CoolFace
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yash261/product_description_generation

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

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productdescriptiongenerator

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

  • —Loss: 4.0241
  • —Rouge1: 0.1639
  • —Rouge2: 0.0
  • —Rougel: 0.1337
  • —Rougelsum: 0.1357
  • —Gen Len: 11.4

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.064.23110.13650.00.11030.110212.1
No log2.0124.14370.16680.00.13210.133213.2
No log3.0184.05720.1430.00.11520.115211.8
No log4.0244.02410.16390.00.13370.135711.4

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3