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populism_classifier_358

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +14 -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: 0.3769
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- - Accuracy: 0.9040
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- - 1-f1: 0.6885
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- - 1-recall: 0.84
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- - 1-precision: 0.5833
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- - Balanced Acc: 0.8766
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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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- | 0.504 | 1.0 | 7 | 0.3856 | 0.8939 | 0.6441 | 0.76 | 0.5588 | 0.8366 |
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- | 0.2172 | 2.0 | 14 | 0.2909 | 0.8434 | 0.6076 | 0.96 | 0.4444 | 0.8933 |
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- | 0.1967 | 3.0 | 21 | 0.3265 | 0.8939 | 0.6866 | 0.92 | 0.5476 | 0.9051 |
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- | 0.1638 | 4.0 | 28 | 0.3769 | 0.9040 | 0.6885 | 0.84 | 0.5833 | 0.8766 |
 
 
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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: 0.7581
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+ - Accuracy: 0.8990
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+ - 1-f1: 0.6154
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+ - 1-recall: 0.64
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+ - 1-precision: 0.5926
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+ - Balanced Acc: 0.7882
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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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+ | 0.5184 | 1.0 | 13 | 0.4303 | 0.8636 | 0.64 | 0.96 | 0.48 | 0.9049 |
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+ | 0.3579 | 2.0 | 26 | 0.4185 | 0.9040 | 0.6984 | 0.88 | 0.5789 | 0.8938 |
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+ | 0.1461 | 3.0 | 39 | 0.3564 | 0.8889 | 0.6667 | 0.88 | 0.5366 | 0.8851 |
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+ | 0.0568 | 4.0 | 52 | 0.3910 | 0.9040 | 0.6984 | 0.88 | 0.5789 | 0.8938 |
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+ | 0.1594 | 5.0 | 65 | 0.8283 | 0.8939 | 0.5882 | 0.6 | 0.5769 | 0.7682 |
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+ | 0.0498 | 6.0 | 78 | 0.7581 | 0.8990 | 0.6154 | 0.64 | 0.5926 | 0.7882 |
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  ### Framework versions
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