RecGPT-10M / train_config.json
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{
"dataset": "s33c67-10m.parquet",
"tokenizer": "s33c67-10m-bpe",
"run_name": "recgpt-10m-submission",
"seed": 0,
"data_seed": 0,
"microbatch_tok": 32768,
"total_batch_tok": 32768,
"sequence_len": 256,
"epochs": 10,
"checkpoint_track": "strict-small",
"max_tokens": -1,
"lr_embed": 0.005,
"lr_block": 0.02,
"min_lr": 0.0,
"wd_adam": 0.005,
"wd_muon": 0.1,
"adam_beta1": 0.9,
"adam_beta2": 0.997,
"muon_momentum": 0.95,
"warmup_ratio": 0.0,
"cooldown_ratio": 0.2,
"max_grad_norm": 2.0,
"nl_mult": 0.01,
"nl_depth": 2,
"nl_hidden": -1,
"nl_intermediate": 5120,
"nl_lr": 0.004,
"nl_wd": 0.01,
"nl_momentum": 0.95,
"torch_compile": true,
"use_wandb": true,
"wandb_project": "bblm26-recgpt",
"log_every": 10,
"model_config": {
"transformers_version": "5.9.0",
"architectures": [
"RecGPTForCausalLM"
],
"output_hidden_states": false,
"return_dict": true,
"dtype": "float32",
"chunk_size_feed_forward": 0,
"is_encoder_decoder": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"problem_type": null,
"_name_or_path": "",
"pad_token_id": 0,
"tie_word_embeddings": false,
"vocab_size": 32768,
"hidden_size": 768,
"embedding_size": 192,
"head_dim": 64,
"num_heads": 12,
"intermediate_size": 12288,
"recursive_depth": 16,
"max_position_embeddings": 1024,
"is_decoder": true,
"use_cache": false,
"auto_map": {
"AutoConfig": "modeling_recgpt.RecGPTConfig",
"AutoModelForCausalLM": "modeling_recgpt.RecGPTForCausalLM"
},
"model_type": "recgpt",
"output_attentions": false
}
}