wop/Cosmos-SFT / finetune /model_config.json
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{
"model_family": "Cosmos-T3",
"model_name": "Cosmos-T3-Instruct",
"model_class_name": "CosmosT2_Accelerate_LLM",
"hf_repo_id": "wop/Cosmos-SFT",
"tokenizer_name": "Qwen/Qwen2.5-0.5B",
"dataset_name": "wop/smallestdata-sft",
"dataset_split": "train",
"dataset_row_limit": 19,
"rows_used": 19,
"stream_dataset": true,
"shuffle_buffer_size": 10000,
"train_val_fraction": 0.02,
"seed": 42,
"block_size": 1024,
"max_len": 1024,
"d_model": 768,
"n_layers": 12,
"n_heads": 12,
"n_kv_heads": 4,
"d_ff": 2048,
"rope_base": 10000,
"dropout": 0.0,
"use_engram": true,
"engram_every": 4,
"engram_buckets": 8192,
"engram_dim": 64,
"engram_order": 3,
"epochs": 6,
"batch_size": 4,
"lr": 0.0003,
"weight_decay": 0.1,
"warmup_steps": 10,
"grad_clip": 1.0,
"eval_every_steps": 2000,
"val_max_batches": 20,
"early_stopping_patience": 1000000,
"num_workers": 0,
"use_kv_cache": true,
"train_steps_per_epoch": 1,
"loss_tokens_seen": 1146,
"samples_seen": 96,
"config_hash": "f69d7063825b2fcf"
}

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