Comments (5)
I originally faced the same error msg with @euclaise , and after the proposed change is applied, I instead face this error message.
The work-around I made to this problem is to change the line from
tokenized_dataset = datasets.load_dataset(cfg_data.hf_location, "train", streaming=cfg_data.streaming, cache_dir=data_path)["train"]
to
tokenized_dataset = datasets.load_dataset(cfg_data.hf_location, "default", streaming=cfg_data.streaming, cache_dir=data_path)["train"]
And it solves the problem, however I'm not familiar with the datasets package so I'm not sure if it is the right fix.
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This fix is now included in commit 2875a3b thanks!
from cramming.
Is this still an issue?
from cramming.
Problem might be related to differences in versions of the datasets
package. The fix from the PR is only necessary for newer releases, and a problem for older ones.
from cramming.
I originally faced the same error msg with @euclaise , and after the proposed change is applied, I instead face this error message.
The work-around I made to this problem is to change the line from
tokenized_dataset = datasets.load_dataset(cfg_data.hf_location, "train", streaming=cfg_data.streaming, cache_dir=data_path)["train"]
to
tokenized_dataset = datasets.load_dataset(cfg_data.hf_location, "default", streaming=cfg_data.streaming, cache_dir=data_path)["train"]
And it solves the problem, however I'm not familiar with the datasets package so I'm not sure if it is the right fix.
This worked for me! For anyone interested, I am running Python 3.10, datasets 2.18.0, Ubuntu 22.0.
from cramming.
Related Issues (20)
- RuntimeError: CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling `cublasCreate(handle)` while running evaluation HOT 10
- Pretraining on a single RTX 3060 HOT 2
- Errors with both the verify installation command as well as the final recipe HOT 2
- GLUE evaluation numbers are very poor, if increase the sequence length to 512 and float 32 HOT 5
- Evaluation failed on MNLI and STSB Datasets for Last1.13release HOT 3
- I run the test command,got this error,how to fix it?looks like no dataset HOT 12
- Tutorial for pretrain RoBERTa with custom data HOT 2
- Issue with torch.compile / dynamo HOT 5
- Question about sparse token prediction HOT 1
- Uploading trained model to HF/saving in HF format locally HOT 8
- Finetuning for SQuAD task HOT 2
- try it on Mac M1 but failed HOT 2
- can't import cramming HOT 2
- TypeError: _load_optimizer() missing 1 required positional argument: 'initial_time' HOT 1
- torch._dynamo error on step 2: calling compiler function 'inductor' HOT 7
- Finetuning for token classification HOT 3
- Configs for GPT? HOT 2
- Unable to replicate the results using the default command HOT 15
- How to load local data HOT 2
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