CoolFace
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ntworld6/flan_t5_mobile_descriptions

sourceHugging Faceapache-2.0updated 1mo agoView on Hugging Face
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flant5mobile_descriptions

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: 0.0237

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: 0.0003
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 8
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation Loss
2.31931.030.6287
1.24542.060.2379
0.81503.090.0913
0.40694.0120.0461
0.26085.0150.0273
0.22796.0180.0249
0.10867.0210.0240
0.17818.0240.0237

Framework versions

  • —Transformers 5.13.1
  • —Pytorch 2.11.0+cpu
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2