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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: AnonymousCS/populism_multilingual_roberta_base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ - recall
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+ - precision
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+ model-index:
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+ - name: populism_model81
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # populism_model81
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+
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+ This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2954
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+ - Accuracy: 0.9270
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+ - F1: 0.368
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+ - Recall: 0.6765
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+ - Precision: 0.2527
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 34 | 0.4249 | 0.9686 | 0.0 | 0.0 | 0.0 |
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+ | 0.4338 | 2.0 | 68 | 0.3313 | 0.9575 | 0.3784 | 0.4118 | 0.35 |
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+ | 0.2741 | 3.0 | 102 | 0.3236 | 0.9482 | 0.3913 | 0.5294 | 0.3103 |
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+ | 0.2741 | 4.0 | 136 | 0.2919 | 0.9298 | 0.3770 | 0.6765 | 0.2614 |
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+ | 0.2314 | 5.0 | 170 | 0.2954 | 0.9270 | 0.368 | 0.6765 | 0.2527 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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