CoolFace
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bif02/conservation_gc_function_family_codon_t5

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

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conservationgcfunctionfamilycodon_t5

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

  • Loss: 0.3097
  • Accuracy: 0.8770

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: 0
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: polynomial
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.60131.026880.43840.8356
0.53952.053760.27750.8916
0.50373.080640.29630.8855
0.51854.0107520.28370.8867
0.51015.0134400.29570.8904
0.51566.0161280.27890.8928
0.49737.0188160.28000.8904
0.51348.0215040.29890.8806
0.50419.0241920.30310.8758
0.534110.0268800.30970.8770

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.1
  • Tokenizers 0.21.1