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populism_classifier_315

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 -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_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4013
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- - Accuracy: 0.9379
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- - 1-f1: 0.6557
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- - 1-recall: 0.8
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- - 1-precision: 0.5556
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- - Balanced Acc: 0.8744
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  ## Model description
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@@ -43,8 +43,8 @@ More information needed
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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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- | 0.3329 | 1.0 | 11 | 0.3437 | 0.8846 | 0.5301 | 0.88 | 0.3793 | 0.8825 |
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- | 0.2765 | 2.0 | 22 | 0.4206 | 0.8580 | 0.4894 | 0.92 | 0.3333 | 0.8865 |
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- | 0.1277 | 3.0 | 33 | 0.4013 | 0.9379 | 0.6557 | 0.8 | 0.5556 | 0.8744 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2852
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+ - Accuracy: 0.9527
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+ - 1-f1: 0.5556
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+ - 1-recall: 0.4
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+ - 1-precision: 0.9091
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+ - Balanced Acc: 0.6984
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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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+ | 0.1878 | 1.0 | 22 | 0.4096 | 0.7485 | 0.3609 | 0.96 | 0.2222 | 0.8458 |
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+ | 0.7696 | 2.0 | 44 | 0.3752 | 0.8846 | 0.5063 | 0.8 | 0.3704 | 0.8457 |
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+ | 0.1811 | 3.0 | 66 | 0.5636 | 0.9201 | 0.5263 | 0.6 | 0.4688 | 0.7728 |
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+ | 0.0429 | 4.0 | 88 | 0.9458 | 0.9556 | 0.6154 | 0.48 | 0.8571 | 0.7368 |
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+ | 0.5734 | 5.0 | 110 | 1.2852 | 0.9527 | 0.5556 | 0.4 | 0.9091 | 0.6984 |
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  ### Framework versions
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