tuner.sft.trainer import CustomSeq2SeqTrainer from llmtuner.model import generate_model_card, load_model_and_tokenizer from llmtuner.train.sft.metric import ComputeMetrics from llmtuner.train.sft.trainer import CustomSeq2SeqTrainer if TYPE_CHECKING: from transformers import TrainerCallback Expand Down...
💪 框架升级:🏆 小样本 Prompt API 升级,提示定义更加灵活,支撑 FewCLUE AutoPrompt 方案;🕸 Trainer API 升级,新增sharding、bf16训练,新增Seq2seqTrainer、IterableDataset支持。 🔨 产业应用:🏃通用信息抽取 UIE 能力升级,支持量化训练及 INT8 精度推理,进一步提升 UIE 推理速度。💬 新增无监督问答 Pipi...
from mindformers import Trainer, MindFormerConfig File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindformers/init.py", line 20, in from mindformers import core, dataset, experimental, File "/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindform...
ImportError: cannot import name 'swap_cache' from 'mindspore._c_expression' (/home/ma-user/anaconda3/envs/MindSpore/lib/python3.9/site-packages/mindspore/_c_expression.cpython-39-aarch64-linux-gnu.so) 成员7个月前 ImportError: cannot import name 'swap_cache' from 'mindspore._c_expression' ...
) # Option 2: provided dataset data = llm.SquadDataModule(seq_length=2048, micro_batch_size=1, global_batch_size=128, ...) trainer.fit(model, data, ckpt_path=ckpt_path) Using the llm.finetune API with NeMo-Run: import nemo_run as run sft = run.Partial( llm.finetune, model=...
示例2: __init__ # 需要导入模块: from pytorch_pretrained_bert.modeling import BertForSequenceClassification [as 别名]# 或者: from pytorch_pretrained_bert.modeling.BertForSequenceClassification importfrom_pretrained[as 别名]def__init__(self, archive_file, model_file=None, use_cu...
config_file = str(self.FIXTURES_ROOT /"basic_classifier"/"experiment_seq2seq.jsonnet") model_params = Params.from_file(config_file).pop("model").as_dict(quiet=True)# Override only text_field_embedder and make it load Seq2SeqEncodermodel_params["text_field_embedder"] = {"_pretrained":...
_tokens.turn_start="'<extra_id_1>'"\model.data.chat_prompt_tokens.label_start="'<extra_id_2>'"\exp_manager.explicit_log_dir=/path/to/sft_log_dir\model.optim.lr=1e-6\model.answer_only_loss=True\trainer.sft.limit_val_batches=40\trainer.sft.val_check_interval=50\trainer.sft.save_...
Other Name: 1,2,3-Propanetricarboxylic acid,2-hydroxy-;Citric acid;2-Hydroxy-1,2,3-propanetricarboxylic acid;Aciletten;Citretten;Citro;Hydrocerol A;Chemfill;3-Carboxy-3-hydroxypentane-1,5-dioic acid;F 0001 (polycarboxylic acid);Uro-trainer;E 330;Suby G;NSC 112226;NSC 30279;NSC 626579;Celene...
importcopylora_model=copy.deepcopy(raw_model)# 深克隆,独立一个新模型replace_linear_with_lora(lora_model,r=8,alpha=16)# 替换print_trainable_parameters(lora_model)# 打印参数情况print(lora_model)"""trainable params: 16,896 || all params: 54,744 || trainable%: 30.8637LlamaModel((embed_tokens...