Spaces:
Runtime error
Runtime error
| LOCALES = { | |
| "lang": { | |
| "en": { | |
| "label": "Lang" | |
| }, | |
| "zh": { | |
| "label": "语言" | |
| } | |
| }, | |
| "model_name": { | |
| "en": { | |
| "label": "Model name" | |
| }, | |
| "zh": { | |
| "label": "模型名称" | |
| } | |
| }, | |
| "model_path": { | |
| "en": { | |
| "label": "Model path", | |
| "info": "Path to pretrained model or model identifier from Hugging Face." | |
| }, | |
| "zh": { | |
| "label": "模型路径", | |
| "info": "本地模型的文件路径或 Hugging Face 的模型标识符。" | |
| } | |
| }, | |
| "finetuning_type": { | |
| "en": { | |
| "label": "Finetuning method" | |
| }, | |
| "zh": { | |
| "label": "微调方法" | |
| } | |
| }, | |
| "checkpoints": { | |
| "en": { | |
| "label": "Checkpoints" | |
| }, | |
| "zh": { | |
| "label": "模型断点" | |
| } | |
| }, | |
| "refresh_btn": { | |
| "en": { | |
| "value": "Refresh checkpoints" | |
| }, | |
| "zh": { | |
| "value": "刷新断点" | |
| } | |
| }, | |
| "advanced_tab": { | |
| "en": { | |
| "label": "Advanced configurations" | |
| }, | |
| "zh": { | |
| "label": "高级设置" | |
| } | |
| }, | |
| "quantization_bit": { | |
| "en": { | |
| "label": "Quantization bit (optional)", | |
| "info": "Enable 4/8-bit model quantization." | |
| }, | |
| "zh": { | |
| "label": "量化等级（非必填）", | |
| "info": "启用 4/8 比特模型量化。" | |
| } | |
| }, | |
| "template": { | |
| "en": { | |
| "label": "Prompt template", | |
| "info": "The template used in constructing prompts." | |
| }, | |
| "zh": { | |
| "label": "提示模板", | |
| "info": "构建提示词时使用的模板" | |
| } | |
| }, | |
| "system_prompt": { | |
| "en": { | |
| "label": "System prompt (optional)", | |
| "info": "A sequence used as the default system prompt." | |
| }, | |
| "zh": { | |
| "label": "系统提示词（非必填）", | |
| "info": "默认使用的系统提示词" | |
| } | |
| }, | |
| "training_stage": { | |
| "en": { | |
| "label": "Stage", | |
| "info": "The stage to perform in training." | |
| }, | |
| "zh": { | |
| "label": "训练阶段", | |
| "info": "目前采用的训练方式。" | |
| } | |
| }, | |
| "dataset_dir": { | |
| "en": { | |
| "label": "Data dir", | |
| "info": "Path of the data directory." | |
| }, | |
| "zh": { | |
| "label": "数据路径", | |
| "info": "数据文件夹的路径。" | |
| } | |
| }, | |
| "dataset": { | |
| "en": { | |
| "label": "Dataset" | |
| }, | |
| "zh": { | |
| "label": "数据集" | |
| } | |
| }, | |
| "data_preview_btn": { | |
| "en": { | |
| "value": "Preview dataset" | |
| }, | |
| "zh": { | |
| "value": "预览数据集" | |
| } | |
| }, | |
| "preview_count": { | |
| "en": { | |
| "label": "Count" | |
| }, | |
| "zh": { | |
| "label": "数量" | |
| } | |
| }, | |
| "preview_samples": { | |
| "en": { | |
| "label": "Samples" | |
| }, | |
| "zh": { | |
| "label": "样例" | |
| } | |
| }, | |
| "close_btn": { | |
| "en": { | |
| "value": "Close" | |
| }, | |
| "zh": { | |
| "value": "关闭" | |
| } | |
| }, | |
| "cutoff_len": { | |
| "en": { | |
| "label": "Cutoff length", | |
| "info": "Max tokens in input sequence." | |
| }, | |
| "zh": { | |
| "label": "截断长度", | |
| "info": "输入序列分词后的最大长度。" | |
| } | |
| }, | |
| "learning_rate": { | |
| "en": { | |
| "label": "Learning rate", | |
