Acc: 0.8575
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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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- | 0.3693 | 1.0 | 16 | 0.2956 | 0.9365 | 0.5974 | 0.7931 | 0.4792 | 0.8693 |
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- | 0.2015 | 2.0 | 32 | 0.3256 | 0.9385 | 0.5946 | 0.7586 | 0.4889 | 0.8543 |
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- | 0.1059 | 3.0 | 48 | 0.3763 | 0.9447 | 0.6197 | 0.7586 | 0.5238 | 0.8575 |
 
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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: 0.5150
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+ - Accuracy: 0.9529
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+ - 1-f1: 0.6230
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+ - 1-recall: 0.6552
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+ - 1-precision: 0.5938
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+ - Balanced Acc: 0.8134
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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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+ | 0.3938 | 1.0 | 31 | 0.3602 | 0.9549 | 0.6333 | 0.6552 | 0.6129 | 0.8145 |
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+ | 0.296 | 2.0 | 62 | 0.5009 | 0.9590 | 0.6429 | 0.6207 | 0.6667 | 0.8005 |
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+ | 0.1175 | 3.0 | 93 | 0.4227 | 0.9549 | 0.6333 | 0.6552 | 0.6129 | 0.8145 |
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+ | 0.0251 | 4.0 | 124 | 0.5150 | 0.9529 | 0.6230 | 0.6552 | 0.5938 | 0.8134 |
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  ### Framework versions
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