CoolFace
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batman555/layer_1_classifier_google

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

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layer1classifier_google

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4568
  • Accuracy: 0.9022

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: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 8

Training results

Training LossEpochStepValidation LossAccuracy
No log1.020.51031.0
No log2.040.47841.0
No log3.060.45331.0
No log4.080.43401.0
No log5.0100.41681.0
No log6.0120.40401.0
No log7.0140.39561.0
No log8.0160.39211.0

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3