Training checkpoint 2000 - 0.0B tokens
Browse files- README.md +68 -0
- checkpoint_2000.pt +3 -0
- config.json +14 -0
README.md
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---
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language: en
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license: mit
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tags:
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- spiking-neural-networks
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- language-modeling
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- neuromorphic
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- energy-efficient
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- biological-ai
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datasets:
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- fineweb-5B
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pipeline_tag: text-generation
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---
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# 🧠 Spiking Neural Network Language Model - Training Checkpoint
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**Live training checkpoint from the world's first large-scale spiking language model!**
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## Current Training Status
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- **Training Step**: 2,000
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- **Tokens Processed**: 0.02B tokens
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- **Current Loss**: 9.8659
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- **Spike Rate**: 0.0115
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- **Learning Rate**: 1.02e-05
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## Model Architecture
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- **Parameters**: ~54M
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- **Architecture**: 12-layer Spiking LTC Network
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- **Hidden Size**: 768
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- **Sequence Length**: 1024
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- **Multi-timescale Processing**: Fast → Medium → Slow layers
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## Training Details
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- **Dataset**: PatrickHaller/fineweb-5B
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- **Target**: 3 epochs (~15B tokens total)
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- **Biological Dynamics**: Adaptive thresholds, refractory periods
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- **Energy Efficiency**: ~5% neuron activation vs 100% in Transformers
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## Scientific Significance
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This represents ongoing training of the first large-scale spiking neural network for language modeling, demonstrating:
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1. **Biological neural dynamics** can learn language at scale
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2. **Energy efficiency** through sparse neural firing
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3. **Multi-timescale processing** for hierarchical understanding
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## Usage
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```python
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# Download this checkpoint
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from huggingface_hub import hf_hub_download
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checkpoint = hf_hub_download(
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repo_id="rootxhacker/piking-llm-5b-3epochs-exp",
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filename="checkpoint_2000.pt"
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)
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# Load with custom spiking model code
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# (See full implementation for complete usage)
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```
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---
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**🔬 This is live research in progress! Check back for updates as training continues.**
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**Training Progress**: 0.1% complete towards 15B tokens
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checkpoint_2000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2525c357147a84397048617fc112cfaebe7389e44328d60cac9eb224f13894d
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size 999026318
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config.json
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{
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"model_type": "spiking_llm",
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"vocab_size": 50257,
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"hidden_size": 768,
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"num_layers": 12,
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"max_seq_length": 1024,
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"training_step": 2000,
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"tokens_processed": 20480000,
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"loss": 9.865856721571749,
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"spike_rate": 0.011451726761236444,
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"learning_rate": 1.019965406348427e-05,
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"epoch": 0.004096,
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"progress_percent": 0.13653368285956147
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}
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