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salbatarni/flan-t5-small-asap_t5_f0_prompt_adherence

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

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flan-t5-small-asapt5f0promptadherence

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

  • —Loss: 0.0638
  • —Rouge1: 79.3921
  • —Rouge2: 73.8671
  • —Rougel: 79.4314
  • —Rougelsum: 79.397
  • —Gen Len: 12.0319

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: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.02710.098376.069368.943376.062176.07712.0
0.47452.05420.071576.912370.685476.988976.904712.0083
0.47453.08130.065278.433772.728578.496878.413612.0180
0.08684.010840.064579.191673.692279.221179.142112.0277
0.08685.013550.063879.392173.867179.431479.39712.0319

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.1.2
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2