Duplicate from facebook/tribev2
Browse filesCo-authored-by: Meta Platforms <meta-bot@users.noreply.huggingface.co>
- .gitattributes +35 -0
- LICENSE +407 -0
- README.md +126 -0
- best.ckpt +3 -0
- config.yaml +619 -0
.gitattributes
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LICENSE
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| 1 |
+
Attribution-NonCommercial 4.0 International
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=======================================================================
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Creative Commons Corporation ("Creative Commons") is not a law firm and
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fullest extent possible.
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Using Creative Commons Public Licenses
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k. Sui Generis Database Rights means rights other than copyright
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as amended and/or succeeded, as well as other essentially
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Creative Commons may be contacted at creativecommons.org.
|
README.md
ADDED
|
@@ -0,0 +1,126 @@
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|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
---
|
| 4 |
+
<div align="center">
|
| 5 |
+
|
| 6 |
+
# TRIBE v2
|
| 7 |
+
|
| 8 |
+
**A Foundation Model of Vision, Audition, and Language for In-Silico Neuroscience**
|
| 9 |
+
|
| 10 |
+
[](https://colab.research.google.com/github/facebookresearch/tribev2/blob/main/tribe_demo.ipynb)
|
| 11 |
+
[](https://creativecommons.org/licenses/by-nc/4.0/)
|
| 12 |
+
[](https://www.python.org/downloads/)
|
| 13 |
+
|
| 14 |
+
📄 [Paper](https://ai.meta.com/research/publications/a-foundation-model-of-vision-audition-and-language-for-in-silico-neuroscience/) ▶️ [Demo](https://aidemos.atmeta.com/tribev2/) | 🤗 [Weights](https://huggingface.co/facebook/tribev2)
|
| 15 |
+
|
| 16 |
+
</div>
|
| 17 |
+
|
| 18 |
+
TRIBE v2 is a deep multimodal brain encoding model that predicts fMRI brain responses to naturalistic stimuli (video, audio, text). It combines state-of-the-art feature extractors — [**LLaMA 3.2**](https://huggingface.co/meta-llama/Llama-3.2-3B) (text), [**V-JEPA2**](https://huggingface.co/facebook/vjepa2-vitg-fpc64-256) (video), and [**Wav2Vec-BERT**](https://huggingface.co/facebook/w2v-bert-2.0) (audio) — into a unified Transformer architecture that maps multimodal representations onto the cortical surface.
|
| 19 |
+
|
| 20 |
+
## Quick start
|
| 21 |
+
|
| 22 |
+
Load a pretrained model from HuggingFace and predict brain responses to a video:
|
| 23 |
+
|
| 24 |
+
```python
|
| 25 |
+
from tribev2 import TribeModel
|
| 26 |
+
|
| 27 |
+
model = TribeModel.from_pretrained("facebook/tribev2", cache_folder="./cache")
|
| 28 |
+
|
| 29 |
+
df = model.get_events_dataframe(video_path="path/to/video.mp4")
|
| 30 |
+
preds, segments = model.predict(events=df)
|
| 31 |
+
print(preds.shape) # (n_timesteps, n_vertices)
|
| 32 |
+
```
|
| 33 |
+
|
| 34 |
+
Predictions are for the "average" subject (see paper for details) and live on the **fsaverage5** cortical mesh (~20k vertices). You can also pass `text_path` or `audio_path` to `model.get_events_dataframe` — text is automatically converted to speech and transcribed to obtain word-level timings.
|
| 35 |
+
|
| 36 |
+
For a full walkthrough with brain visualizations, see the [Colab demo notebook](https://colab.research.google.com/github/facebookresearch/tribev2/blob/main/tribe_demo.ipynb).
|
| 37 |
+
|
| 38 |
+
## Installation
|
| 39 |
+
|
| 40 |
+
**Basic** (inference only):
|
| 41 |
+
```bash
|
| 42 |
+
pip install -e .
