data,tokenizer):self.data=dataself.encoded_texts=[]forentryindata:instruction_plus_input=format_input(entry)response_text=f"\n\n### Response:\n{entry['output']}"full_text=instruction_plus_input+response_textself.encoded_texts.append(tokenizer.encode(full_text))def__getitem__(self,index)...
In short, the differences between LLaMA-Adapter and regular prefix tuning are that LLaMA-Adapter only modifies the top (i.e., the first few) transformer blocks and introduces a gating mechanism to stabilize the training. While the researchers specifically experiment with LLaMA, their proposed Adapte...
Fine-tuning Llama 3.2 and Using it Locally guide An Example AI Learning Plan Below, we’ve created a potential learning plan outlining where to focus your time and efforts if you’re just starting out with AI. Remember, the timescales, subject areas, and progress all depend on a wide range...
@misc{bloc97-2023 title = {NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.}, author = {/u/bloc97}, url = {https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_...
{"args": args, "callbacks": callbacks}) File "/home/goo/project/LLaMA-Factory/src/llamafactory/train/tuner.py", line 67, in _training_function run_sft(model_args, data_args, training_args, finetuning_args, generating_args, callbacks) File "/home/goo/project/LLaMA-Factory/src/llama...
下面的代码会将ch07/01_main-chapter-code/gpt2-medium355M-sft.pth位置的模型copy一份到ch07/04_preference-tuning-with-dpo/gpt2-medium355M-sft.pth。 import os from pathlib import Path import shutil finetuned_model_path = Path("gpt2-medium355M-sft.pth") if not finetuned_model_path.exist...
As of now, OpenChat stands as the latest dialogue-optimized LLM, inspired by LLaMA-13B. After fine-tuning on just 6k high-quality examples, it surpasses ChatGPT’s score on the Vicuna GPT-4 evaluation by 105.7%. This achievement underscores the potential of optimizing training methods and reso...
llamafactory配置文件: cutoff_len:2048dataset:identity,tool_identify,glaive_toolcall_zh_demodataset_dir:/home/goo/project/datasetddp_timeout:180000000deepspeed:/home/goo/project/train_config/ds_z3_offload_config_copy.jsondo_train:trueeval_steps:100eval_strategy:stepsfinetuning_type:fullflash_attn:aut...
3 AI Use Cases (That Are Not a Chatbot) Machine Learning Feature engineering, structuring unstructured data, and lead scoring Shaw Talebi August 21, 2024 7 min read Solving a Constrained Project Scheduling Problem with Quantum Annealing Data Science ...
In this study, we fine-tuned the Llama 2 model capable of generating structured pituitary MRI reports from unstructured reports.We used a training set comprising 104 pituitary MRI reports to fine-tune Llama 2 and 26 reports as a test set to evaluate the system. The dataset was annotated ...