CoolFace
Modelpublic

Asilkan/mycustom_summarization_model

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
0likes6downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

mycustomsummarizationmodel

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

  • —Loss: 2.5992
  • —Rouge1: 0.1386
  • —Rouge2: 0.0475
  • —Rougel: 0.1129
  • —Rougelsum: 0.1129
  • —Gen Len: 19.0

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: 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

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.0622.88420.12870.03560.10750.107819.0
No log2.01242.67620.13030.04270.10860.108619.0
No log3.01862.61650.13520.0460.11120.11119.0
No log4.02482.59920.13860.04750.11290.112919.0

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3