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populism_classifier_359

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 +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: 0.5199
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- - Accuracy: 0.7879
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- - 1-f1: 0.384
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- - 1-recall: 0.75
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- - 1-precision: 0.2581
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- - Balanced Acc: 0.7708
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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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- | 0.8124 | 1.0 | 12 | 0.4385 | 0.7245 | 0.3590 | 0.875 | 0.2258 | 0.7925 |
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- | 0.4049 | 2.0 | 24 | 0.4576 | 0.7300 | 0.3636 | 0.875 | 0.2295 | 0.7955 |
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- | 0.3579 | 3.0 | 36 | 0.5199 | 0.7879 | 0.384 | 0.75 | 0.2581 | 0.7708 |
 
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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: 0.6162
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+ - Accuracy: 0.8017
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+ - 1-f1: 0.3793
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+ - 1-recall: 0.6875
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+ - 1-precision: 0.2619
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+ - Balanced Acc: 0.7501
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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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+ | 0.7089 | 1.0 | 23 | 0.5026 | 0.6832 | 0.3275 | 0.875 | 0.2014 | 0.7698 |
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+ | 0.3315 | 2.0 | 46 | 0.5417 | 0.8209 | 0.3689 | 0.5938 | 0.2676 | 0.7183 |
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+ | 0.379 | 3.0 | 69 | 0.5617 | 0.8127 | 0.3929 | 0.6875 | 0.275 | 0.7561 |
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+ | 0.2239 | 4.0 | 92 | 0.6162 | 0.8017 | 0.3793 | 0.6875 | 0.2619 | 0.7501 |
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  ### Framework versions
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