Add updated model card (README)
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README.md
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# QuantaMaths: `sub_d10_l2_h3_t75K_gf_s173289`
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### Model-specific metadata for `sub_d10_l2_h3_t75K_gf_s173289`
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- **Operation type**: sub
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- **Max digits**: d10
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- **Layers**: l2
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- **Attention Heads**: h3
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- **Training steps**: t75K
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This repository contains a transformer model that can predict addition questions, subtraction questions, or both.
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**Folder name details**:
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- "add", "sub", or "mix": The types of questions the model can predict.
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- "d5" to "d20": How many digits the model handles (e.g. a d5 sub model can predict the answer in 123450-345670=-0123230).
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- "l1", "l2", or "l3": The number of layers in the model.
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- "h3" or "h4": The number of attention heads in the model.
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- "t15K" to "t85K", etc.: The number of batches the model was trained on.
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- "s372001", etc.: The random seed used in model training.
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Some folder names also contain:
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- "ins1": Before training, the model was initialized with a smaller, accurate addition model.
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- "ins2": Same as ins1, but the inserted attention heads were not allowed to change.
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- "ins3": Same as ins2, but the inserted MLP layers were also not allowed to change.
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**Contents**:
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- `model.pth`: The trained transformer model.
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- `training_loss.json`: Data gathered during model training (used to plot "loss over training batches").
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- `behaviors.json`: Facts gathered about the model by direct inspection (attention pattern data, PCA data, digit impact data, etc.).
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- `features.json`: Facts gathered about hypothesized algorithm features via experimentation, e.g. node P12L0H1 implements the feature A3.ST.
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**Provenance**:
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- `model.pth` and `training_loss.json` were created by [QuantaMathsTrain.ipynb](https://github.com/PhilipQuirke/quanta_maths/blob/main/notebooks/QuantaMathsTrain.ipynb).
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- `behaviors.json` and `features.json` were created by [QuantaMathsAnalyse.ipynb](https://github.com/PhilipQuirke/quanta_maths/blob/main/notebooks/QuantaMathsAnalyse.ipynb).
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- The JSON files are used by [QuantaMathsAlgorithm.ipynb](https://github.com/PhilipQuirke/quanta_maths/blob/main/notebooks/QuantaMathsAlgorithm.ipynb).
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