action1 / config.json
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{
"d_model": 512,
"n_heads": 8,
"n_kv_heads": 2,
"head_dim": 64,
"n_layers": 4,
"loop_count": 2,
"max_loops": 16,
"max_seq_len": 512,
"rope_theta": 10000.0,
"loop_theta": 100.0,
"mlp_ratio": 2.6666666666666665,
"sft_data_path": "/content/computer_sft.jsonl",
"sft_checkpoint": "computer_sft_final.pt",
"sft_batch_size": 8,
"sft_grad_accum": 4,
"sft_epochs": 8,
"sft_lr": 3e-05,
"weight_decay": 0.05,
"grad_clip": 1.0,
"rl_checkpoint": "computer_rl_final.pt",
"rl_epochs": 30,
"rl_lr": 2e-06,
"entropy_coef": 0.002,
"baseline_beta": 0.9,
"max_episode_steps": 8,
"policy_temperature": 0.7,
"step_penalty": -0.01,
"progress_reward": 0.3,
"success_reward": 2.0,
"wrong_action_penalty": -0.2,
"repeat_penalty": -0.15,
"premature_done_penalty": -0.5,
"terminal_wrong_penalty": -0.3,
"pretrained_checkpoint": "checkpoint.pt",
"seed": 42,
"architectures": [
"LoopTransformerLM"
],
"model_type": "loop_gqa_action",
"vocab_size": 72000,
"tokenizer_name": "j-llm/j72-tokenizer",
"auto_map": {
"AutoConfig": "configuration_loop_gqa_action.LoopGQAActionConfig",
"AutoModelForCausalLM": "modeling_loop_gqa_action.LoopGQAActionModel"
}
}