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DialoGPT-small-FinalFantasyDialogue

This model is a fine-tuned version of microsoft/DialoGPT-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3930

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: 0.005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
3.3955 1.0 141 2.8517
2.5623 1.99 282 2.1898
1.9315 3.0 424 1.7076
1.5264 4.0 565 1.3901
1.2892 4.99 706 1.1884
1.1325 6.0 848 1.0805
1.0404 7.0 989 0.9933
0.8733 8.0 1131 0.8070
0.6344 9.0 1272 0.6326
0.5047 9.99 1413 0.5504
0.413 11.0 1555 0.5021
0.3457 12.0 1696 0.4586
0.3049 12.99 1837 0.4294
0.2475 14.0 1979 0.4154
0.2081 15.0 2120 0.3943
0.1808 16.0 2262 0.3886
0.1601 17.0 2403 0.3839
0.1431 17.99 2544 0.3850
0.1323 19.0 2686 0.3843
0.1221 19.95 2820 0.3930

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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