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---
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 |