CoolFace
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ankitkupadhyay/outputs

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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outputs

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0224
  • —Pearson: 0.8314

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: 8e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 256
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 7
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossPearson
No log1.02140.02560.7816
No log2.04280.02510.8115
0.03553.06420.02570.8186
0.03554.08560.02200.8255
0.01335.010700.02260.8287
0.01336.012840.02200.8321
0.01337.014980.02240.8314

Framework versions

  • —Transformers 4.19.2
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.2.1
  • —Tokenizers 0.12.1