populism_model298
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6550
- Accuracy: 0.8966
- 1-f1: 0.4138
- 1-recall: 0.5806
- 1-precision: 0.3214
- Balanced Acc: 0.7492
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.5542 | 1.0 | 62 | 0.7162 | 0.9270 | 0.3077 | 0.2581 | 0.3810 | 0.6150 |
| 0.3404 | 2.0 | 124 | 0.5272 | 0.8803 | 0.3656 | 0.5484 | 0.2742 | 0.7255 |
| 0.3274 | 3.0 | 186 | 0.6550 | 0.8966 | 0.4138 | 0.5806 | 0.3214 | 0.7492 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model298
Base model
google-bert/bert-large-uncased