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salbatarni/flan-t5-small-asap_t3_f2_prompt_adherence

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

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flan-t5-small-asapt3f2promptadherence

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: 0.0625
  • —Rouge1: 82.0051
  • —Rouge2: 77.1041
  • —Rougel: 81.9898
  • —Rougelsum: 81.9754
  • —Gen Len: 12.0580

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 log1.02590.079679.569874.236279.563779.565112.0333
0.40612.05180.066181.722476.826481.726681.755512.0493
0.40613.07770.060681.578376.506481.545581.575512.0580
0.07154.010360.063481.921377.093581.910181.933912.0551
0.07155.012950.062582.005177.104181.989881.975412.0580

Framework versions

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