trafficstars
question_answering_ort.ipynb
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮
│ in :2 │
│ │
│ 1 model_name = model_checkpoint.split("/")[-1] │
│ ❱ 2 args = ORTTrainingArguments( │
│ 3 │ output_dir=f"{model_name}-finetuned-squad", │
│ 4 │ evaluation_strategy = "epoch", │
│ 5 │ learning_rate=2e-5, │
│ in init:111 │
│ │
│ /home/Startupcolors/doze/wound/notebooks/.venv/lib/python3.8/site-packages/optimum/onnxruntime/t │
│ raining_args.py:306 in post_init │
│ │
│ 303 │ │ │ │
│ 304 │ │ │ # will be used later by the Trainer │
│ 305 │ │ │ # note: leave self.deepspeed unmodified in case a user relies on it not to b │
│ ❱ 306 │ │ │ self.hf_deepspeed_config = HfTrainerDeepSpeedConfig(self.deepspeed) │
│ 307 │ │ │ self.hf_deepspeed_config.trainer_config_process(self) │
│ 308 │ │ │
│ 309 │ │ if self.push_to_hub_token is not None: │
│ │
│ /home/Startupcolors/doze/wound/notebooks/.venv/lib/python3.8/site-packages/transformers/deepspee │
│ d.py:77 in init │
│ │
│ 74 │ """ │
│ 75 │ │
│ 76 │ def init(self, config_file_or_dict): │
│ ❱ 77 │ │ super().init(config_file_or_dict) │
│ 78 │ │ self._dtype = None │
│ 79 │ │ self.mismatches = [] │
│ 80 │
│ │
│ /home/Startupcolors/doze/wound/notebooks/.venv/lib/python3.8/site-packages/transformers/deepspee │
│ d.py:67 in init │
│ │
│ 64 │ │ set_hf_deepspeed_config(self) │
│ 65 │ │ dep_version_check("accelerate") │
│ 66 │ │ dep_version_check("deepspeed") │
│ ❱ 67 │ │ super().init(config_file_or_dict) │
│ 68 │
│ 69 │
│ 70 class HfTrainerDeepSpeedConfig(HfDeepSpeedConfig): │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
TypeError: object.init() takes exactly one argument (the instance to initialize)