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Deeplm — Auto-upload (step 200)

Model checkpoint otomatis dari training loop. Setiap 100 langkah, seluruh state dikirim ke HF.

Training Metrics

step: 200
loss: 2.6842
lr: 0.0000
grad_norm: 0.2827
phase:
state:
confidence: 0

Charts

Included Files (setiap upload)

File	Deskripsi
`model.safetensors`	BitNet ternary weights
`config.json`	Model configuration
`tokenizer.json`	BPETokenizer
`tokenizer_config.json`	Tokenizer config
`checkpoint-200/`	Full checkpoint (model.pt, optimizer.pt, training_state.json)
`charts/`	Training visualization PNGs
`metrics.jsonl`	Full training log (all steps)
`tuner_state.json`	AutoTuner internal state
`README.md`	This file

Penggunaan

import sys; sys.path.insert(0, 'deeplm')
from deeplm.config import DeeplmConfig
from deeplm.model.deeplm import DeeplmModel
from safetensors.torch import load_file

config = DeeplmConfig()
model = DeeplmModel(config)
state_dict = load_file('model.safetensors')
model.load_state_dict(state_dict, strict=False)

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