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thrunlab/t5-base_cola_moe_ex38_sp0_2_ar0_0_mare_mlp

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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t5-basecolamoeex38sp02ar00mare_mlp

This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4611
  • —Accuracy: 0.0

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: 64
  • —seed: 1
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 20
  • —num_epochs: 6

Training results

Training LossEpochStepValidation LossAccuracy
0.51680.32250.56690.7220
0.50330.64500.52960.7690
0.47420.96750.54930.7653
0.42171.281000.54730.7726
0.41881.61250.57590.7834
0.45651.921500.57210.7653
0.33542.241750.53070.7762
0.25892.562000.58040.7942

Framework versions

  • —Transformers 4.33.2
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.14.5
  • —Tokenizers 0.11.6