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model_path
string
data_file
string
num_epochs
int64
max_seq_length
int64
per_device_batch_size
int64
gradient_accumulation_steps
int64
fsdp
string
fsdp_transformer_cls
string
world_size
int64
router_aux_loss_coef
float64
output_router_logits
bool
defaults
dict
/root/userdata/liangyan/routing_analysis/models/Marco-Nano-Base
/root/userdata/liangyan/routing_analysis/finetuning/data/splits/hau_Latn_500k.jsonl
1
8,192
1
8
full_shard auto_wrap
Qwen3MoeDecoderLayer
8
0.001
true
{ "learning_rate": 0.00001, "warmup_ratio": 0.05, "weight_decay": 0.1, "adam_beta1": 0.9, "adam_beta2": 0.95, "max_grad_norm": 1, "lr_scheduler_type": "cosine", "max_seq_length": 8192, "logging_steps": 1, "save_steps": 500, "save_total_limit": 2, "seed": 42 }

routing_analysis checkpoint archive

This public dataset repository stores checkpoint files from the routing_analysis filesystem snapshot while preserving their original paths under routing_analysis/.

The tree routing_analysis/finetuning/phase2_full/checkpoints/ is explicitly excluded. All other regular files classified under checkpoint directories are included, including small code and configuration files needed to keep those checkpoint directories complete.

Files are uploaded individually through Hugging Face Xet; they are not packed into tar archives. The known empty checkpoint root paper/pretraining_documentation_token_counts/checkpoints/ is represented by a .gitkeep placeholder. Local symlink semantics, permissions, ownership, and timestamps are not represented by the Hub repository.

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