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AnonymousCS
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populism_classifier_354

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: 0.2217
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- - Accuracy: 0.9019
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- - 1-f1: 0.6176
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- - 1-recall: 0.9545
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- - 1-precision: 0.4565
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- - Balanced Acc: 0.9258
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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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- | 0.2663 | 1.0 | 9 | 0.2055 | 0.8906 | 0.6027 | 1.0 | 0.4314 | 0.9403 |
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- | 0.1453 | 2.0 | 18 | 0.4030 | 0.9208 | 0.5714 | 0.6364 | 0.5185 | 0.7914 |
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- | 0.187 | 3.0 | 27 | 0.2217 | 0.9019 | 0.6176 | 0.9545 | 0.4565 | 0.9258 |
 
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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: 0.5510
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+ - Accuracy: 0.9472
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+ - 1-f1: 0.6818
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+ - 1-recall: 0.6818
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+ - 1-precision: 0.6818
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+ - Balanced Acc: 0.8265
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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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+ | 0.1426 | 1.0 | 17 | 0.2135 | 0.9094 | 0.6250 | 0.9091 | 0.4762 | 0.9093 |
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+ | 0.1377 | 2.0 | 34 | 0.2399 | 0.9208 | 0.6557 | 0.9091 | 0.5128 | 0.9155 |
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+ | 0.0574 | 3.0 | 51 | 0.4319 | 0.9509 | 0.6977 | 0.6818 | 0.7143 | 0.8286 |
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+ | 0.0183 | 4.0 | 68 | 0.5510 | 0.9472 | 0.6818 | 0.6818 | 0.6818 | 0.8265 |
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  ### Framework versions
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