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AnonymousCS
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populism_classifier_bsample_162

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 +13 -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: 1.0941
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- - Accuracy: 0.6629
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- - 1-f1: 0.2645
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- - 1-recall: 0.9697
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- - 1-precision: 0.1531
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- - Balanced Acc: 0.8061
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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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- | 0.2537 | 1.0 | 15 | 0.5489 | 0.7121 | 0.2963 | 0.9697 | 0.1749 | 0.8323 |
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- | 0.0561 | 2.0 | 30 | 0.9604 | 0.6856 | 0.2783 | 0.9697 | 0.1624 | 0.8182 |
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- | 0.2881 | 3.0 | 45 | 1.0941 | 0.6629 | 0.2645 | 0.9697 | 0.1531 | 0.8061 |
 
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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: 0.5666
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+ - Accuracy: 0.8561
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+ - 1-f1: 0.4328
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+ - 1-recall: 0.8788
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+ - 1-precision: 0.2871
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+ - Balanced Acc: 0.8667
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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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+ | 0.0987 | 1.0 | 8 | 0.7229 | 0.7292 | 0.3092 | 0.9697 | 0.1839 | 0.8414 |
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+ | 0.102 | 2.0 | 16 | 0.4077 | 0.8598 | 0.4478 | 0.9091 | 0.2970 | 0.8828 |
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+ | 0.0247 | 3.0 | 24 | 0.7191 | 0.7386 | 0.3168 | 0.9697 | 0.1893 | 0.8465 |
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+ | 0.0385 | 4.0 | 32 | 0.5666 | 0.8561 | 0.4328 | 0.8788 | 0.2871 | 0.8667 |
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  ### Framework versions
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