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populism_classifier_bsample_171

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 -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_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8719
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- - Accuracy: 0.8321
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- - 1-f1: 0.4844
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- - 1-recall: 0.9118
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- - 1-precision: 0.3298
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- - Balanced Acc: 0.8681
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  ## Model description
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@@ -42,9 +42,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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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- | 0.0155 | 1.0 | 11 | 0.6644 | 0.7786 | 0.4238 | 0.9412 | 0.2735 | 0.8522 |
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- | 0.005 | 2.0 | 22 | 0.6599 | 0.8244 | 0.4651 | 0.8824 | 0.3158 | 0.8506 |
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- | 0.0135 | 3.0 | 33 | 0.7692 | 0.8397 | 0.4793 | 0.8529 | 0.3333 | 0.8457 |
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- | 0.0011 | 4.0 | 44 | 0.8719 | 0.8321 | 0.4844 | 0.9118 | 0.3298 | 0.8681 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6048
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+ - Accuracy: 0.8499
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+ - 1-f1: 0.5203
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+ - 1-recall: 0.9412
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+ - 1-precision: 0.3596
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+ - Balanced Acc: 0.8912
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  ## Model description
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  ### Training hyperparameters
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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: 32
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+ - eval_batch_size: 32
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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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+ | 0.0169 | 1.0 | 6 | 0.5501 | 0.8372 | 0.5077 | 0.9706 | 0.3438 | 0.8976 |
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+ | 0.1135 | 2.0 | 12 | 0.6482 | 0.8804 | 0.5437 | 0.8235 | 0.4058 | 0.8547 |
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+ | 0.0019 | 3.0 | 18 | 0.6048 | 0.8499 | 0.5203 | 0.9412 | 0.3596 | 0.8912 |
 
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  ### Framework versions
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