| "info": "Initial learning rate for AdamW." | |
| }, | |
| "zh": { | |
| "label": "学习率", | |
| "info": "AdamW 优化器的初始学习率。" | |
| } | |
| }, | |
| "num_train_epochs": { | |
| "en": { | |
| "label": "Epochs", | |
| "info": "Total number of training epochs to perform." | |
| }, | |
| "zh": { | |
| "label": "训练轮数", | |
| "info": "需要执行的训练总轮数。" | |
| } | |
| }, | |
| "max_samples": { | |
| "en": { | |
| "label": "Max samples", | |
| "info": "Maximum samples per dataset." | |
| }, | |
| "zh": { | |
| "label": "最大样本数", | |
| "info": "每个数据集最多使用的样本数。" | |
| } | |
| }, | |
| "compute_type": { | |
| "en": { | |
| "label": "Compute type", | |
| "info": "Whether to use fp16 or bf16 mixed precision training." | |
| }, | |
| "zh": { | |
| "label": "计算类型", | |
| "info": "是否启用 FP16 或 BF16 混合精度训练。" | |
| } | |
| }, | |
| "batch_size": { | |
| "en": { | |
| "label": "Batch size", | |
| "info": "Number of samples to process per GPU." | |
| }, | |
| "zh":{ | |
| "label": "批处理大小", | |
| "info": "每块 GPU 上处理的样本数量。" | |
| } | |
| }, | |
| "gradient_accumulation_steps": { | |
| "en": { | |
| "label": "Gradient accumulation", | |
| "info": "Number of gradient accumulation steps." | |
| }, | |
| "zh": { | |
| "label": "梯度累积", | |
| "info": "梯度累积的步数。" | |
| } | |
| }, | |
| "lr_scheduler_type": { | |
| "en": { | |
| "label": "LR Scheduler", | |
| "info": "Name of learning rate scheduler.", | |
| }, | |
| "zh": { | |
| "label": "学习率调节器", | |
| "info": "采用的学习率调节器名称。" | |
| } | |
| }, | |
| "max_grad_norm": { | |
| "en": { | |
| "label": "Maximum gradient norm", | |
| "info": "Norm for gradient clipping.." | |
| }, | |
| "zh": { | |
| "label": "最大梯度范数", | |
| "info": "用于梯度裁剪的范数。" | |
| } | |
| }, | |
| "val_size": { | |
| "en": { | |
| "label": "Val size", | |
| "info": "Proportion of data in the dev set." | |
| }, | |
| "zh": { | |
| "label": "验证集比例", | |
| "info": "验证集占全部样本的百分比。" | |
| } | |
| }, | |
| "logging_steps": { | |
| "en": { | |
| "label": "Logging steps", | |
| "info": "Number of steps between two logs." | |
| }, | |
| "zh": { | |
| "label": "日志间隔", | |
| "info": "每两次日志输出间的更新步数。" | |
| } | |
| }, | |
| "save_steps": { | |
| "en": { | |
| "label": "Save steps", | |
| "info": "Number of steps between two checkpoints." | |
| }, | |
| "zh": { | |
| "label": "保存间隔", | |
| "info": "每两次断点保存间的更新步数。" | |
| } | |
| }, | |
| "warmup_steps": { | |
| "en": { | |
| "label": "Warmup steps", | |
| "info": "Number of steps used for warmup." | |
| }, | |
| "zh": { | |
| "label": "预热步数", | |
| "info": "学习率预热采用的步数。" | |
| } | |
| }, | |
| "flash_attn": { | |
| "en": { | |
| "label": "Use FlashAttention-2" | |
| }, | |
| "zh": { | |
| "label": "使用 FlashAttention-2" | |
| } | |
| }, | |
| "rope_scaling": { | |
| "en": { | |
| "label": "Use RoPE scaling" | |
| }, | |
| "zh": { | |
| "label": "使用 RoPE 插值" | |
| } | |
| }, | |
| "lora_tab": { | |
| "en": { | |
| "label": "LoRA configurations" | |
| }, | |
| "zh": { | |
| "label": "LoRA 参数设置" | |
| } | |
| }, | |
| "lora_rank": { | |
| "en": { | |
| "label": "LoRA rank", | |
| "info": "The rank of LoRA matrices." | |
