CoolFace
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mzizo4110/Summarization

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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Summarization

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

  • —Loss: 1.1039

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
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
5.3620.22295001.4059
1.34090.445810001.1536
1.15520.668715001.1228
1.13080.891620001.1134
1.11921.114125001.1088
1.11651.337030001.1061
1.11471.559935001.1046
1.11511.782840001.1039

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.51.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.0