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populism_classifier_316

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 +16 -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: 0.4714
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- - Accuracy: 0.9811
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- - 1-f1: 0.0
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- - 1-recall: 0.0
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- - 1-precision: 0.0
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- - Balanced Acc: 0.4989
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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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- | 0.3935 | 1.0 | 57 | 0.4024 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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- | 0.5936 | 2.0 | 114 | 0.4685 | 0.9622 | 0.0556 | 0.0667 | 0.0476 | 0.5220 |
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- | 0.6123 | 3.0 | 171 | 0.4714 | 0.9811 | 0.0 | 0.0 | 0.0 | 0.4989 |
 
 
 
 
 
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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: 0.6095
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+ - Accuracy: 0.9699
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+ - 1-f1: 0.0357
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+ - 1-recall: 0.0333
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+ - 1-precision: 0.0385
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+ - Balanced Acc: 0.5096
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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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+ | 0.6548 | 1.0 | 113 | 0.4252 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.6664 | 2.0 | 226 | 0.4172 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.8151 | 3.0 | 339 | 0.5089 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | 0.2963 | 4.0 | 452 | 0.3818 | 0.9722 | 0.0 | 0.0 | 0.0 | 0.4943 |
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+ | 0.3041 | 5.0 | 565 | 0.3744 | 0.9499 | 0.0625 | 0.1 | 0.0455 | 0.5322 |
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+ | 0.3154 | 6.0 | 678 | 0.4617 | 0.9777 | 0.0476 | 0.0333 | 0.0833 | 0.5136 |
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+ | 0.3114 | 7.0 | 791 | 0.6197 | 0.9772 | 0.0 | 0.0 | 0.0 | 0.4969 |
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+ | 0.2294 | 8.0 | 904 | 0.6095 | 0.9699 | 0.0357 | 0.0333 | 0.0385 | 0.5096 |
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  ### Framework versions
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