I am sorry for this very basic question. I am new to LLMβs and have ran Auto train on an m2 ultra using 100 rows of csv data. I followed this video
I folder with the name of my project got created after it gave this message:
> /opt/homebrew/Caskroom/miniforge/base/envs/testFine/lib/python3.10/site-packages/torch/utils/data/dataloader.py:645: UserWarning: Length of IterableDataset <trl.trainer.utils.ConstantLengthDataset object at 0x4cd9da740> was reported to be 100 (when accessing len(dataloader)), but 143 samples have been fetched.
warnings.warn(warn_msg)
{'loss': 4.2429, 'learning_rate': 0.0, 'epoch': 2.14}
{'train_runtime': 619.2563, 'train_samples_per_second': 0.484, 'train_steps_per_second': 0.484, 'train_loss': 4.507806447347005, 'epoch': 2.14}
100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 300/300 [10:19<00:00, 2.06s/it]
> INFO Finished training, saving model...
Contents of the project folder: