End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_english_bert_base_cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model156
+  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_model156
+
+This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3823
+- Accuracy: 0.8940
+- 1-f1: 0.5195
+- 1-recall: 0.7407
+- 1-precision: 0.4
+- Balanced Acc: 0.8238
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| No log        | 1.0   | 22   | 0.3188          | 0.8367   | 0.4571 | 0.8889   | 0.3077      | 0.8606       |
+| 0.3292        | 2.0   | 44   | 0.3269          | 0.8883   | 0.5412 | 0.8519   | 0.3966      | 0.8716       |
+| 0.203         | 3.0   | 66   | 0.3823          | 0.8940   | 0.5195 | 0.7407   | 0.4         | 0.8238       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Jan22_05-28-59_f98732f77a19/events.out.tfevents.1737523741.f98732f77a19.506.39

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