这是提交的脚本python /data/public/qim/script/eval-scope/llmuses/run.py --model /data/public/...
"代码里面eval-config参数不是必须的吧,但是提交脚本会报错,再就是ModelScope实例代码里面编写的eval-config是不是和前面的参数重复了? 这是提交的脚本python /data/public/qim/script/eval-scope/llmuses/run.py --model /data/public/qim/model/Qwen-7B-Chat --template-type qwen --datasets mmlu --datase...
add_argument('--dataset_config', type=str, default=None, help='the config file path, using the default path without explicit ') parser.add_argument('--dataset_duplication', type=int, default=1, help='duplicate the sample for evaluating the stability') parser.add_argument('--in_context_...
-e, --evaluation_dataset=EVALUATION_DATASET Type: Union Default: <func... Path to the evaluation dataset or a function that returns a dataframe. If None, we use the default evaluation -a, --annotators_config=ANNOTATORS_CONFIG Type: Union Default: 'alpaca_eval_gpt4_turbo_fn' Path to ...
training_deepspeed.train \ --model_type MODEL_TYPE \ --model_path BASE_MODEL_PATH \ --save_path TARGET_FOLDER \ --length_grouping \ --epochs 5 \ --data_path DATASET_PATH \ --deepspeed \ --deepspeed_config ochat/training_deepspeed/deepspeed_config.json 评估 要...
# 需要导入模块: from pycocotools.cocoeval import COCOeval [as 别名]# 或者: from pycocotools.cocoeval.COCOeval importevaluate[as 别名]def_do_keypoint_eval(json_dataset, res_file, output_dir):ann_type ='keypoints'imgIds = json_dataset.COCO.getImgIds() ...
model_dir, "config.json"), "w") as f: json.dump(cfg, f) if not cfg.dataset.num_repeats and not cfg.steps_per_epoch: raise ValueError("Must have a fixed num repeats or epoch step size.") # Construct inputs and estimator train_input, eval_input = data.build_dataset( cfg.dataset...
def getScoreOfExample(rule, dataSetExample): # print "dataSetExample:", dataSetExample # create variables that are the features of the example for feature in featuresInDataSet: if dataSetExample[feature] == SAME or dataSetExample[feature] == DIFFERENT: vars()[feature] = dataSetExample[feature]...
对于HuggingFace 相关模型,用户也可以通过 HuggingFace 参数快速在命令行中定义一个模型,再通过 --datasets DATASET1 DATASET2 ... 定义数据集。 代码语言:javascript 复制 python run.py --datasets siqa_gen winograd_ppl \ --hf-path huggyllama/llama-7b \ HuggingFace 模型地址 --model-kwargs device_map='...
deepspeed --num_gpus=$NUM_GPUS --module ochat.training_deepspeed.train \--model_type MODEL_TYPE \--model_path BASE_MODEL_PATH \--save_path TARGET_FOLDER \--length_grouping \--epochs 5 \--data_path DATASET_PATH \--deepspeed \--deepspeed_config ochat/training_deepspeed/deepspeed_config....