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populism_classifier_bsample_169

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 +14 -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: 0.9026
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- - Accuracy: 0.7996
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- - 1-f1: 0.2953
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- - 1-recall: 0.7857
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- - 1-precision: 0.1818
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- - Balanced Acc: 0.7931
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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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- | 0.1071 | 1.0 | 13 | 0.5896 | 0.7214 | 0.2396 | 0.8214 | 0.1402 | 0.7686 |
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- | 0.2691 | 2.0 | 26 | 0.8067 | 0.8645 | 0.3486 | 0.6786 | 0.2346 | 0.7768 |
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- | 0.0525 | 3.0 | 39 | 0.9026 | 0.7996 | 0.2953 | 0.7857 | 0.1818 | 0.7931 |
 
 
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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: 0.8501
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+ - Accuracy: 0.8034
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+ - 1-f1: 0.3179
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+ - 1-recall: 0.8571
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+ - 1-precision: 0.1951
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+ - Balanced Acc: 0.8288
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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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+ | 0.4148 | 1.0 | 7 | 1.1721 | 0.9313 | 0.3077 | 0.2857 | 0.3333 | 0.6267 |
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+ | 0.0515 | 2.0 | 14 | 0.7764 | 0.7786 | 0.3095 | 0.9286 | 0.1857 | 0.8494 |
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+ | 0.0358 | 3.0 | 21 | 0.6755 | 0.8149 | 0.3401 | 0.8929 | 0.2101 | 0.8517 |
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+ | 0.0067 | 4.0 | 28 | 0.8517 | 0.7729 | 0.2959 | 0.8929 | 0.1773 | 0.8295 |
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+ | 0.0316 | 5.0 | 35 | 0.8501 | 0.8034 | 0.3179 | 0.8571 | 0.1951 | 0.8288 |
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  ### Framework versions
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