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datasetsANDmodels/message-extraction

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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This model extracts the message from the text

message_extraction

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

  • —Loss: 0.0185

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
0.31311.01910.3448
0.23322.03820.1029
0.1273.05730.0606
0.06854.07640.0423
0.0525.09550.0338
0.00026.011460.0275
0.04687.013370.0238
0.028.015280.0207
0.05679.017190.0189
0.004410.019100.0185

Framework versions

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