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--- |
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base_model: state-spaces/mamba-130m-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: monsoon-nlp/mamba130-proteinpretrain-quinoa |
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results: [] |
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datasets: |
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- monsoon-nlp/greenbeing-proteins |
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--- |
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# mamba130-proteinpretrain-quinoa |
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Full model finetuning of Mamba-130M-HF on the "research" split (quinoa |
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protein sequences) of GreenBeing-Proteins dataset. |
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Due to limits of V100 GPU, trained 510 steps x batches of 3, ~5% of the research split. |
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Requires GitHub main branch of Transformers (Mamba is not included in releases) |
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Considering training on natural language + proteins, or new "biotokens". |
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More details TBD |
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## Training procedure |
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Notebook: https://colab.research.google.com/drive/1W1rB6rRt8krHZSVYQ_TjbnD9OwzFQeGL |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
