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populism_classifier_344

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 +12 -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: 0.3727
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- - Accuracy: 0.9160
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- - 1-f1: 0.5376
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- - 1-recall: 0.7576
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- - 1-precision: 0.4167
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- - Balanced Acc: 0.8423
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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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- | 0.3446 | 1.0 | 16 | 0.2997 | 0.8164 | 0.3974 | 0.9394 | 0.2520 | 0.8737 |
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- | 0.2425 | 2.0 | 32 | 0.2737 | 0.8535 | 0.4444 | 0.9091 | 0.2941 | 0.8794 |
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- | 0.1708 | 3.0 | 48 | 0.3248 | 0.9297 | 0.5814 | 0.7576 | 0.4717 | 0.8496 |
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- | 0.1454 | 4.0 | 64 | 0.3727 | 0.9160 | 0.5376 | 0.7576 | 0.4167 | 0.8423 |
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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: 0.3911
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+ - Accuracy: 0.9219
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+ - 1-f1: 0.5455
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+ - 1-recall: 0.7273
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+ - 1-precision: 0.4364
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+ - Balanced Acc: 0.8313
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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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+ | 0.3601 | 1.0 | 32 | 0.2470 | 0.8652 | 0.4567 | 0.8788 | 0.3085 | 0.8715 |
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+ | 0.2107 | 2.0 | 64 | 0.3430 | 0.9414 | 0.5946 | 0.6667 | 0.5366 | 0.8135 |
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+ | 0.1748 | 3.0 | 96 | 0.3222 | 0.9238 | 0.5618 | 0.7576 | 0.4464 | 0.8464 |
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+ | 0.1041 | 4.0 | 128 | 0.3911 | 0.9219 | 0.5455 | 0.7273 | 0.4364 | 0.8313 |
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  ### Framework versions
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