End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_base_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model252
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# populism_model252
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5330
+- Accuracy: 0.9231
+- 1-f1: 0.4407
+- 1-recall: 0.5417
+- 1-precision: 0.3714
+- Balanced Acc: 0.7437
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.4285        | 1.0   | 27   | 0.3839          | 0.8998   | 0.3385 | 0.4583   | 0.2683      | 0.6921       |
+| 0.2614        | 2.0   | 54   | 0.5452          | 0.9254   | 0.4286 | 0.5      | 0.375       | 0.7253       |
+| 0.1887        | 3.0   | 81   | 0.5330          | 0.9231   | 0.4407 | 0.5417   | 0.3714      | 0.7437       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_23-11-33_bf5d572c1e11/events.out.tfevents.1737587494.bf5d572c1e11.1060.70

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