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populism_classifier_374

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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xet
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AnonymousCS commited on
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End of training

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  1. README.md +13 -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_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: 0.4831
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- - Accuracy: 0.9729
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- - 1-f1: 0.4651
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- - 1-recall: 0.3448
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- - 1-precision: 0.7143
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- - Balanced Acc: 0.6700
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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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- | 0.282 | 1.0 | 27 | 0.1651 | 0.9540 | 0.5618 | 0.8621 | 0.4167 | 0.9097 |
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- | 0.1882 | 2.0 | 54 | 0.2787 | 0.9705 | 0.6032 | 0.6552 | 0.5588 | 0.8184 |
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- | 0.0362 | 3.0 | 81 | 0.4831 | 0.9729 | 0.4651 | 0.3448 | 0.7143 | 0.6700 |
 
 
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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: 0.4657
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+ - Accuracy: 0.9752
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+ - 1-f1: 0.6441
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+ - 1-recall: 0.6552
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+ - 1-precision: 0.6333
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+ - Balanced Acc: 0.8209
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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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+ | 0.6468 | 1.0 | 53 | 0.3966 | 0.9764 | 0.4737 | 0.3103 | 1.0 | 0.6552 |
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+ | 0.1064 | 2.0 | 106 | 0.2097 | 0.9729 | 0.6667 | 0.7931 | 0.575 | 0.8862 |
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+ | 0.0361 | 3.0 | 159 | 0.4598 | 0.9693 | 0.5185 | 0.4828 | 0.56 | 0.7347 |
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+ | 0.0022 | 4.0 | 212 | 0.6683 | 0.9729 | 0.4889 | 0.3793 | 0.6875 | 0.6866 |
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+ | 0.0019 | 5.0 | 265 | 0.4657 | 0.9752 | 0.6441 | 0.6552 | 0.6333 | 0.8209 |
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  ### Framework versions
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