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populism_classifier_341

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 +15 -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: 0.3374
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- - Accuracy: 0.8817
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- - 1-f1: 0.4872
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- - 1-recall: 0.76
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- - 1-precision: 0.3585
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- - Balanced Acc: 0.8257
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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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- | 0.4498 | 1.0 | 11 | 0.3229 | 0.7959 | 0.4 | 0.92 | 0.2556 | 0.8530 |
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- | 0.4547 | 2.0 | 22 | 0.4051 | 0.7367 | 0.3407 | 0.92 | 0.2091 | 0.8210 |
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- | 0.2296 | 3.0 | 33 | 0.3374 | 0.8817 | 0.4872 | 0.76 | 0.3585 | 0.8257 |
 
 
 
 
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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: 0.5546
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+ - Accuracy: 0.9231
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+ - 1-f1: 0.5806
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+ - 1-recall: 0.72
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+ - 1-precision: 0.4865
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+ - Balanced Acc: 0.8296
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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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+ | 0.2094 | 1.0 | 22 | 0.4014 | 0.7160 | 0.3239 | 0.92 | 0.1966 | 0.8098 |
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+ | 0.8705 | 2.0 | 44 | 0.4109 | 0.7396 | 0.3433 | 0.92 | 0.2110 | 0.8226 |
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+ | 0.2203 | 3.0 | 66 | 0.3762 | 0.8846 | 0.5063 | 0.8 | 0.3704 | 0.8457 |
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+ | 0.0783 | 4.0 | 88 | 0.3670 | 0.9260 | 0.6154 | 0.8 | 0.5 | 0.8681 |
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+ | 0.3877 | 5.0 | 110 | 0.4687 | 0.9201 | 0.5970 | 0.8 | 0.4762 | 0.8649 |
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+ | 0.6251 | 6.0 | 132 | 0.5353 | 0.9408 | 0.6552 | 0.76 | 0.5758 | 0.8576 |
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+ | 0.017 | 7.0 | 154 | 0.5546 | 0.9231 | 0.5806 | 0.72 | 0.4865 | 0.8296 |
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  ### Framework versions
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