|
| 43 |
+
```
|
| 44 |
+
|
| 45 |
+
**With brain visualization**:
|
| 46 |
+
```bash
|
| 47 |
+
pip install -e ".[plotting]"
|
| 48 |
+
```
|
| 49 |
+
|
| 50 |
+
**With training dependencies** (PyTorch Lightning, W&B, etc.):
|
| 51 |
+
```bash
|
| 52 |
+
pip install -e ".[training]"
|
| 53 |
+
```
|
| 54 |
+
|
| 55 |
+
## Training a model from scratch
|
| 56 |
+
|
| 57 |
+
### 1. Set environment variables
|
| 58 |
+
|
| 59 |
+
Configure data/output paths and Slurm partition (or edit `tribev2/grids/defaults.py` directly):
|
| 60 |
+
|
| 61 |
+
```bash
|
| 62 |
+
export DATAPATH="/path/to/studies"
|
| 63 |
+
export SAVEPATH="/path/to/output"
|
| 64 |
+
export SLURM_PARTITION="your_partition"
|
| 65 |
+
```
|
| 66 |
+
|
| 67 |
+
### 2. Authenticate with HuggingFace
|
| 68 |
+
|
| 69 |
+
The text encoder requires access to the gated [LLaMA 3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) model:
|
| 70 |
+
|
| 71 |
+
```bash
|
| 72 |
+
huggingface-cli login
|
| 73 |
+
```
|
| 74 |
+
|
| 75 |
+
Create a `read` [access token](https://huggingface.co/settings/tokens) and paste it when prompted.
|
| 76 |
+
|
| 77 |
+
### 3. Run training
|
| 78 |
+
|
| 79 |
+
**Local test run:**
|
| 80 |
+
```bash
|
| 81 |
+
python -m tribev2.grids.test_run
|
| 82 |
+
```
|
| 83 |
+
|
| 84 |
+
**Grid search on Slurm:**
|
| 85 |
+
```bash
|
| 86 |
+
python -m tribev2.grids.run_cortical
|
| 87 |
+
python -m tribev2.grids.run_subcortical
|
| 88 |
+
```
|
| 89 |
+
|
| 90 |
+
## Project structure
|
| 91 |
+
|
| 92 |
+
```
|
| 93 |
+
tribev2/
|
| 94 |
+
├── main.py # Experiment pipeline: Data, TribeExperiment
|
| 95 |
+
├── model.py # FmriEncoder: Transformer-based multimodal→fMRI model
|
| 96 |
+
├── pl_module.py # PyTorch Lightning training module
|
| 97 |
+
├── demo_utils.py # TribeModel and helpers for inference from text/audio/video
|
| 98 |
+
├── eventstransforms.py # Custom event transforms (word extraction, chunking, …)
|
| 99 |
+
├── utils.py # Multi-study loading, splitting, subject weighting
|
| 100 |
+
├── utils_fmri.py # Surface projection (MNI / fsaverage) and ROI analysis
|
| 101 |
+
├── grids/
|
| 102 |
+
│ ├── defaults.py # Full default experiment configuration
|
| 103 |
+
│ └── test_run.py # Quick local test entry point
|
| 104 |
+
├── plotting/ # Brain visualization (PyVista & Nilearn backends)
|
| 105 |
+
└── studies/ # Dataset definitions (Algonauts2025, Lahner2024, …)
|
| 106 |
+
```
|
| 107 |
+
|
| 108 |
+
## Contributing to open science
|
| 109 |
+
|
| 110 |
+
If you use this software, please share your results with the broader research community using the following citation:
|
| 111 |
+
|
| 112 |
+
```bibtex
|
| 113 |
+
@article{dAscoli2026TribeV2,
|
| 114 |
+
title={A foundation model of vision, audition, and language for in-silico neuroscience},
|
| 115 |
+
author={d'Ascoli, St{\'e}phane and Rapin, J{\'e}r{\'e}my and Benchetrit, Yohann and Brookes, Teon and Begany, Katelyn and Raugel, Jos{\'e}phine and Banville, Hubert and King, Jean-R{\'e}mi},
|
| 116 |
+
year={2026}
|
| 117 |
+
}
|
| 118 |
+
```
|
| 119 |
+
|
| 120 |
+
## License
|
| 121 |
+
|
| 122 |
+
This project is licensed under CC-BY-NC-4.0. See [LICENSE](LICENSE) for details.
|
| 123 |
+
|
| 124 |
+
## Contributing
|
| 125 |
+
|
| 126 |
+
See [CONTRIBUTING.md](CONTRIBUTING.md) for how to get involved.
