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populism_classifier_366

Text Classification
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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 -13
  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: 0.6727
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- - Accuracy: 0.9639
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- - 1-f1: 0.2667
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- - 1-recall: 0.1667
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- - 1-precision: 0.6667
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- - Balanced Acc: 0.5816
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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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- | 0.5758 | 1.0 | 10 | 0.4198 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.4041 | 2.0 | 20 | 0.4321 | 0.9115 | 0.3415 | 0.5833 | 0.2414 | 0.7541 |
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- | 0.3571 | 3.0 | 30 | 0.3890 | 0.8918 | 0.3265 | 0.6667 | 0.2162 | 0.7838 |
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- | 0.4983 | 4.0 | 40 | 0.4377 | 0.9410 | 0.4 | 0.5 | 0.3333 | 0.7295 |
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- | 0.3749 | 5.0 | 50 | 0.6727 | 0.9639 | 0.2667 | 0.1667 | 0.6667 | 0.5816 |
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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: 0.4503
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+ - Accuracy: 0.8787
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+ - 1-f1: 0.2128
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+ - 1-recall: 0.4167
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+ - 1-precision: 0.1429
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+ - Balanced Acc: 0.6571
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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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+ | 0.3969 | 1.0 | 20 | 0.4381 | 0.9607 | 0.1429 | 0.0833 | 0.5 | 0.5400 |
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+ | 0.3399 | 2.0 | 40 | 0.6687 | 0.9607 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.3359 | 3.0 | 60 | 0.4573 | 0.9508 | 0.2105 | 0.1667 | 0.2857 | 0.5748 |
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+ | 0.2279 | 4.0 | 80 | 0.4503 | 0.8787 | 0.2128 | 0.4167 | 0.1429 | 0.6571 |
 
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  ### Framework versions
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