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AnonymousCS
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populism_classifier_bsample_161

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 -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: 1.0488
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- - Accuracy: 0.7033
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- - 1-f1: 0.1622
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- - 1-recall: 0.8
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- - 1-precision: 0.0902
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- - Balanced Acc: 0.7499
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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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- | 0.6357 | 1.0 | 13 | 0.6818 | 0.7321 | 0.1765 | 0.8 | 0.0992 | 0.7648 |
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- | 0.1106 | 2.0 | 26 | 0.8337 | 0.6938 | 0.1579 | 0.8 | 0.0876 | 0.7449 |
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- | 0.0716 | 3.0 | 39 | 1.0488 | 0.7033 | 0.1622 | 0.8 | 0.0902 | 0.7499 |
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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: 0.8100
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+ - Accuracy: 0.7990
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+ - 1-f1: 0.2364
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+ - 1-recall: 0.8667
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+ - 1-precision: 0.1368
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+ - Balanced Acc: 0.8316
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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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+ | 0.192 | 1.0 | 7 | 0.7250 | 0.8373 | 0.2766 | 0.8667 | 0.1646 | 0.8514 |
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+ | 0.057 | 2.0 | 14 | 0.7615 | 0.8110 | 0.2476 | 0.8667 | 0.1444 | 0.8378 |
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+ | 0.0176 | 3.0 | 21 | 0.8100 | 0.7990 | 0.2364 | 0.8667 | 0.1368 | 0.8316 |
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  ### Framework versions
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