Closed AlphaDoraem closed 2 years ago
Hi,
It seems to be a problem with the Huggingface dataset package. I'm not sure what's going on there and it might be more helpful referring to their issue board/manuals.
Hi,
It seems to be a problem with the Huggingface dataset package. I'm not sure what's going on there and it might be more helpful referring to their issue board/manuals.
Thank you!
I want to train my own datasets(csv). So I run the code like this:
python train.py --model_name_or_path=models\unsup-simcse-bert-base-uncased --train_file=datasets\csv\train.csv --output_dir=result\my-unsup-simcse-bert-base-uncased --num_train_epochs=1 --per_device_train_batch_size=64 --learning_rate=3e-5 --max_seq_length=32 --evaluation_strategy=steps --metric_for_best_model=stsb_spearman --load_best_model_at_end --eval_steps=125 --pooler_type=cls --mlp_only_train --overwrite_output_dir --temp=0.05 --do_train --do_eval --fp16
but I got a error:
ConnectionError: Couldn‘t reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py
So I download the csv.py and put it in my datasets(datasets\csv\csv.py)
and run the code again. But I got no response but just one line of output:
"Using custom data configuration default".
What's the problem? How can I use the train.py? Please help me.