End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: AnonymousCS/populism_multilingual_bert_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: populism_model211
+  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_model211
+
+This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3364
+- Accuracy: 0.9261
+- 1-f1: 0.5426
+- 1-recall: 0.7378
+- 1-precision: 0.4291
+- Balanced Acc: 0.8379
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
+| 0.3259        | 1.0   | 173  | 0.2632          | 0.8631   | 0.4490 | 0.9390   | 0.2950      | 0.8987       |
+| 0.2377        | 2.0   | 346  | 0.2739          | 0.9200   | 0.5405 | 0.7927   | 0.4101      | 0.8604       |
+| 0.192         | 3.0   | 519  | 0.3364          | 0.9261   | 0.5426 | 0.7378   | 0.4291      | 0.8379       |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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