|
best.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c79ffff6b642b7b0c71d558c935fb3fa33f2788bfb509feead94fafbba2f321
|
| 3 |
+
size 708856138
|
config.yaml
ADDED
|
@@ -0,0 +1,619 @@
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|
|
|
|
| 1 |
+
infra:
|
| 2 |
+
folder: /checkpoint/sdascoli/results/tribe_release/half_depth/brain_model_config.subject_layers.subject_dropout=0.10,data.study.names=(Algonauts2025Bold,Lahner2024Bold,Lebel2023Bold,Wen2017)-ecdd89b2
|
| 3 |
+
cluster: auto
|
| 4 |
+
logs: '{folder}/logs/{user}/%j'
|
| 5 |
+
job_name: brain_model_config.subject_layers.subject_dropout=0.10,data.study.names=(Algonauts2025Bold,Lahner2024Bold,Lebel2023Bold,Wen2017)-ecdd89b2
|
| 6 |
+
timeout_min: 4320
|
| 7 |
+
nodes: 1
|
| 8 |
+
tasks_per_node: 1
|
| 9 |
+
cpus_per_task: 20
|
| 10 |
+
gpus_per_node: 1
|
| 11 |
+
mem_gb: 128.0
|
| 12 |
+
max_pickle_size_gb: null
|
| 13 |
+
slurm_constraint: volta32gb
|
| 14 |
+
slurm_partition: learnfair
|
| 15 |
+
slurm_account: null
|
| 16 |
+
slurm_qos: null
|
| 17 |
+
slurm_use_srun: false
|
| 18 |
+
slurm_additional_parameters: null
|
| 19 |
+
conda_env: null
|
| 20 |
+
workdir:
|
| 21 |
+
copied:
|
| 22 |
+
- neuralset
|
| 23 |
+
- neuraltrain
|
| 24 |
+
- neuralhub
|
| 25 |
+
- tribe
|
| 26 |
+
folder: null
|
| 27 |
+
log_commit: false
|
| 28 |
+
includes:
|
| 29 |
+
- '*.py'
|
| 30 |
+
- '*.txt'
|
| 31 |
+
excludes: !!python/tuple
|
| 32 |
+
- __pycache__
|
| 33 |
+
- .git
|
| 34 |
+
permissions: 511
|
| 35 |
+
version: '1'
|
| 36 |
+
mode: retry
|
| 37 |
+
keep_in_ram: false
|
| 38 |
+
data:
|
| 39 |
+
study:
|
| 40 |
+
infra: null
|
| 41 |
+
names:
|
| 42 |
+
- Algonauts2025Bold
|
| 43 |
+
- Lahner2024Bold
|
| 44 |
+
- Lebel2023Bold
|
| 45 |
+
- Wen2017
|
| 46 |
+
path: /large_experiments/brainai/shared/studies
|
| 47 |
+
transforms:
|
| 48 |
+
extractaudio:
|
| 49 |
+
infra: null
|
| 50 |
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overwrite: false
|
| 51 |
+
name: ExtractAudioFromVideo
|
| 52 |
+
extractwords:
|
| 53 |
+
infra: null
|
| 54 |
+
language: english
|
| 55 |
+
overwrite: false
|
| 56 |
+
name: ExtractWordsFromAudio
|
| 57 |
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addtext:
|
| 58 |
+
infra: null
|
| 59 |
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name: AddText
|
| 60 |
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addsentence:
|
| 61 |
+
infra: null
|
| 62 |
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max_unmatched_ratio: 0.05
|
| 63 |
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override_sentences: false
|
| 64 |
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name: AddSentenceToWords
|
| 65 |
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addcontext:
|
| 66 |
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infra: null
|
| 67 |
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sentence_only: false
|
| 68 |
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max_context_len: 1024
|
| 69 |
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split_field: ''
|
| 70 |
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name: AddContextToWords
|
| 71 |
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removemissing:
|
| 72 |
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infra: null
|
| 73 |
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event_types: Word
|
| 74 |
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field: context
|
| 75 |
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name: RemoveMissing
|
| 76 |
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chunksounds:
|
| 77 |
+
infra: null
|
| 78 |
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event_type_to_chunk: Audio
|
| 79 |
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event_type_to_use: null
|
| 80 |
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min_duration: 30.0
|
| 81 |
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max_duration: 60.0
|
| 82 |
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name: ChunkEvents
|
| 83 |
+
chunkvideos:
|
| 84 |
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infra:
|
| 85 |
+
folder: !!python/object/apply:pathlib.PosixPath
|
| 86 |
+
- /
|
| 87 |
+
- checkpoint
|
| 88 |
+
- sdascoli
|
| 89 |
+
- cache
|
| 90 |
+
- tribe_release
|
| 91 |
+
cache_type: ValidatedParquet
|
| 92 |
+
mode: cached
|
| 93 |
+
keep_in_ram: false
|
| 94 |
+
backend: Cached
|
| 95 |
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event_type_to_chunk: Video
|
| 96 |
+
event_type_to_use: null
|
| 97 |
+
min_duration: 30.0
|
| 98 |
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max_duration: 60.0
|
| 99 |
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name: ChunkEvents
|
| 100 |
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query:
|
| 101 |
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infra: null
|
| 102 |
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query: null
|
| 103 |
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name: QueryEvents
|
| 104 |
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split:
|
| 105 |
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infra: null
|
| 106 |
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val_ratio: 0.1
|
| 107 |
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name: SplitEvents
|
| 108 |
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query: null
|
| 109 |
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studies_to_include: null
|
| 110 |
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infra_timelines:
|
| 111 |
+
folder: /checkpoint/sdascoli/cache/tribe_release
|
| 112 |
+
cluster: processpool
|
| 113 |
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logs: '{folder}/logs/{user}/%j'
|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 126 |
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| 128 |
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| 129 |
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|
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|
| 134 |
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|
| 135 |
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|
| 136 |
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mode: cached
|
| 137 |
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name: MultiStudyLoader
|
| 138 |
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neuro:
|
| 139 |
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event_types: Fmri
|
| 140 |
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aggregation: single
|
| 141 |
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allow_missing: true
|
| 142 |
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frequency: 1.0
|
| 143 |
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offset: 5.0
|
| 144 |
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projection:
|
| 145 |
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mesh: fsaverage5
|
| 146 |
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radius: 3.0
|
| 147 |
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interpolation: linear
|
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kind: ball
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| 149 |
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| 150 |
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|
| 151 |
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depth: null
|
| 152 |
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center_depth: 0.5
|
| 153 |
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extract_fsaverage_from_mni: true
|
| 154 |
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name: TribeSurfaceProjector
|
| 155 |
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cleaning:
|
| 156 |
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standardize: zscore_sample
|
| 157 |
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detrend: true
|
| 158 |
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high_pass: null
|
| 159 |
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low_pass: null
|
| 160 |
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|
| 161 |
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ensure_finite: true
|
| 162 |
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padding: null
|
| 163 |
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|
| 164 |
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| 165 |
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|
| 166 |
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folder: /checkpoint/sdascoli/cache/tribe_release
|
| 167 |
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cluster: slurm
|
| 168 |
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| 169 |
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|
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| 189 |
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|
| 190 |
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|
| 191 |
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mode: cached
|
| 192 |
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name: FmriExtractor
|
| 193 |
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text_feature:
