gpt2-psych_chatbot

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

  • Loss: 1.9593

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
5.8353 1.0 651 4.8999
4.8713 2.0 1302 4.4407
4.4876 3.0 1953 4.0638
3.7647 4.0 2604 3.7308
3.3969 5.0 3255 3.4360
3.1115 6.0 3906 3.1895
2.4283 7.0 4557 2.9595
2.0813 8.0 5208 2.7442
1.7785 9.0 5859 2.5330
1.3337 10.0 6510 2.3619
1.066 11.0 7161 2.2079
0.9607 12.0 7812 2.1072
0.8078 13.0 8463 2.0385
0.6072 14.0 9114 1.9966
0.5351 15.0 9765 1.9736
0.5049 16.0 10416 1.9646
0.3958 17.0 11067 1.9607
0.346 18.0 11718 1.9592
0.3244 19.0 12369 1.9565
0.2777 20.0 13020 1.9593

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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