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populism_classifier_bsample_173

Text Classification
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Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +14 -14
  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: 2.0425
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- - Accuracy: 0.6471
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- - 1-f1: 0.1818
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- - 1-recall: 0.9091
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- - 1-precision: 0.1010
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- - Balanced Acc: 0.7722
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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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- | 0.0701 | 1.0 | 13 | 0.9878 | 0.6843 | 0.1990 | 0.9091 | 0.1117 | 0.7916 |
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- | 0.006 | 2.0 | 26 | 1.2371 | 0.7157 | 0.2162 | 0.9091 | 0.1227 | 0.8080 |
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- | 0.03 | 3.0 | 39 | 0.8999 | 0.8020 | 0.2837 | 0.9091 | 0.1681 | 0.8531 |
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- | 0.0135 | 4.0 | 52 | 0.9081 | 0.8333 | 0.2857 | 0.7727 | 0.1753 | 0.8044 |
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- | 0.0015 | 5.0 | 65 | 2.0425 | 0.6471 | 0.1818 | 0.9091 | 0.1010 | 0.7722 |
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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: 0.9122
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+ - Accuracy: 0.8059
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+ - 1-f1: 0.2774
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+ - 1-recall: 0.8636
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+ - 1-precision: 0.1652
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+ - Balanced Acc: 0.8335
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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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+ | 0.1673 | 1.0 | 7 | 1.0145 | 0.7412 | 0.2326 | 0.9091 | 0.1333 | 0.8213 |
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+ | 0.0216 | 2.0 | 14 | 0.9962 | 0.7549 | 0.2424 | 0.9091 | 0.1399 | 0.8285 |
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+ | 0.029 | 3.0 | 21 | 0.7441 | 0.8314 | 0.2951 | 0.8182 | 0.18 | 0.8251 |
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+ | 0.0125 | 4.0 | 28 | 0.8679 | 0.7980 | 0.2695 | 0.8636 | 0.1597 | 0.8294 |
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+ | 0.0192 | 5.0 | 35 | 0.9122 | 0.8059 | 0.2774 | 0.8636 | 0.1652 | 0.8335 |
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  ### Framework versions
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