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populism_classifier_bsample_180

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 +17 -15
  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: 0.9000
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- - Accuracy: 0.7593
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- - 1-f1: 0.3158
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- - 1-recall: 0.9643
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- - 1-precision: 0.1888
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- - Balanced Acc: 0.8555
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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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- | 0.3179 | 1.0 | 14 | 0.8074 | 0.7284 | 0.2979 | 1.0 | 0.175 | 0.8559 |
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- | 0.0534 | 2.0 | 28 | 0.7829 | 0.7366 | 0.2967 | 0.9643 | 0.1753 | 0.8435 |
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- | 0.3897 | 3.0 | 42 | 0.7053 | 0.8004 | 0.3490 | 0.9286 | 0.2149 | 0.8606 |
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- | 0.036 | 4.0 | 56 | 0.4915 | 0.8745 | 0.4602 | 0.9286 | 0.3059 | 0.8999 |
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- | 0.0072 | 5.0 | 70 | 0.9166 | 0.7757 | 0.3313 | 0.9643 | 0.2 | 0.8642 |
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- | 0.006 | 6.0 | 84 | 0.9000 | 0.7593 | 0.3158 | 0.9643 | 0.1888 | 0.8555 |
 
 
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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: 0.6209
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+ - Accuracy: 0.8519
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+ - 1-f1: 0.4375
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+ - 1-recall: 1.0
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+ - 1-precision: 0.28
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+ - Balanced Acc: 0.9214
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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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+ | 0.0568 | 1.0 | 7 | 0.5297 | 0.8333 | 0.4088 | 1.0 | 0.2569 | 0.9116 |
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+ | 0.0433 | 2.0 | 14 | 0.5274 | 0.8436 | 0.4242 | 1.0 | 0.2692 | 0.9170 |
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+ | 0.0254 | 3.0 | 21 | 0.5235 | 0.8580 | 0.448 | 1.0 | 0.2887 | 0.9247 |
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+ | 0.0028 | 4.0 | 28 | 0.6784 | 0.8272 | 0.4 | 1.0 | 0.25 | 0.9083 |
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+ | 0.0289 | 5.0 | 35 | 0.5078 | 0.8642 | 0.45 | 0.9643 | 0.2935 | 0.9112 |
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+ | 0.0283 | 6.0 | 42 | 0.4661 | 0.8868 | 0.4860 | 0.9286 | 0.3291 | 0.9064 |
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+ | 0.0022 | 7.0 | 49 | 0.6075 | 0.8498 | 0.4341 | 1.0 | 0.2772 | 0.9203 |
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+ | 0.0016 | 8.0 | 56 | 0.6209 | 0.8519 | 0.4375 | 1.0 | 0.28 | 0.9214 |
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  ### Framework versions
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