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soda_chat_20260306102706_acb1
55.77M parameter nanochat model — bpe-chat-4k tokenizer, 16L/512D/8H
Overview
55.77M
Parameters
-
Final Loss
-
Best Val Loss
—
Perplexity
0
Tokens Processed
0.0
Tokens/Param
0 tok/s
Avg Throughput
0s
Training Time
Training Progress0 / 20,000 steps (0.0%)
Dataset & Training
Domainnanochat
Tokenizerbpe-chat-4k
Total Iterations20,000
Batch Size4
Context Length512 tokens
Tokens per Batch2,048
Dataset Passes~0
Effective Tokens0
Training Metrics
No metrics recorded yet.
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 Size4
Grad Accum Steps4
Effective Batch16
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
No samples generated yet. Samples appear at configured intervals during training.
Checkpoints
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