Kpps/mapq

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mapq

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-500m-human-ref on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1144
• —eval_runtime: 9.9706
• —evalsamplesper_second: 100.295
• —evalstepsper_second: 6.319
• —epoch: 1.0844
• —step: 6100

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —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: 3

Framework versions

• —PEFT 0.18.1
• —Transformers 5.0.0
• —Pytorch 2.9.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2