Unable to use flash attention to train llama model
I am performing a training run and use Flash attention 2 with the llama model.
ValueError: The model did not return a loss from the inputs, but `model` exists in `train_datasets column_names`
A complete error is:
ValueError: The model did not return a loss from the inputs, but `model` exists in `train_datasets column_names`
A complete error is:
How to use HuggingFace’s run_translation.py script to train a translation from scratch?
I tried various HuggingFace scripts to build language models, such as run_mlm.py (link), run_clm.py (link) and run_translation.py (link). For the former 2 scripts, it can train a language model from scratch (i.e. without a base model).
can not import tftrainer from trnasformers
i try to train gpt2 model on my own data
Seamless m4t T2TT finetuning
Is there a way to finetune the Seamless-m4t-large model for Text-to-Text task, as the official git repo “facebookresearch/seamless_communication” doesn’t support the same currently?
Python Accelerate package thrown error when using Trainer from Transformers
I’m trying out this Hugging Face tutorial
Basic save_pretrained / from_pretrained not retrieving the same model that was saved – Transformers
I created my model with: