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populism_classifier_bsample_159

Text Classification
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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: 0.5274
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- - Accuracy: 0.9259
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- - 1-f1: 0.5938
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- - 1-recall: 0.6333
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- - 1-precision: 0.5588
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- - Balanced Acc: 0.7933
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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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- | 0.3552 | 1.0 | 11 | 0.3658 | 0.8917 | 0.5778 | 0.8667 | 0.4333 | 0.8804 |
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- | 0.2112 | 2.0 | 22 | 1.3490 | 0.5726 | 0.2788 | 0.9667 | 0.1629 | 0.7512 |
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- | 0.0756 | 3.0 | 33 | 0.5274 | 0.9259 | 0.5938 | 0.6333 | 0.5588 | 0.7933 |
 
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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: 0.5880
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+ - Accuracy: 0.8091
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+ - 1-f1: 0.4370
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+ - 1-recall: 0.8667
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+ - 1-precision: 0.2921
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+ - Balanced Acc: 0.8352
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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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+ | 0.0278 | 1.0 | 6 | 0.5862 | 0.7949 | 0.4375 | 0.9333 | 0.2857 | 0.8576 |
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+ | 0.0457 | 2.0 | 12 | 0.4818 | 0.8832 | 0.5495 | 0.8333 | 0.4098 | 0.8606 |
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+ | 0.0222 | 3.0 | 18 | 0.5837 | 0.8319 | 0.4685 | 0.8667 | 0.3210 | 0.8477 |
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+ | 0.0034 | 4.0 | 24 | 0.5880 | 0.8091 | 0.4370 | 0.8667 | 0.2921 | 0.8352 |
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  ### Framework versions
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