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eddieman78/litbank-coref-mem-large-peft-single-7-10

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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litbank-coref-mem-large-peft-single-7-10

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

  • —Loss: 0.0060

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: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —optimizer: Use adafactor and the args are: No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 4

Training results

Training LossEpochStepValidation Loss
0.01181.069860.0068
0.01052.0139720.0064
0.00973.0209580.0061
0.014.0279440.0060

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.47.0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.3.1
  • —Tokenizers 0.21.0