CoolFace
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ralyn/NPComposer-v2

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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NPComposer-v2

This model is a fine-tuned version of ibm-research/GP-MoLFormer-Uniq on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2718

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: 5e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.03
  • —num_epochs: 8.0

Training results

Training LossEpochStepValidation Loss
0.40691.0277630.3820
0.35072.0555260.3371
0.32473.0832890.3142
0.30744.01110520.2995
0.2915.01388150.2888
0.27656.01665780.2803
0.26777.01943410.2750
0.25698.02221040.2718

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.10.0+cu128
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1

Hardware

1 x NVIDIA A40 48GB GPU