mistral-nanotron / run_train.py
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thomwolf HF staff
add eval code
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"""
Nanotron training script.
Usage:
```
export CUDA_DEVICE_MAX_CONNECTIONS=1 # important for some distributed operations
torchrun --nproc_per_node=8 run_train.py --config-file config_tiny_mistral.yaml
```
"""
import argparse
from nanotron.trainer import DistributedTrainer
from dataloader import get_dataloader
from modeling_mistral import MistralForTraining
from config_tiny_mistral import MistralConfig
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--config-file", type=str, required=True, help="Path to the YAML or python config file")
return parser.parse_args()
if __name__ == "__main__":
args = get_args()
config_file = args.config_file
# Load trainer and data
trainer = DistributedTrainer(config_file, model_class=MistralForTraining, model_config_class=MistralConfig)
dataloader = get_dataloader(trainer)
# Train
trainer.train(dataloader)