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AnonymousCS
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populism_classifier_363

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_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4397
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- - Accuracy: 0.9550
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- - 1-f1: 0.6250
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- - 1-recall: 0.7143
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- - 1-precision: 0.5556
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- - Balanced Acc: 0.8413
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  ## Model description
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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: 128
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- - eval_batch_size: 128
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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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- | 0.3958 | 1.0 | 21 | 0.3122 | 0.9505 | 0.6118 | 0.7429 | 0.52 | 0.8524 |
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- | 0.2755 | 2.0 | 42 | 0.2939 | 0.8726 | 0.4218 | 0.8857 | 0.2768 | 0.8788 |
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- | 0.3022 | 3.0 | 63 | 0.3010 | 0.8996 | 0.4553 | 0.8 | 0.3182 | 0.8525 |
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- | 0.0945 | 4.0 | 84 | 0.4397 | 0.9550 | 0.6250 | 0.7143 | 0.5556 | 0.8413 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9208
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+ - Accuracy: 0.9610
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+ - 1-f1: 0.5
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+ - 1-recall: 0.3714
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+ - 1-precision: 0.7647
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+ - Balanced Acc: 0.6825
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  ## Model description
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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: 64
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+ - eval_batch_size: 64
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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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+ | 0.7421 | 1.0 | 42 | 0.5374 | 0.9565 | 0.4314 | 0.3143 | 0.6875 | 0.6532 |
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+ | 0.203 | 2.0 | 84 | 0.3242 | 0.9475 | 0.5783 | 0.6857 | 0.5 | 0.8239 |
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+ | 0.2372 | 3.0 | 126 | 0.4094 | 0.9580 | 0.6216 | 0.6571 | 0.5897 | 0.8159 |
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+ | 0.0244 | 4.0 | 168 | 0.6149 | 0.9535 | 0.5079 | 0.4571 | 0.5714 | 0.7191 |
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+ | 0.047 | 5.0 | 210 | 0.9208 | 0.9610 | 0.5 | 0.3714 | 0.7647 | 0.6825 |
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  ### Framework versions
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