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populism_classifier_351

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 +12 -11
  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: 0.4204
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- - Accuracy: 0.9415
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- - 1-f1: 0.4074
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- - 1-recall: 0.4783
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- - 1-precision: 0.3548
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- - Balanced Acc: 0.7200
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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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- | 0.4481 | 1.0 | 18 | 0.2904 | 0.8793 | 0.3654 | 0.8261 | 0.2346 | 0.8539 |
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- | 0.1345 | 2.0 | 36 | 0.5896 | 0.9506 | 0.2703 | 0.2174 | 0.3571 | 0.6001 |
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- | 0.1139 | 3.0 | 54 | 0.4204 | 0.9415 | 0.4074 | 0.4783 | 0.3548 | 0.7200 |
 
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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: 0.4898
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+ - Accuracy: 0.9470
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+ - 1-f1: 0.4727
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+ - 1-recall: 0.5652
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+ - 1-precision: 0.4062
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+ - Balanced Acc: 0.7645
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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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+ | 0.551 | 1.0 | 35 | 0.2929 | 0.9250 | 0.4058 | 0.6087 | 0.3043 | 0.7738 |
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+ | 0.1891 | 2.0 | 70 | 0.4090 | 0.9452 | 0.4231 | 0.4783 | 0.3793 | 0.7220 |
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+ | 0.1242 | 3.0 | 105 | 0.3443 | 0.9214 | 0.4267 | 0.6957 | 0.3077 | 0.8135 |
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+ | 0.3557 | 4.0 | 140 | 0.4898 | 0.9470 | 0.4727 | 0.5652 | 0.4062 | 0.7645 |
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  ### Framework versions
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