CoolFace
Modelpublic

Prajapat/gpt2_lora_instruction

sourceHugging Facemitupdated 8mo agoView on Hugging Face
0likes10downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

gpt2lorainstruction

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

  • —Loss: nan

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: 0.0003
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.5771.0105301.5139
1.54052.0210601.4920
1.48313.0315901.4804
1.54914.0421201.4737
0.05.052650nan
0.06.063180nan
0.07.073710nan
0.08.084240nan
0.09.094770nan
0.010.0105300nan

Framework versions

  • —PEFT 0.17.1
  • —Transformers 4.57.1
  • —Pytorch 2.8.0+cu126
  • —Datasets 4.4.2
  • —Tokenizers 0.22.1