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populism_classifier_346

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 +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: 0.2900
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- - Accuracy: 0.9226
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- - 1-f1: 0.6197
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- - 1-recall: 0.8148
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- - 1-precision: 0.5
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- - Balanced Acc: 0.8732
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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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- | 0.2157 | 1.0 | 11 | 0.2464 | 0.9140 | 0.6154 | 0.8889 | 0.4706 | 0.9025 |
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- | 0.1878 | 2.0 | 22 | 0.2723 | 0.9198 | 0.6216 | 0.8519 | 0.4894 | 0.8887 |
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- | 0.1668 | 3.0 | 33 | 0.2900 | 0.9226 | 0.6197 | 0.8148 | 0.5 | 0.8732 |
 
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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: 0.4167
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+ - Accuracy: 0.9456
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+ - 1-f1: 0.6780
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+ - 1-recall: 0.7407
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+ - 1-precision: 0.625
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+ - Balanced Acc: 0.8517
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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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+ | 0.1929 | 1.0 | 22 | 0.1974 | 0.9226 | 0.6494 | 0.9259 | 0.5 | 0.9241 |
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+ | 0.1033 | 2.0 | 44 | 0.2472 | 0.9341 | 0.6667 | 0.8519 | 0.5476 | 0.8964 |
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+ | 0.0322 | 3.0 | 66 | 0.2634 | 0.9341 | 0.6567 | 0.8148 | 0.55 | 0.8795 |
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+ | 0.0514 | 4.0 | 88 | 0.4167 | 0.9456 | 0.6780 | 0.7407 | 0.625 | 0.8517 |
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  ### Framework versions
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