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harshuos/flan-t5-base-v3-edos_labelled_aggregated

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

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flan-t5-base-v3-edoslabelledaggregated

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

  • —Loss: 0.0663
  • —Rouge1: 95.8792
  • —Rouge2: 71.25
  • —Rougel: 95.875
  • —Rougelsum: 95.8792
  • —Gen Len: 4.7903

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
0.08221.017500.068895.837571.995.841795.83334.805
0.06632.035000.066395.879271.2595.87595.87924.7903
0.05363.052500.076495.6569.395.6595.66674.758
0.04864.070000.084995.833369.92595.816795.83334.7657
0.04675.087500.094695.82569.895.808395.8254.7635

Framework versions

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