ValueError: the following model_kwargs are not used by model
#2
by
daryl149
- opened
I am running the code with the transformers repo that was recommended in the llama model repos:
git clone https://github.com/huggingface/transformers.git
cd transformers
git checkout d04ec99bec8a0b432fc03ed60cea9a1a20ebaf3c
pip install .
However, I get an error when trying to run:
from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
tokenizer = AutoTokenizer.from_pretrained("falcon-40b-sft-mix-1226", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("falcon-40b-sft-mix-1226", device_map="sequential", offload_folder="offload", load_in_8bit=True, trust_remote_code=True)
streamer = TextStreamer(tokenizer, skip_prompt=True)
message = "<|prompter|>This is a demo of a text streamer. What's a cool fact about ducks?<|endoftext|><|assistant|>"
inputs = tokenizer(message, return_tensors="pt").to(model.device)
tokens = model.generate(**inputs, max_new_tokens=25, do_sample=True, temperature=0.9, streamer=streamer)
returns this error:
dev_1/lib/python3.10/site-packages/transformers/generation/utils.py:1250: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)
warnings.warn(
╭──────────────────────── Traceback (most recent call last) ────────────────────────╮
│ <stdin>:1 in <module> │
│ │
│ dev_1/lib/python3.10/site-p │
│ ackages/torch/utils/_contextlib.py:115 in decorate_context │
│ │
│ 112 │ @functools.wraps(func) │
│ 113 │ def decorate_context(*args, **kwargs): │
│ 114 │ │ with ctx_factory(): │
│ ❱ 115 │ │ │ return func(*args, **kwargs) │
│ 116 │ │
│ 117 │ return decorate_context │
│ 118 │
│ │
│dev_1/lib/python3.10/site-p │
│ ackages/transformers/generation/utils.py:1262 in generate │
│ │
│ 1259 │ │ generation_config = copy.deepcopy(generation_config) │
│ 1260 │ │ model_kwargs = generation_config.update(**kwargs) # All unused kw │
│ 1261 │ │ generation_config.validate() │
│ ❱ 1262 │ │ self._validate_model_kwargs(model_kwargs.copy()) │
│ 1263 │ │ │
│ 1264 │ │ # 2. Set generation parameters if not already defined │
│ 1265 │ │ logits_processor = logits_processor if logits_processor is not Non │
│ │
│ dev_1/lib/python3.10/site-p │
│ ackages/transformers/generation/utils.py:1135 in _validate_model_kwargs │
│ │
│ 1132 │ │ │ │ unused_model_args.append(key) │
│ 1133 │ │ │
│ 1134 │ │ if unused_model_args: │
│ ❱ 1135 │ │ │ raise ValueError( │
│ 1136 │ │ │ │ f"The following `model_kwargs` are not used by the model: │
│ 1137 │ │ │ │ " generate arguments will also show up in this list)" │
│ 1138 │ │ │ ) │
╰───────────────────────────────────────────────────────────────────────────────────╯
ValueError: The following `model_kwargs` are not used by the model:
['token_type_ids'] (note: typos in the generate arguments will also show up in this
list)
Lol, ok the quick fix:
open transformers/generation/utils.py and comment out the if statement on line 1134-1138, like so:
# if unused_model_args:
# raise ValueError(
# f"The following `model_kwargs` are not used by the model: {unused_model_args} (note: typos in the"
# " generate arguments will also show up in this list)"
# )
If it looks stupid, but it works...
New output (as expected for 25 max_new_tokens):
dev_1/lib/python3.10/site-packages/transformers/generation/utils.py:1250: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)
warnings.warn(
Setting `pad_token_id` to `eos_token_id`:11 for open-end generation.
Ducks have a waterproof coating on their feathers, which allows them to swim and preen themselves in water.
Their web
update: huggingface indicated they will not fix this in the transformers repo, so this is now a mandatory step.
simpler solution, replace **inputs with input_ids=inputs['input_ids'], attention_mask=inputs['attention_mask']
the extra arg is returned by the tokenizer.
simpler solution, replace
**inputswithinput_ids=inputs['input_ids'], attention_mask=inputs['attention_mask']
the extra arg is returned by the tokenizer.
yooo, that's way easier, thanks :D
daryl149
changed discussion status to
closed