| }, | |
| "zh": { | |
| "label": "LoRA 秩", | |
| "info": "LoRA 矩阵的秩。" | |
| } | |
| }, | |
| "lora_dropout": { | |
| "en": { | |
| "label": "LoRA Dropout", | |
| "info": "Dropout ratio of LoRA weights." | |
| }, | |
| "zh": { | |
| "label": "LoRA 随机丢弃", | |
| "info": "LoRA 权重随机丢弃的概率。" | |
| } | |
| }, | |
| "lora_target": { | |
| "en": { | |
| "label": "LoRA modules (optional)", | |
| "info": "The name(s) of target modules to apply LoRA. Use commas to separate multiple modules." | |
| }, | |
| "zh": { | |
| "label": "LoRA 作用层（非必填）", | |
| "info": "应用 LoRA 的线性层名称。使用英文逗号分隔多个名称。" | |
| } | |
| }, | |
| "resume_lora_training": { | |
| "en": { | |
| "label": "Resume LoRA training", | |
| "info": "Whether to resume training from the last LoRA weights or create new lora weights." | |
| }, | |
| "zh": { | |
| "label": "继续上次的训练", | |
| "info": "接着上次的 LoRA 权重训练或创建一个新的 LoRA 权重。" | |
| } | |
| }, | |
| "rlhf_tab": { | |
| "en": { | |
| "label": "RLHF configurations" | |
| }, | |
| "zh": { | |
| "label": "RLHF 参数设置" | |
| } | |
| }, | |
| "dpo_beta": { | |
| "en": { | |
| "label": "DPO beta", | |
| "info": "Value of the beta parameter in the DPO loss." | |
| }, | |
| "zh": { | |
| "label": "DPO beta 参数", | |
| "info": "DPO 损失函数中 beta 超参数大小。" | |
| } | |
| }, | |
| "reward_model": { | |
| "en": { | |
| "label": "Reward model", | |
| "info": "Checkpoint of the reward model for PPO training." | |
| }, | |
| "zh": { | |
| "label": "奖励模型", | |
| "info": "PPO 训练中奖励模型的断点路径。" | |
| } | |
| }, | |
| "cmd_preview_btn": { | |
| "en": { | |
| "value": "Preview command" | |
| }, | |
| "zh": { | |
| "value": "预览命令" | |
| } | |
| }, | |
| "start_btn": { | |
| "en": { | |
| "value": "Start" | |
| }, | |
| "zh": { | |
| "value": "开始" | |
| } | |
| }, | |
| "stop_btn": { | |
| "en": { | |
| "value": "Abort" | |
| }, | |
| "zh": { | |
| "value": "中断" | |
| } | |
| }, | |
| "output_dir": { | |
| "en": { | |
| "label": "Checkpoint name", | |
| "info": "Directory to save checkpoint." | |
| }, | |
| "zh": { | |
| "label": "断点名称", | |
| "info": "保存模型断点的文件夹名称。" | |
| } | |
| }, | |
| "output_box": { | |
| "en": { | |
| "value": "Ready." | |
| }, | |
| "zh": { | |
| "value": "准备就绪。" | |
| } | |
| }, | |
| "loss_viewer": { | |
| "en": { | |
| "label": "Loss" | |
| }, | |
| "zh": { | |
| "label": "损失" | |
| } | |
| }, | |
| "predict": { | |
| "en": { | |
| "label": "Save predictions" | |
| }, | |
| "zh": { | |
| "label": "保存预测结果" | |
| } | |
| }, | |
| "load_btn": { | |
| "en": { | |
| "value": "Load model" | |
| }, | |
| "zh": { | |
| "value": "加载模型" | |
| } | |
| }, | |
| "unload_btn": { | |
| "en": { | |
| "value": "Unload model" | |
| }, | |
| "zh": { | |
| "value": "卸载模型" | |
| } | |
| }, | |
| "info_box": { | |
| "en": { | |
| "value": "Model unloaded, please load a model first." | |
| }, | |
| "zh": { | |
| "value": "模型未加载，请先加载模型。" | |
| } | |
| }, | |
| "system": { | |
| "en": { | |
| "placeholder": "System prompt (optional)" | |
| }, | |
| "zh": { | |
| "placeholder": "系统提示词（非必填）" | |
| } | |
| }, | |
| "query": { | |
| "en": { | |
