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datasetsANDmodels/purpose-extraction

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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This model extracts purpose from intent.

purpose_extractor

This model is a fine-tuned version of t5-large on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0203

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: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
1.11791.01090.6176
0.092.02180.1340
0.09823.03270.0781
0.00154.04360.0522
0.36955.05450.0406
0.00516.06540.0310
0.02947.07630.0251
0.00278.08720.0228
0.0159.09810.0209
0.030310.010900.0203

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.1
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0