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metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: politicalbias-2label-c03_lib07-model
    results: []

politicalbias-2label-c03_lib07-model

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

  • Loss: 1.9355

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
3.5244 1.0 28 2.5668
2.2692 2.0 56 2.1853
2.0836 3.0 84 2.0283
1.7754 4.0 112 1.9467
1.5982 5.0 140 1.8749
1.4859 6.0 168 1.8285
1.3411 7.0 196 1.8039
1.297 8.0 224 1.8076
1.2421 9.0 252 1.7796
1.15 10.0 280 1.7774
1.1074 11.0 308 1.7635
1.047 12.0 336 1.8137
1.0428 13.0 364 1.7921
0.9604 14.0 392 1.8193
0.8682 15.0 420 1.8181
0.8917 16.0 448 1.8343
0.8894 17.0 476 1.8326
0.8294 18.0 504 1.8490
0.7678 19.0 532 1.8554
0.7505 20.0 560 1.8810
0.8025 21.0 588 1.8835
0.7605 22.0 616 1.8865
0.7012 23.0 644 1.9070
0.7109 24.0 672 1.9196
0.7366 25.0 700 1.9230
0.6955 26.0 728 1.9331
0.697 27.0 756 1.9366
0.7307 28.0 784 1.9354
0.6852 29.0 812 1.9360
0.7243 30.0 840 1.9355

Framework versions

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