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soda_chat_20260306103720_w4xe
55.77M parameter nanochat model — bpe-chat-4k tokenizer, 16L/512D/8H
Overview
55.77M
Parameters
7.0658
Final Loss
-
Best Val Loss
1171.2
Perplexity
355,328
Tokens Processed
0.0
Tokens/Param
1,781 tok/s
Avg Throughput
6m 6s
Training Time
Training Progress347 / 20,000 steps (1.7%)
Loss reduced by 15.9% from initial 8.4055
Dataset & Training
Domainnanochat
Tokenizerbpe-chat-4k
Total Iterations20,000
Batch Size2
Context Length512 tokens
Tokens per Batch1,024
Dataset Passes~1
Effective Tokens355,328
Training Pipeline
Warmupsteps 1–1
Learning rate warmup — model weights adjusting to data distribution
Loss: 8.406 → 8.406Linear LR warmup, gradient clipping
Training Metrics
Loss Curve
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Smoothed Loss
Perplexity
Learning Rate
Gradient Norm
Throughput (tok/s)
Timing Breakdown
No Telemetry
Model Architecture
Model Configuration
ArchitectureGPT (decoder-only transformer)
Parameters55.77M
Layers16
Embedding Dim512
Attention Heads8
Head Dim64
FFN Dim2048
FFN Activationswiglu
Vocab Size4,000
Context Length512 tokens
Dropout0
Training Configuration
Optimizeradamw
Learning Rate0.0003
LR Min0.00003
LR ScheduleCosine decay
Warmup Steps500
Batch Size2
Grad Accum Steps4
Effective Batch8
Grad Clip1
Weight Decay0.1
Backendhelios
Tokenizerbpe-chat-4k
Seed42
Layer Structure
Token Embed
4,000×512
Pos Embed
512×512
Block 0
Attn+FFN
Block 1
Attn+FFN
Block 2
Attn+FFN
Block 3
Attn+FFN
Block 4
Attn+FFN
Block 5
Attn+FFN
LayerNorm
512
LM Head
512×4,000
Generated Samples
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Checkpoints
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