运行graphgpt_eval.sh时报错config.json missing #84
Description
报错内容：
Traceback (most recent call last):
File "./graphgpt/eval/run_graphgpt.py", line 244, in <module>
run_eval(args, args.num_gpus)
File "./graphgpt/eval/run_graphgpt.py", line 98, in run_eval
ans_jsons.extend(ray.get(ans_handle))
File "/root/miniconda3/envs/graphgpt/lib/python3.8/site-packages/ray/_private/auto_init_hook.py", line 24, in auto_init_wrapper
return fn(*args, **kwargs)
File "/root/miniconda3/envs/graphgpt/lib/python3.8/site-packages/ray/_private/client_mode_hook.py", line 103, in wrapper
return func(*args, **kwargs)
File "/root/miniconda3/envs/graphgpt/lib/python3.8/site-packages/ray/_private/worker.py", line 2493, in get
raise value.as_instanceof_cause()
ray.exceptions.RayTaskError(AssertionError): ray::eval_model() (pid=2040388, ip=172.16.10.18)
File "/root/miniconda3/envs/graphgpt/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "./graphgpt/eval/run_graphgpt.py", line 120, in eval_model
model = GraphLlamaForCausalLM.from_pretrained(args.model_name, torch_dtype=torch.float16, use_cache=True, low_cpu_mem_usage=True).cuda()
File "/root/miniconda3/envs/graphgpt/lib/python3.8/site-packages/transformers/modeling_utils.py", line 2700, in from_pretrained
model = cls(config, *model_args, **model_kwargs)
File "/root/GraphGPT/graphgpt/model/GraphLlama.py", line 283, in __init__
self.model = GraphLlamaModel(config)
File "/root/GraphGPT/graphgpt/model/GraphLlama.py", line 99, in __init__
clip_graph, args= load_model_pretrained(CLIP, config.pretrain_graph_model_path)
File "/root/GraphGPT/graphgpt/model/GraphLlama.py", line 54, in load_model_pretrained
assert osp.exists(osp.join(pretrain_model_path, 'config.json')), 'config.json missing'
AssertionError: config.json missing
graphgpt_eval.sh参数设置为：
output_model=/root/GraphGPT/output/stage_2/checkpoint-50000
datapath=/root/GraphGPT/graph_data/arxiv_test_instruct_cot.json
graph_data_path=/root/GraphGPT/graph_data/graph_data_all.pt
res_path=/root/GraphGPT/output/output_stage_2_arxiv_nc
是需要修改/root/GraphGPT/output/stage_2/checkpoint-50000/config.json文件的内容吗？
我修改了其内容为
{
"_name_or_path": "/root/vicuna-7b-v1.5-16k",
"architectures": [
"GraphLlamaForCausalLM"
],
"bos_token_id": 1,
"eos_token_id": 2,
"freeze_graph_mlp_adapter": false,
"graph_hidden_size": 128,
"graph_select_layer": -2,
"graph_tower": "clip_gt_arxiv",
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_position_embeddings": 4096,
"max_sequence_length": 16384,
"model_type": "GraphLlama",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"pad_token_id": 0,
"pretrain_graph_model_path": "/root/GraphGPT/pretrained_gnn/",
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": {
"factor": 4.0,
"type": "linear"
},
"sep_graph_conv_front": false,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.31.0",
"tune_graph_mlp_adapter": true,
"use_cache": false,
"use_graph_proj": true,
"use_graph_start_end": true,
"vocab_size": 32003
}
修改了GraphGPT/output/stage_2/checkpoint-50000/config.json中的"pretrain_graph_model_path"，还是报错config.json missing，是应该再修改哪里呢？