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populism_classifier_bsample_170

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: 0.3562
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- - Accuracy: 0.9270
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- - 1-f1: 0.4228
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  - 1-recall: 1.0
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- - 1-precision: 0.2680
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- - Balanced Acc: 0.9625
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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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- | 0.2108 | 1.0 | 38 | 0.4784 | 0.8613 | 0.2781 | 1.0 | 0.1615 | 0.9287 |
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- | 0.0272 | 2.0 | 76 | 0.3507 | 0.8993 | 0.3467 | 1.0 | 0.2097 | 0.9483 |
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- | 0.457 | 3.0 | 114 | 0.2669 | 0.9373 | 0.4505 | 0.9615 | 0.2941 | 0.9491 |
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- | 0.8714 | 4.0 | 152 | 0.3665 | 0.9281 | 0.4215 | 0.9808 | 0.2684 | 0.9537 |
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- | 0.0028 | 5.0 | 190 | 0.3562 | 0.9270 | 0.4228 | 1.0 | 0.2680 | 0.9625 |
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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: 0.4694
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+ - Accuracy: 0.8890
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+ - 1-f1: 0.325
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  - 1-recall: 1.0
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+ - 1-precision: 0.1940
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+ - Balanced Acc: 0.9430
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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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+ | 0.0372 | 1.0 | 19 | 0.4044 | 0.8998 | 0.3478 | 1.0 | 0.2105 | 0.9485 |
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+ | 0.1038 | 2.0 | 38 | 0.2572 | 0.9322 | 0.4359 | 0.9808 | 0.2802 | 0.9558 |
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+ | 0.0289 | 3.0 | 57 | 0.2608 | 0.9347 | 0.4454 | 0.9808 | 0.2881 | 0.9571 |
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+ | 0.0188 | 4.0 | 76 | 0.4694 | 0.8890 | 0.325 | 1.0 | 0.1940 | 0.9430 |
 
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  ### Framework versions
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