|
| 194 |
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model_name: meta-llama/Llama-3.2-3B
|
| 195 |
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device: cuda
|
| 196 |
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layers:
|
| 197 |
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- 0.5
|
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|
| 199 |
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|
| 201 |
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cache_n_layers: 20
|
| 202 |
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layer_aggregation: group_mean
|
| 203 |
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token_aggregation: mean
|
| 204 |
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event_types: Word
|
| 205 |
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aggregation: sum
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| 206 |
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allow_missing: true
|
| 207 |
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frequency: 2.0
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infra:
|
| 209 |
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folder: /checkpoint/sdascoli/cache/tribe_release
|
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|
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|
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|
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|
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|
| 236 |
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contextualized: true
|
| 237 |
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pretrained: true
|
| 238 |
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name: HuggingFaceText
|
| 239 |
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image_feature:
|
| 240 |
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event_types: Video
|
| 241 |
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aggregation: sum
|
| 242 |
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allow_missing: true
|
| 243 |
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frequency: 2.0
|
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image:
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model_name: facebook/dinov2-large
|
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device: cuda
|
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layer_aggregation: mean
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token_aggregation: mean
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|
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| 260 |
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| 262 |
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name: HuggingFaceImage
|
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|
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folder: /checkpoint/sdascoli/cache/tribe_release
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name: HuggingFaceVideo
|
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audio_feature:
|
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model_name: facebook/w2v-bert-2.0
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device: cuda
|
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normalized: true
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name: Wav2VecBert
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video_feature:
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event_types: Video
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| 368 |
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aggregation: sum
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| 369 |
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allow_missing: true
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| 370 |
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frequency: 2.0
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image:
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model_name: facebook/vjepa2-vitg-fpc64-256
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device: cuda
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|
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predefined_mapping:
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Algonauts2025Bold/sub-02: 1
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Lahner2024Bold/10: 5
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Lahner2024Bold/2: 6
|
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Lahner2024Bold/3: 7
|
| 467 |
+
Lahner2024Bold/4: 8
|
| 468 |
+
