how to get sharded ckpt

[laozhanghahaha]

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hey I downloaded the 1.3B ckpt from (https://github.com/facebookresearch/metaseq/tree/main/projects/OPT)

and I try to start finetune by this commad

opt-baselines -n 2 -g 4 -p test_v0 --model-size 1.3b --restore-file 1.3b/reshard.pt --data data-bin/ --checkpoints-dir checkpoints/ --no-save-dir --no-wandb --azure --local

but in the log it tells my No existing checkpoint found 1.3b/reshard-model_part-0-shard0.pt

I tried the convert_to_singleton.py but I only get the retored.pt, how could I get the *****shard0.pt file ?

here is the log

2023-02-17 07:04:55 | INFO | metaseq.utils | CUDA enviroments for all 4 workers
2023-02-17 07:04:55 | INFO | metaseq.cli.train | training on 4 devices (GPUs/TPUs)
2023-02-17 07:04:55 | INFO | metaseq.cli.train | max tokens per GPU = None and batch size per GPU = 32
2023-02-17 07:04:55 | WARNING | metaseq.checkpoint_utils | Proceeding without metaseq-internal installed! Please check if you need this!
2023-02-17 07:04:55 | WARNING | metaseq.checkpoint_utils | Proceeding without metaseq-internal installed! Please check if you need this!
2023-02-17 07:04:55 | WARNING | metaseq.checkpoint_utils | Proceeding without metaseq-internal installed! Please check if you need this!
2023-02-17 07:04:55 | INFO | metaseq.cli.train | nvidia-smi stats: {'gpu_0_mem_used_gb': 6.5791015625, 'gpu_1_mem_used_gb': 12.6201171875, 'gpu_2_mem_used_gb': 3.76953125, 'gpu_3_mem_used_gb': 12.6591796875, 'gpu_4_mem_used_gb': 9.486328125, 'gpu_5_mem_used_gb': 9.619140625, 'gpu_6_mem_used_gb': 9.728515625, 'gpu_7_mem_used_gb': 9.572265625}
2023-02-17 07:04:55 | WARNING | metaseq.checkpoint_utils | Proceeding without metaseq-internal installed! Please check if you need this!
2023-02-17 07:04:55 | INFO | metaseq.checkpoint_utils | attempting to load checkpoint from: 1.3b/reshard-model_part-0-shard0.pt
2023-02-17 07:04:55 | INFO | metaseq.trainer | No existing checkpoint found 1.3b/reshard-model_part-0-shard0.pt
2023-02-17 07:04:55 | INFO | metaseq.trainer | loading train data for epoch 1

• metaseq Version (e.g., 1.0 or master):
• PyTorch Version (e.g., 1.0)
• OS (e.g., Linux):
• How you installed metaseq (pip, source):
• Build command you used (if compiling from source):
• Python version:
• CUDA/cuDNN version:
• GPU models and configuration:
• Any other relevant information:

[wxthu]

--data data-bin
I want to know where I can get data-bin

[laozhanghahaha]

@wxthu mkdir, then put the data in that folder

[wxthu]

@wxthu mkdir, then put the data in that folder
dataset such as GLUE ? I am new to NLP ...

[laozhanghahaha]

@wxthu your dataset should look like this

metaseq/metaseq/tasks/streaming_language_modeling.py

Line 287 in b47f8d1

def load_dataset(self, split: str, epoch=1, combine=False, **kwargs):