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populism_classifier_bsample_164

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

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  1. README.md +11 -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: 0.6835
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- - Accuracy: 0.7978
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- - 1-f1: 0.3571
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  - 1-recall: 1.0
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- - 1-precision: 0.2174
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- - Balanced Acc: 0.8929
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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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- | 0.0444 | 1.0 | 12 | 1.5690 | 0.5084 | 0.1860 | 1.0 | 0.1026 | 0.7396 |
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- | 0.3279 | 2.0 | 24 | 0.4920 | 0.8539 | 0.3953 | 0.85 | 0.2576 | 0.8521 |
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- | 0.0836 | 3.0 | 36 | 1.4805 | 0.5056 | 0.1852 | 1.0 | 0.1020 | 0.7381 |
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- | 0.0185 | 4.0 | 48 | 0.6835 | 0.7978 | 0.3571 | 1.0 | 0.2174 | 0.8929 |
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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: 0.7268
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+ - Accuracy: 0.7753
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+ - 1-f1: 0.3333
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  - 1-recall: 1.0
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+ - 1-precision: 0.2
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+ - Balanced Acc: 0.8810
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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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+ | 0.0211 | 1.0 | 6 | 0.4905 | 0.8708 | 0.4390 | 0.9 | 0.2903 | 0.8845 |
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+ | 0.0304 | 2.0 | 12 | 0.6629 | 0.7893 | 0.3363 | 0.95 | 0.2043 | 0.8649 |
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+ | 0.0541 | 3.0 | 18 | 0.7268 | 0.7753 | 0.3333 | 1.0 | 0.2 | 0.8810 |
 
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  ### Framework versions
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