AdoCleanCode's picture
Model save
d0eef15 verified
metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: politicalbias-2label-c09_lib01-model
    results: []

politicalbias-2label-c09_lib01-model

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

  • Loss: 1.8627

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
3.6674 1.0 29 2.8958
2.5275 2.0 58 2.4339
2.0891 3.0 87 2.1958
1.8554 4.0 116 2.0607
1.6775 5.0 145 1.9778
1.6552 6.0 174 1.8975
1.4718 7.0 203 1.8459
1.3608 8.0 232 1.8309
1.3041 9.0 261 1.8116
1.1661 10.0 290 1.8149
1.1402 11.0 319 1.8201
1.1035 12.0 348 1.7746
1.0536 13.0 377 1.7806
0.9668 14.0 406 1.7962
0.929 15.0 435 1.7799
0.9476 16.0 464 1.7816
0.9111 17.0 493 1.7952
0.8337 18.0 522 1.8019
0.8791 19.0 551 1.8276
0.8861 20.0 580 1.8185
0.7128 21.0 609 1.8327
0.7104 22.0 638 1.8420
0.8054 23.0 667 1.8565
0.7625 24.0 696 1.8557
0.7074 25.0 725 1.8533
0.7603 26.0 754 1.8685
0.73 27.0 783 1.8639
0.6895 28.0 812 1.8629
0.7133 29.0 841 1.8625
0.7613 30.0 870 1.8627

Framework versions

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