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populism_classifier_bsample_165

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 +13 -12
  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: 1.1342
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- - Accuracy: 0.7546
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- - 1-f1: 0.2683
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- - 1-recall: 0.8148
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- - 1-precision: 0.1606
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- - Balanced Acc: 0.7829
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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: 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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- | 0.173 | 1.0 | 14 | 0.8577 | 0.7055 | 0.2577 | 0.9259 | 0.1497 | 0.8093 |
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- | 0.0202 | 2.0 | 28 | 1.3647 | 0.6626 | 0.2326 | 0.9259 | 0.1330 | 0.7866 |
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- | 0.0852 | 3.0 | 42 | 1.1342 | 0.7546 | 0.2683 | 0.8148 | 0.1606 | 0.7829 |
 
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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: 0.6840
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+ - Accuracy: 0.8057
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+ - 1-f1: 0.3537
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+ - 1-recall: 0.9630
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+ - 1-precision: 0.2167
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+ - Balanced Acc: 0.8797
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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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+ | 0.0272 | 1.0 | 7 | 0.5363 | 0.8016 | 0.3401 | 0.9259 | 0.2083 | 0.8601 |
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+ | 0.0344 | 2.0 | 14 | 0.4831 | 0.8548 | 0.3826 | 0.8148 | 0.25 | 0.8360 |
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+ | 0.0172 | 3.0 | 21 | 0.6559 | 0.7832 | 0.3291 | 0.9630 | 0.1985 | 0.8678 |
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+ | 0.0123 | 4.0 | 28 | 0.6840 | 0.8057 | 0.3537 | 0.9630 | 0.2167 | 0.8797 |
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  ### Framework versions
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