mpekey/Progen2_Kinase_PhosphositeGen_dkz_traindata_250step

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Progen2KinasePhosphositeGendkztraindata_250step

This model is a fine-tuned version of hugohrban/progen2-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0437
• —Perplexity: 7.7194

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: 0.0005
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosinewithrestarts
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 250

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.47.1
• —Pytorch 2.1.0.post301
• —Datasets 3.0.2
• —Tokenizers 0.21.0