| "placeholder": "Input..." | |
| }, | |
| "zh": { | |
| "placeholder": "输入..." | |
| } | |
| }, | |
| "submit_btn": { | |
| "en": { | |
| "value": "Submit" | |
| }, | |
| "zh": { | |
| "value": "提交" | |
| } | |
| }, | |
| "clear_btn": { | |
| "en": { | |
| "value": "Clear history" | |
| }, | |
| "zh": { | |
| "value": "清空历史" | |
| } | |
| }, | |
| "max_length": { | |
| "en": { | |
| "label": "Maximum length" | |
| }, | |
| "zh": { | |
| "label": "最大长度" | |
| } | |
| }, | |
| "max_new_tokens": { | |
| "en": { | |
| "label": "Maximum new tokens" | |
| }, | |
| "zh": { | |
| "label": "最大生成长度" | |
| } | |
| }, | |
| "top_p": { | |
| "en": { | |
| "label": "Top-p" | |
| }, | |
| "zh": { | |
| "label": "Top-p 采样值" | |
| } | |
| }, | |
| "temperature": { | |
| "en": { | |
| "label": "Temperature" | |
| }, | |
| "zh": { | |
| "label": "温度系数" | |
| } | |
| }, | |
| "save_dir": { | |
| "en": { | |
| "label": "Export dir", | |
| "info": "Directory to save exported model." | |
| }, | |
| "zh": { | |
| "label": "导出目录", | |
| "info": "保存导出模型的文件夹路径。" | |
| } | |
| }, | |
| "max_shard_size": { | |
| "en": { | |
| "label": "Max shard size (GB)", | |
| "info": "The maximum size for a model file." | |
| }, | |
| "zh": { | |
| "label": "最大分块大小（GB）", | |
| "info": "模型文件的最大大小。" | |
| } | |
| }, | |
| "export_btn": { | |
| "en": { | |
| "value": "Export" | |
| }, | |
| "zh": { | |
| "value": "开始导出" | |
| } | |
| } | |
| } | |
| ALERTS = { | |
| "err_conflict": { | |
| "en": "A process is in running, please abort it firstly.", | |
| "zh": "任务已存在，请先中断训练。" | |
| }, | |
| "err_exists": { | |
| "en": "You have loaded a model, please unload it first.", | |
| "zh": "模型已存在，请先卸载模型。" | |
| }, | |
| "err_no_model": { | |
| "en": "Please select a model.", | |
| "zh": "请选择模型。" | |
| }, | |
| "err_no_path": { | |
| "en": "Model not found.", | |
| "zh": "模型未找到。" | |
| }, | |
| "err_no_dataset": { | |
| "en": "Please choose a dataset.", | |
| "zh": "请选择数据集。" | |
| }, | |
| "err_no_checkpoint": { | |
| "en": "Please select a checkpoint.", | |
| "zh": "请选择断点。" | |
| }, | |
| "err_no_save_dir": { | |
| "en": "Please provide export dir.", | |
| "zh": "请填写导出目录" | |
| }, | |
| "err_failed": { | |
| "en": "Failed.", | |
| "zh": "训练出错。" | |
| }, | |
| "info_aborting": { | |
| "en": "Aborted, wait for terminating...", | |
| "zh": "训练中断，正在等待线程结束……" | |
| }, | |
| "info_aborted": { | |
| "en": "Ready.", | |
| "zh": "准备就绪。" | |
| }, | |
| "info_finished": { | |
| "en": "Finished.", | |
| "zh": "训练完毕。" | |
| }, | |
| "info_loading": { | |
| "en": "Loading model...", | |
| "zh": "加载中……" | |
| }, | |
| "info_unloading": { | |
| "en": "Unloading model...", | |
| "zh": "卸载中……" | |
| }, | |
| "info_loaded": { | |
| "en": "Model loaded, now you can chat with your model!", | |
| "zh": "模型已加载，可以开始聊天了！" | |
| }, | |
| "info_unloaded": { | |
| "en": "Model unloaded.", | |
| "zh": "模型已卸载。" | |
| }, | |
| "info_exporting": { | |
| "en": "Exporting model...", | |
| "zh": "正在导出模型……" | |
| }, | |
| "info_exported": { | |
| "en": "Model exported.", | |
| "zh": "模型导出完成。" | |
| } | |
| } | |