Lahner2024Bold/5: 9
|
| 469 |
+
Lahner2024Bold/6: 10
|
| 470 |
+
Lahner2024Bold/7: 11
|
| 471 |
+
Lahner2024Bold/8: 12
|
| 472 |
+
Lahner2024Bold/9: 13
|
| 473 |
+
Lebel2023Bold/UTS01: 14
|
| 474 |
+
Lebel2023Bold/UTS02: 15
|
| 475 |
+
Lebel2023Bold/UTS03: 16
|
| 476 |
+
Lebel2023Bold/UTS04: 17
|
| 477 |
+
Lebel2023Bold/UTS05: 18
|
| 478 |
+
Lebel2023Bold/UTS06: 19
|
| 479 |
+
Lebel2023Bold/UTS07: 20
|
| 480 |
+
Lebel2023Bold/UTS08: 21
|
| 481 |
+
Wen2017/subject1: 22
|
| 482 |
+
Wen2017/subject2: 23
|
| 483 |
+
Wen2017/subject3: 24
|
| 484 |
+
name: LabelEncoder
|
| 485 |
+
frequency: 2.0
|
| 486 |
+
features_to_use:
|
| 487 |
+
- text
|
| 488 |
+
- audio
|
| 489 |
+
- video
|
| 490 |
+
features_to_mask: []
|
| 491 |
+
n_layers_to_use: null
|
| 492 |
+
layers_to_use:
|
| 493 |
+
- 0.5
|
| 494 |
+
- 0.75
|
| 495 |
+
- 1.0
|
| 496 |
+
layer_aggregation: group_mean
|
| 497 |
+
duration_trs: 100
|
| 498 |
+
overlap_trs_train: 0
|
| 499 |
+
overlap_trs_val: 0
|
| 500 |
+
batch_size: 8
|
| 501 |
+
num_workers: 20
|
| 502 |
+
shuffle_train: true
|
| 503 |
+
shuffle_val: true
|
| 504 |
+
stride_drop_incomplete: false
|
| 505 |
+
split_segments_by_time: false
|
| 506 |
+
seed: 33
|
| 507 |
+
brain_model_config:
|
| 508 |
+
projector:
|
| 509 |
+
input_size: null
|
| 510 |
+
hidden_sizes: null
|
| 511 |
+
norm_layer: layer
|
| 512 |
+
activation_layer: gelu
|
| 513 |
+
bias: true
|
| 514 |
+
dropout: 0.0
|
| 515 |
+
name: Mlp
|
| 516 |
+
combiner: null
|
| 517 |
+
encoder:
|
| 518 |
+
heads: 8
|
| 519 |
+
depth: 8
|
| 520 |
+
cross_attend: false
|
| 521 |
+
causal: false
|
| 522 |
+
attn_flash: false
|
| 523 |
+
attn_dropout: 0.0
|
| 524 |
+
ff_mult: 4
|
| 525 |
+
ff_dropout: 0.0
|
| 526 |
+
use_scalenorm: true
|
| 527 |
+
use_rmsnorm: false
|
| 528 |
+
rel_pos_bias: false
|
| 529 |
+
alibi_pos_bias: false
|
| 530 |
+
rotary_pos_emb: true
|
| 531 |
+
rotary_xpos: false
|
| 532 |
+
residual_attn: false
|
| 533 |
+
scale_residual: true
|
| 534 |
+
layer_dropout: 0.0
|
| 535 |
+
name: TransformerEncoder
|
| 536 |
+
time_pos_embedding: true
|
| 537 |
+
subject_embedding: false
|
| 538 |
+
subject_layers:
|
| 539 |
+
n_subjects: 25
|
| 540 |
+
bias: true
|
| 541 |
+
init_id: false
|
| 542 |
+
average_subjects: false
|
| 543 |
+
mode: gather
|
| 544 |
+
subject_dropout: 0.1
|
| 545 |
+
name: SubjectLayers
|
| 546 |
+
hidden: 1152
|
| 547 |
+
max_seq_len: 1024
|
| 548 |
+
dropout: 0.0
|
| 549 |
+
extractor_aggregation: cat
|
| 550 |
+
layer_aggregation: cat
|
| 551 |
+
linear_baseline: false
|
| 552 |
+
modality_dropout: 0.3
|
| 553 |
+
temporal_dropout: 0.0
|
| 554 |
+
low_rank_head: 2048
|
| 555 |
+
temporal_smoothing: null
|
| 556 |
+
name: FmriEncoder
|
| 557 |
+
loss:
|
| 558 |
+
kwargs:
|
| 559 |
+
reduction: none
|
| 560 |
+
name: MSELoss
|
| 561 |
+
optim:
|
| 562 |
+
optimizer:
|
| 563 |
+
lr: 0.0001
|
| 564 |
+
kwargs:
|
| 565 |
+
weight_decay: 0.0
|
| 566 |
+
name: Adam
|
| 567 |
+
scheduler:
|
| 568 |
+
kwargs:
|
| 569 |
+
max_lr: 0.0001
|
| 570 |
+
pct_start: 0.1
|
| 571 |
+
name: OneCycleLR
|
| 572 |
+
interval: step
|
| 573 |
+
name: LightningOptimizer
|
| 574 |
+
metrics:
|
| 575 |
+
- log_name: pearson
|
| 576 |
+
dim: 0
|
| 577 |
+
reduction: mean
|
| 578 |
+
torchmetrics_kwargs: null
|
| 579 |
+
name: OnlinePearsonCorr
|
| 580 |
+
- log_name: subj_pearson
|
| 581 |
+
metric_name: OnlinePearsonCorr
|
| 582 |
+
kwargs:
|
| 583 |
+
dim: 0
|
| 584 |
+
name: GroupedMetric
|
| 585 |
+
- log_name: retrieval_top1
|
| 586 |
+
topk: 1
|
| 587 |
+
name: TopkAcc
|
| 588 |
+
monitor: val/pearson
|
| 589 |
+
wandb_config:
|
| 590 |
+
name: brain_model_config.subject_layers.subject_dropout=0.10,data.study.names=(Algonauts2025Bold,Lahner2024Bold,Lebel2023Bold,Wen2017)-ecdd89b2
|
| 591 |
+
group: half_depth
|
| 592 |
+
entity: sdascoli
|
| 593 |
+
project: tribe_release
|
| 594 |
+
offline: false
|
| 595 |
+
host: https://fairwandb.org
|
| 596 |
+
id: null
|
| 597 |
+
dir: null
|
| 598 |
+
anonymous: null
|
| 599 |
+
log_model: false
|
| 600 |
+
experiment: null
|
| 601 |
+
prefix: ''
|
| 602 |
+
resume: allow
|
| 603 |
+
accelerator: gpu
|
| 604 |
+
n_epochs: 15
|
| 605 |
+
max_steps: -1
|
| 606 |
+
patience: null
|
| 607 |
+
limit_train_batches: null
|
| 608 |
+
accumulate_grad_batches: 1
|
| 609 |
+
enable_progress_bar: true
|
| 610 |
+
log_every_n_steps: 5
|
| 611 |
+
fast_dev_run: false
|
| 612 |
+
save_checkpoints: true
|
| 613 |
+
checkpoint_filename: best
|
| 614 |
+
resize_subject_layer: false
|
| 615 |
+
freeze_backbone: false
|
| 616 |
+
average_subjects: false
|
| 617 |
+
checkpoint_path: null
|
| 618 |
+
load_checkpoint: true
|
| 619 |
+
test_only: false
|