CoolFace
Modelpublic

Himanshu99001/results

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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results

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0437
  • —Accuracy: 0.9931

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
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
No log1.01080.04130.9931
No log2.02160.04190.9931
No log3.03240.05540.9907
No log4.04320.04020.9931
0.0495.05400.04370.9931

Framework versions

  • —Transformers 4.45.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.20.1