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populism_classifier_317

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_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3406
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- - Accuracy: 0.9627
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- - 1-f1: 0.6667
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- - 1-recall: 0.6667
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- - 1-precision: 0.6667
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- - Balanced Acc: 0.8235
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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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- | 0.1383 | 1.0 | 14 | 0.2294 | 0.9650 | 0.7059 | 0.75 | 0.6667 | 0.8639 |
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- | 0.1323 | 2.0 | 28 | 0.2661 | 0.9534 | 0.6296 | 0.7083 | 0.5667 | 0.8381 |
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- | 0.0416 | 3.0 | 42 | 0.3406 | 0.9627 | 0.6667 | 0.6667 | 0.6667 | 0.8235 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6002
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+ - Accuracy: 0.9557
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+ - 1-f1: 0.5778
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+ - 1-recall: 0.5417
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+ - 1-precision: 0.6190
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+ - Balanced Acc: 0.7610
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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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+ | 0.1895 | 1.0 | 27 | 0.2592 | 0.9487 | 0.6333 | 0.7917 | 0.5278 | 0.8748 |
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+ | 0.189 | 2.0 | 54 | 0.2613 | 0.9347 | 0.6 | 0.875 | 0.4565 | 0.9066 |
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+ | 0.0758 | 3.0 | 81 | 0.3632 | 0.9464 | 0.5490 | 0.5833 | 0.5185 | 0.7756 |
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+ | 0.4068 | 4.0 | 108 | 0.6002 | 0.9557 | 0.5778 | 0.5417 | 0.6190 | 0.7610 |
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  ### Framework versions
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