TAUR-dev/D-ExpTracker__test_checkpoint_metrics__v1

该数据集用于评估和训练模型，包含了详细的特征、配置和使用说明。数据集被分为不同的配置，如evals_eval_sft、hyperparameters__sft、logs__evaluation_eval_0、logs__evaluation_eval_sft、logs__llamafactory_sft、metadata、training_data__sft和training_data__sft_metadata。每个配置都有自己的特征和数据文件。README还提供了实验描述、开始时间、已完成阶段、创建的模型、数据集配置、使用说明和注册详细信息。该数据集适用于Skill Factory工作流程，旨在训练和评估模型。

This dataset is used for evaluating and training models, including detailed features, configurations, and usage instructions. The dataset is structured into different configurations such as evals_eval_sft, hyperparameters__sft, logs__evaluation_eval_0, logs__evaluation_eval_sft, logs__llamafactory_sft, metadata, training_data__sft, and training_data__sft_metadata. Each configuration has its own set of features and data files. The README also provides information about the experiment description, start time, stages completed, models created, dataset configurations, usage instructions, and registry details. The dataset is designed for Skill Factory workflows and is intended for training and evaluation of models.