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stuartmesham/xlnet-large_spell_5k_1_p3

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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xlnet-largespell5k1p3

This model is a fine-tuned version of model_saves/xlnet-large_spell_5k_1_p2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4678
  • —Accuracy: 0.9400

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: 1e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 128
  • —seed: 42
  • —distributed_type: multi-GPU
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —num_epochs: 15.0

Training results

Training LossEpochStepValidation LossAccuracy
No log1.02680.43830.9397
No log2.05360.46780.9400
No log3.08040.49200.9397
0.29744.010720.53510.9390
0.29745.013400.59070.9388

Framework versions

  • —Transformers 4.21.0.dev0
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1