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ajrayman/AuthorityRespect_fusion

sourceHugging Faceupdated 3d agoView on Hugging Face
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Model Card

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AuthorityRespect_fusion

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0350
  • —Rmse: 0.1870
  • —Mae: 0.1498
  • —Corr: 0.3330

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: 32
  • —evalbatchsize: 32
  • —seed: 1234
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.06
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossRmseMaeCorr
No log1.02200.03230.17960.14040.3211
No log2.04400.03240.18010.14700.3604
0.05213.06600.03040.17430.13730.3414
0.05214.08800.02920.17090.13610.3657
0.02725.011000.03050.17480.13910.3418
0.02726.013200.03500.18700.14980.3330

Framework versions

  • —Transformers 4.44.1
  • —Pytorch 1.11.0
  • —Datasets 2.12.0
  • —Tokenizers 0.19.1