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AnonymousCS
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populism_classifier_bsample_174

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 -11
  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: 0.9723
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- - Accuracy: 0.6961
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- - 1-f1: 0.2791
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  - 1-recall: 1.0
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- - 1-precision: 0.1622
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- - Balanced Acc: 0.8385
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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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- | 0.0881 | 1.0 | 11 | 0.7475 | 0.8137 | 0.3667 | 0.9167 | 0.2292 | 0.8620 |
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- | 0.0992 | 2.0 | 22 | 1.1234 | 0.6691 | 0.2623 | 1.0 | 0.1509 | 0.8242 |
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- | 0.1336 | 3.0 | 33 | 0.9723 | 0.6961 | 0.2791 | 1.0 | 0.1622 | 0.8385 |
 
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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: 0.5844
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+ - Accuracy: 0.7745
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+ - 1-f1: 0.3429
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  - 1-recall: 1.0
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+ - 1-precision: 0.2069
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+ - Balanced Acc: 0.8802
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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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+ | 0.0995 | 1.0 | 6 | 0.7091 | 0.7598 | 0.3288 | 1.0 | 0.1967 | 0.8724 |
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+ | 0.0862 | 2.0 | 12 | 0.2729 | 0.9240 | 0.5753 | 0.875 | 0.4286 | 0.9010 |
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+ | 0.559 | 3.0 | 18 | 0.2931 | 0.9412 | 0.6364 | 0.875 | 0.5 | 0.9102 |
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+ | 0.027 | 4.0 | 24 | 0.5844 | 0.7745 | 0.3429 | 1.0 | 0.2069 | 0.8802 |
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  ### Framework versions
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