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metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: politicalbias-2label-real-model
    results: []

politicalbias-2label-real-model

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7471

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.9828 1.0 39 2.4471
2.2313 2.0 78 2.0422
2.0586 3.0 117 1.8611
1.7542 4.0 156 1.7685
1.549 5.0 195 1.7010
1.4293 6.0 234 1.6650
1.3637 7.0 273 1.6152
1.2406 8.0 312 1.6382
1.1573 9.0 351 1.6230
1.1089 10.0 390 1.6142
1.1462 11.0 429 1.6144
1.0535 12.0 468 1.6303
1.0122 13.0 507 1.6216
0.9419 14.0 546 1.6392
0.8635 15.0 585 1.6257
0.8324 16.0 624 1.6638
0.9237 17.0 663 1.6579
0.8648 18.0 702 1.6813
0.8705 19.0 741 1.6845
0.7731 20.0 780 1.6865
0.7712 21.0 819 1.7009
0.8053 22.0 858 1.7126
0.7734 23.0 897 1.7075
0.7188 24.0 936 1.7203
0.6785 25.0 975 1.7335
0.7539 26.0 1014 1.7470
0.7204 27.0 1053 1.7413
0.7392 28.0 1092 1.7434
0.7806 29.0 1131 1.7458
0.7152 30.0 1170 1.7471

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.1.2+cu121
  • Datasets 2.19.1
  • Tokenizers 0.20.3