metadata

base_model: state-spaces/mamba-130m-hf
tags:
  - generated_from_trainer
model-index:
  - name: monsoon-nlp/mamba130-proteinpretrain-quinoa
    results: []
datasets:
  - monsoon-nlp/greenbeing-proteins

mamba130-proteinpretrain-quinoa

Full model finetuning of Mamba-130M-HF on the "research" split (quinoa protein sequences) of GreenBeing-Proteins dataset.

Due to limits of V100 GPU, trained 510 steps x batches of 3, ~5% of the research split.

Requires GitHub main branch of Transformers (Mamba is not included in releases)

Considering training on natural language + proteins, or new "biotokens".

More details TBD

Training procedure

Notebook: https://colab.research.google.com/drive/1W1rB6rRt8krHZSVYQ_TjbnD9OwzFQeGL

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 3
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2