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populism_classifier_320

Text Classification
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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: 0.2008
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- - Accuracy: 0.9656
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- - 1-f1: 0.7931
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- - 1-recall: 0.8519
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- - 1-precision: 0.7419
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- - Balanced Acc: 0.9135
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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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- | 0.1204 | 1.0 | 11 | 0.1130 | 0.9513 | 0.7536 | 0.9630 | 0.6190 | 0.9566 |
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- | 0.1348 | 2.0 | 22 | 0.1736 | 0.9771 | 0.8519 | 0.8519 | 0.8519 | 0.9197 |
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- | 0.0473 | 3.0 | 33 | 0.2008 | 0.9656 | 0.7931 | 0.8519 | 0.7419 | 0.9135 |
 
 
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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: 1.2639
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+ - Accuracy: 0.9570
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+ - 1-f1: 0.6341
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+ - 1-recall: 0.4815
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+ - 1-precision: 0.9286
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+ - Balanced Acc: 0.7392
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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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+ | 0.3596 | 1.0 | 22 | 0.1814 | 0.9542 | 0.75 | 0.8889 | 0.6486 | 0.9243 |
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+ | 0.0678 | 2.0 | 44 | 0.1569 | 0.9312 | 0.6571 | 0.8519 | 0.5349 | 0.8949 |
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+ | 0.0053 | 3.0 | 66 | 0.2965 | 0.9570 | 0.7273 | 0.7407 | 0.7143 | 0.8579 |
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+ | 0.0034 | 4.0 | 88 | 0.6768 | 0.9656 | 0.7273 | 0.5926 | 0.9412 | 0.7947 |
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+ | 0.001 | 5.0 | 110 | 1.2639 | 0.9570 | 0.6341 | 0.4815 | 0.9286 | 0.7392 |
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  ### Framework versions
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