CoolFace
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Null77/results

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

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results

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

  • —Loss: 1.1152

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: 1e-05
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 20
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
14.03281.058613.4181
13.5132.0117210.5642
10.5073.017585.6171
5.75164.023443.1528
2.88425.029302.4462
1.88026.035162.0028
1.54957.041021.7180
1.41168.046881.4359
1.30899.052741.3587
1.141610.058601.2989
1.108611.064461.2506
0.950212.070321.1806
0.988913.076181.1599
0.88714.082041.1429
0.945215.087901.1311
0.813116.093761.1235
0.880517.099621.1191
0.835418.0105481.1163
0.813519.0111341.1153
0.829220.0117201.1152

Framework versions

  • —PEFT 0.17.0
  • —Transformers 4.54.1
  • —Pytorch 2.6.0+cu124
  • —Datasets 4.0.0
  • —Tokenizers 0.21.4