CoolFace
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xshubhamx/flan-t5-small

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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flan-t5-small

This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Accuracy: 1
  • F1 Micro: 1
  • F1 Macro: 1
  • F1 Weighted: 1

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: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 15
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1 MicroF1 MacroF1 Weighted
0.01.0643nan1111
0.02.01286nan1111
0.03.01929nan1111
0.04.02572nan1111
0.05.03215nan1111
0.06.03858nan1111
0.07.04501nan1111
0.08.05144nan1111
0.09.05787nan1111
0.010.06430nan1111
0.011.07073nan1111
0.012.07716nan1111
0.013.08359nan1111
0.014.09002nan1111
0.015.09645nan1111

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2