训练的过程: # set training arguments - these params are not really tuned, feel free to changetraining_args = Seq2SeqTrainingArguments( output_dir="./", evaluation_strategy="steps", per_device_train_batch_size=2, per_device_eval_batch_size=2, predict_with_generate=True, logging_steps=2,#...
logger.info(f"Checkpoint detected, resuming training at {last_checkpoint}. To avoid this behavior, change " "the `--output_dir` or add `--overwrite_output_dir` to train from scratch.") # Set seed before initializing model. set_seed(training_args.seed) # 加载任务相关处理的processor if da...
Original file line numberDiff line numberDiff line change @@ -39,11 +39,13 @@ # 如果希望从 huggingface.co下载模型,将以下注释删掉。将上方3行内容注释掉 # import huggingface_hub # os.environ['HF_HUB_CACHE']=MODEL_DIR # os.environ['HF_ASSETS_CACHE']=MODEL_DIR # CHATTTS_DIR = huggingfa...
# change this way of loading data dataset = load_from_disk( args.dataset_name ) else: if args.train_data_dir is not None: dataset = load_dataset( args.train_data_dir, cache_dir=args.cache_dir, ) # See more about loading custom images at # https://huggingface.co/docs/datasets/v2.0...
1 change: 1 addition & 0 deletions 1 setup.py Original file line numberDiff line numberDiff line change @@ -40,6 +40,7 @@ def get_version() -> str: extras["torch"] = [ "torch", "safetensors", ] extras["hf_transfer"] = [ "hf_transfer>=0.1.4", # Pin for progress ...
Code blocks are written using a regular markdown syntax ```. However, there is a special flag you can put in your mdx files to change the wrapping style of the resulting html from overflow/scrollbar to wrap. Syntax: <!-- WRAP CODE BLOCKS --> ...
eval \ --do_lower_case \ --data_dir $GLUE_DIR/MRPC/ \ --max_seq_length 128 \ --per_gpu_eval_batch_size=8 \ --per_gpu_train_batch_size=8 \ --learning_rate 2e-5 \ --num_train_epochs 3.0 \ --output_dir /tmp/mrpc_output/ \ --overwrite_output_dir \ --overwrite_cache ...
这篇博客是一篇来自 Meta AI,关于指令微调 Llama 2 的扩展说明。旨在聚焦构建指令数据集,有了它,我们则可以使用自己的指令来微调 Llama 2 基础模型。 目标是构建一个能够基于输入内容来生成指令的模型。这么做背后的逻辑是,模型如此就可以由其他人生成自己的指令数据集
:conf <key>=<value> Change generation config 修改生成配置 :reset-conf Reset generation config 重置生成配置 ''' def _load_model_tokenizer(args): tokenizer = AutoTokenizer.from_pretrained( args.checkpoint_path, trust_remote_code=True, resume_download=True, ...
no_change_btn = gr.Button() enable_btn = gr.Button(interactive=True) disable_btn = gr.Button(interactive=False) def load_model_tokenizer_processor(args): model_path = os.path.expanduser(args.model_path) key_info["model_path"] = model_path get_model_name_from_path(model_path) tokenizer...