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populism_classifier_bsample_163

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 +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: 1.0101
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- - Accuracy: 0.7045
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- - 1-f1: 0.1515
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- - 1-recall: 0.9091
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- - 1-precision: 0.0826
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- - Balanced Acc: 0.8037
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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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- | 0.2276 | 1.0 | 10 | 0.4453 | 0.8047 | 0.2128 | 0.9091 | 0.1205 | 0.8554 |
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- | 0.1641 | 2.0 | 20 | 0.6054 | 0.7968 | 0.2062 | 0.9091 | 0.1163 | 0.8513 |
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- | 0.0313 | 3.0 | 30 | 1.0101 | 0.7045 | 0.1515 | 0.9091 | 0.0826 | 0.8037 |
 
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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: 0.5074
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+ - Accuracy: 0.8786
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+ - 1-f1: 0.2581
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+ - 1-recall: 0.7273
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+ - 1-precision: 0.1569
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+ - Balanced Acc: 0.8052
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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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+ | 0.0972 | 1.0 | 5 | 0.5076 | 0.8443 | 0.2532 | 0.9091 | 0.1471 | 0.8757 |
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+ | 0.0306 | 2.0 | 10 | 0.4438 | 0.8945 | 0.3333 | 0.9091 | 0.2041 | 0.9016 |
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+ | 0.06 | 3.0 | 15 | 0.5466 | 0.8496 | 0.2597 | 0.9091 | 0.1515 | 0.8785 |
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+ | 0.0107 | 4.0 | 20 | 0.5074 | 0.8786 | 0.2581 | 0.7273 | 0.1569 | 0.8052 |
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  ### Framework versions
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