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QooBao/tuned_XLM_RLarge_after_big

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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tunedXLMRLargeafterbig

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.9037

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: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.05
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
1.97171.05941.5020
1.44632.011881.1359
1.15793.017820.9597
0.90284.023760.9048
0.68875.029700.9037
0.33026.035640.9316
0.24957.041581.0809
0.16658.047521.1974
0.12239.053461.3164

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1