metadata
license: cc-by-nc-sa-4.0
base_model: InstaDeepAI/nucleotide-transformer-500m-1000g
tags:
- generated_from_trainer
model-index:
- name: '0223_1401'
results: []
0223_1401
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