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populism_classifier_356

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 +15 -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: 0.3739
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- - Accuracy: 0.9591
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- - 1-f1: 0.6222
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- - 1-recall: 0.6364
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- - 1-precision: 0.6087
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- - Balanced Acc: 0.8068
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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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- | 0.3094 | 1.0 | 13 | 0.1785 | 0.9038 | 0.5238 | 1.0 | 0.3548 | 0.9492 |
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- | 0.1633 | 2.0 | 26 | 0.1302 | 0.9471 | 0.6562 | 0.9545 | 0.5 | 0.9506 |
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- | 0.0994 | 3.0 | 39 | 0.1305 | 0.9375 | 0.6176 | 0.9545 | 0.4565 | 0.9455 |
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- | 0.1302 | 4.0 | 52 | 0.3739 | 0.9591 | 0.6222 | 0.6364 | 0.6087 | 0.8068 |
 
 
 
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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: 0.3258
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+ - Accuracy: 0.9495
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+ - 1-f1: 0.6038
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+ - 1-recall: 0.7273
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+ - 1-precision: 0.5161
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+ - Balanced Acc: 0.8446
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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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+ | 0.1924 | 1.0 | 26 | 0.1308 | 0.9399 | 0.6377 | 1.0 | 0.4681 | 0.9683 |
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+ | 0.0207 | 2.0 | 52 | 0.1297 | 0.9447 | 0.6567 | 1.0 | 0.4889 | 0.9708 |
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+ | 0.1206 | 3.0 | 78 | 0.1317 | 0.9543 | 0.6984 | 1.0 | 0.5366 | 0.9759 |
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+ | 0.0471 | 4.0 | 104 | 0.1257 | 0.9567 | 0.7097 | 1.0 | 0.55 | 0.9772 |
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+ | 0.2653 | 5.0 | 130 | 0.3578 | 0.9591 | 0.6667 | 0.7727 | 0.5862 | 0.8711 |
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+ | 0.0014 | 6.0 | 156 | 0.2350 | 0.9543 | 0.6545 | 0.8182 | 0.5455 | 0.8901 |
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+ | 0.0013 | 7.0 | 182 | 0.3258 | 0.9495 | 0.6038 | 0.7273 | 0.5161 | 0.8446 |
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  ### Framework versions
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