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populism_classifier_343

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 +12 -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: 0.4290
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- - Accuracy: 0.9277
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- - 1-f1: 0.4918
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- - 1-recall: 0.625
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- - 1-precision: 0.4054
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- - Balanced Acc: 0.7853
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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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- | 0.2139 | 1.0 | 14 | 0.3857 | 0.9371 | 0.5091 | 0.5833 | 0.4516 | 0.7707 |
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- | 0.2377 | 2.0 | 28 | 0.2979 | 0.9091 | 0.4935 | 0.7917 | 0.3585 | 0.8539 |
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- | 0.1183 | 3.0 | 42 | 0.2994 | 0.8951 | 0.4578 | 0.7917 | 0.3220 | 0.8465 |
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- | 0.4025 | 4.0 | 56 | 0.4290 | 0.9277 | 0.4918 | 0.625 | 0.4054 | 0.7853 |
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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: 0.5474
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+ - Accuracy: 0.9510
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+ - 1-f1: 0.5714
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+ - 1-recall: 0.5833
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+ - 1-precision: 0.56
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+ - Balanced Acc: 0.7781
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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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+ | 0.1989 | 1.0 | 27 | 0.2765 | 0.9347 | 0.5758 | 0.7917 | 0.4524 | 0.8674 |
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+ | 0.1547 | 2.0 | 54 | 0.4345 | 0.9580 | 0.6087 | 0.5833 | 0.6364 | 0.7818 |
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+ | 0.0386 | 3.0 | 81 | 0.3843 | 0.9557 | 0.6545 | 0.75 | 0.5806 | 0.8590 |
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+ | 0.3989 | 4.0 | 108 | 0.5474 | 0.9510 | 0.5714 | 0.5833 | 0.56 | 0.7781 |
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  ### Framework versions
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