CoolFace
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neha-m/trained_json_model

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

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trainedjsonmodel

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

  • —Loss: 2.9795
  • —Rouge1: 0.176
  • —Rouge2: 0.0818
  • —Rougel: 0.1527
  • —Rougelsum: 0.1538
  • —Gen Len: 18.88

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 log1.073.41460.17060.07460.14080.139918.92
No log2.0143.15850.16330.07320.14130.141118.8
No log3.0213.02440.16780.07850.14670.14818.8
No log4.0282.97950.1760.08180.15270.153818.88

Framework versions

  • —Transformers 4.38.1
  • —Pytorch 2.3.1
  • —Datasets 2.20.0
  • —Tokenizers 0.15.2