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historic_chat_v2_20260309171906_xtgk
34.16M parameter concordance-chat model — bpe-8k-chat tokenizer, 8L/512D/8H
Overview
34.16M
Parameters
-
Final Loss
-
Best Val Loss
—
Perplexity
0
Tokens Processed
0.0
Tokens/Param
0 tok/s
Avg Throughput
0s
Training Time
Training Progress0 / 3,000 steps (0.0%)
Dataset & Training
Domainconcordance-chat
Tokenizerbpe-8k-chat
Total Iterations3,000
Batch Size16
Context Length512 tokens
Tokens per Batch8,192
Dataset Passes~0
Effective Tokens0
Training Metrics
No metrics recorded yet.
Model Architecture
Model Configuration
ArchitectureGPT (decoder-only transformer)
Parameters34.16M
Layers8
Embedding Dim512
Attention Heads8
Head Dim64
FFN Dim2048
FFN Activationswiglu
Vocab Size8,000
Context Length512 tokens
Dropout0
Training Configuration
Optimizeradamw
Learning Rate0.00005
LR Min0.000005
LR ScheduleCosine decay
Warmup Steps50
Batch Size16
Grad Accum Steps2
Effective Batch32
Grad Clip1
Weight Decay0.01
Backendhelios
Tokenizerbpe-8k-chat
Seed42
Layer Structure
Token Embed
8,000×512
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
512×8,000
Generated Samples
No samples generated yet. Samples appear at configured intervals during training.
Checkpoints
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