---
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