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populism_classifier_235

Text Classification
Transformers
Safetensors
roberta
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 +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_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8998
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- - Accuracy: 0.9483
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- - 1-f1: 0.4175
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- - 1-recall: 0.3880
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- - 1-precision: 0.4518
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- - Balanced Acc: 0.6822
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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: 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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- | 0.0664 | 1.0 | 1742 | 0.4654 | 0.9467 | 0.4045 | 0.3789 | 0.4337 | 0.6771 |
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- | 0.3477 | 2.0 | 3484 | 0.3671 | 0.9198 | 0.4233 | 0.6165 | 0.3223 | 0.7758 |
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- | 0.214 | 3.0 | 5226 | 0.6793 | 0.9526 | 0.4050 | 0.3383 | 0.5045 | 0.6608 |
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- | 0.0305 | 4.0 | 6968 | 0.9402 | 0.9546 | 0.3864 | 0.2992 | 0.5452 | 0.6434 |
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- | 0.0633 | 5.0 | 8710 | 0.8998 | 0.9483 | 0.4175 | 0.3880 | 0.4518 | 0.6822 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5612
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+ - Accuracy: 0.9350
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+ - 1-f1: 0.4244
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+ - 1-recall: 0.5023
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+ - 1-precision: 0.3674
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+ - Balanced Acc: 0.7295
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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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+ | 0.495 | 1.0 | 871 | 0.3809 | 0.9201 | 0.4087 | 0.5789 | 0.3158 | 0.7580 |
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+ | 0.3464 | 2.0 | 1742 | 0.3856 | 0.9236 | 0.4147 | 0.5669 | 0.3270 | 0.7542 |
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+ | 0.103 | 3.0 | 2613 | 0.4297 | 0.9423 | 0.4322 | 0.4602 | 0.4075 | 0.7133 |
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+ | 0.2132 | 4.0 | 3484 | 0.5612 | 0.9350 | 0.4244 | 0.5023 | 0.3674 | 0.7295 |
 
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  ### Framework versions
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