Files
modelscope/examples/pytorch/chatglm6b
zsl01670416 9926ad685b support getting labels from dataset in sbert text classification and building dataset from file in chatglm-6b
1.Add getting labels from dataset in "text_classificationfinetune_text_classification.py" to simplify user's operation in flex training. Parameters "--num_labels" and "--labels" were removed in "run_train.sh".
2.In "chatglm6b / finetune.py", building dataset from file  is necessary to support flex training.
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13382745
* support getting labels from dataset in sbert text classification and building dataset from file in chatglm-6b

* support getting labels from dataset in sbert text classification and building dataset from file in chatglm-6b

* remove repetitive labels in a concise manner of using set

* reserve parameter labels in finetune_text_classification

* Merge branch 'master' of http://gitlab.alibaba-inc.com/Ali-MaaS/MaaS-lib

reserve parameter labels in finetune_text_classification

* Merge branch 'support_text_cls_labels_chatglm_json'
reserve parameter labels in finetune_text_classification
2023-07-25 19:02:32 +08:00
..
2023-06-29 22:05:34 +08:00
2023-06-29 22:05:34 +08:00