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metadata
license: cc-by-nc-sa-4.0
base_model: InstaDeepAI/nucleotide-transformer-500m-1000g
tags:
  - generated_from_trainer
model-index:
  - name: '0223_1405'
    results: []

0223_1405

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-500m-1000g on the None dataset.

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
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 224
  • gradient_accumulation_steps: 80
  • total_train_batch_size: 160
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 2

Training results

Framework versions

  • Transformers 4.37.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.17.1
  • Tokenizers 0.15.1