format style
Former-commit-id: 53b683531b83cd1d19de97c6565f16c1eca6f5e1
This commit is contained in:
hiyouga
@@ -1,726 +1,220 @@
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LOCALES = {
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"lang": {
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"en": {
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"label": "Lang"
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},
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"zh": {
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"label": "语言"
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}
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},
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"model_name": {
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"en": {
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"label": "Model name"
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},
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"zh": {
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"label": "模型名称"
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}
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},
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"lang": {"en": {"label": "Lang"}, "zh": {"label": "语言"}},
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"model_name": {"en": {"label": "Model name"}, "zh": {"label": "模型名称"}},
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"model_path": {
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"en": {
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"label": "Model path",
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"info": "Path to pretrained model or model identifier from Hugging Face."
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},
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"zh": {
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"label": "模型路径",
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"info": "本地模型的文件路径或 Hugging Face 的模型标识符。"
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}
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},
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"finetuning_type": {
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"en": {
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"label": "Finetuning method"
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},
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"zh": {
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"label": "微调方法"
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}
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},
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"adapter_path": {
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"en": {
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"label": "Adapter path"
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},
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"zh": {
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"label": "适配器路径"
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}
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},
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"refresh_btn": {
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"en": {
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"value": "Refresh adapters"
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},
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"zh": {
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"value": "刷新适配器"
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}
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},
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"advanced_tab": {
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"en": {
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"label": "Advanced configurations"
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},
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"zh": {
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"label": "高级设置"
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}
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"en": {"label": "Model path", "info": "Path to pretrained model or model identifier from Hugging Face."},
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"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。"},
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},
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"finetuning_type": {"en": {"label": "Finetuning method"}, "zh": {"label": "微调方法"}},
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"adapter_path": {"en": {"label": "Adapter path"}, "zh": {"label": "适配器路径"}},
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"refresh_btn": {"en": {"value": "Refresh adapters"}, "zh": {"value": "刷新适配器"}},
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"advanced_tab": {"en": {"label": "Advanced configurations"}, "zh": {"label": "高级设置"}},
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"quantization_bit": {
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"en": {
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"label": "Quantization bit",
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"info": "Enable 4/8-bit model quantization (QLoRA)."
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},
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"zh": {
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"label": "量化等级",
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"info": "启用 4/8 比特模型量化（QLoRA）。"
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}
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"en": {"label": "Quantization bit", "info": "Enable 4/8-bit model quantization (QLoRA)."},
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"zh": {"label": "量化等级", "info": "启用 4/8 比特模型量化（QLoRA）。"},
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},
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"template": {
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"en": {
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"label": "Prompt template",
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"info": "The template used in constructing prompts."
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},
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"zh": {
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"label": "提示模板",
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"info": "构建提示词时使用的模板"
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}
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},
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"rope_scaling": {
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"en": {
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"label": "RoPE scaling"
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},
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"zh": {
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"label": "RoPE 插值方法"
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}
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},
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"booster": {
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"en": {
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"label": "Booster"
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},
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"zh": {
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"label": "加速方式"
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}
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"en": {"label": "Prompt template", "info": "The template used in constructing prompts."},
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"zh": {"label": "提示模板", "info": "构建提示词时使用的模板"},
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},
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"rope_scaling": {"en": {"label": "RoPE scaling"}, "zh": {"label": "RoPE 插值方法"}},
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"booster": {"en": {"label": "Booster"}, "zh": {"label": "加速方式"}},
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"training_stage": {
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"en": {
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"label": "Stage",
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"info": "The stage to perform in training."
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},
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"zh": {
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"label": "训练阶段",
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"info": "目前采用的训练方式。"
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}
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"en": {"label": "Stage", "info": "The stage to perform in training."},
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"zh": {"label": "训练阶段", "info": "目前采用的训练方式。"},
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},
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"dataset_dir": {
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"en": {
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"label": "Data dir",
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"info": "Path to the data directory."
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},
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"zh": {
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"label": "数据路径",
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"info": "数据文件夹的路径。"
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}
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},
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"dataset": {
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"en": {
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"label": "Dataset"
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},
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"zh": {
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"label": "数据集"
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}
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},
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"data_preview_btn": {
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"en": {
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"value": "Preview dataset"
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},
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"zh": {
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"value": "预览数据集"
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}
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},
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"preview_count": {
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"en": {
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"label": "Count"
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},
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"zh": {
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"label": "数量"
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}
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},
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"page_index": {
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"en": {
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"label": "Page"
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},
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"zh": {
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"label": "页数"
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}
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},
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"prev_btn": {
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"en": {
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"value": "Prev"
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},
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"zh": {
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"value": "上一页"
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}
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},
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"next_btn": {
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"en": {
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"value": "Next"
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},
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"zh": {
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"value": "下一页"
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}
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},
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"close_btn": {
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"en": {
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"value": "Close"
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},
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"zh": {
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"value": "关闭"
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}
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},
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"preview_samples": {
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"en": {
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"label": "Samples"
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},
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"zh": {
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"label": "样例"
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}
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"en": {"label": "Data dir", "info": "Path to the data directory."},
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"zh": {"label": "数据路径", "info": "数据文件夹的路径。"},
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},
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"dataset": {"en": {"label": "Dataset"}, "zh": {"label": "数据集"}},
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"data_preview_btn": {"en": {"value": "Preview dataset"}, "zh": {"value": "预览数据集"}},
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"preview_count": {"en": {"label": "Count"}, "zh": {"label": "数量"}},
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"page_index": {"en": {"label": "Page"}, "zh": {"label": "页数"}},
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"prev_btn": {"en": {"value": "Prev"}, "zh": {"value": "上一页"}},
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"next_btn": {"en": {"value": "Next"}, "zh": {"value": "下一页"}},
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"close_btn": {"en": {"value": "Close"}, "zh": {"value": "关闭"}},
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"preview_samples": {"en": {"label": "Samples"}, "zh": {"label": "样例"}},
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"cutoff_len": {
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"en": {
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"label": "Cutoff length",
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"info": "Max tokens in input sequence."
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},
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"zh": {
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"label": "截断长度",
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"info": "输入序列分词后的最大长度。"
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}
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"en": {"label": "Cutoff length", "info": "Max tokens in input sequence."},
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"zh": {"label": "截断长度", "info": "输入序列分词后的最大长度。"},
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},
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"learning_rate": {
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"en": {
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"label": "Learning rate",
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"info": "Initial learning rate for AdamW."
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},
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"zh": {
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"label": "学习率",
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"info": "AdamW 优化器的初始学习率。"
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}
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"en": {"label": "Learning rate", "info": "Initial learning rate for AdamW."},
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"zh": {"label": "学习率", "info": "AdamW 优化器的初始学习率。"},
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},
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"num_train_epochs": {
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"en": {
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"label": "Epochs",
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"info": "Total number of training epochs to perform."
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},
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"zh": {
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"label": "训练轮数",
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"info": "需要执行的训练总轮数。"
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}
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"en": {"label": "Epochs", "info": "Total number of training epochs to perform."},
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"zh": {"label": "训练轮数", "info": "需要执行的训练总轮数。"},
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},
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"max_samples": {
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"en": {
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"label": "Max samples",
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"info": "Maximum samples per dataset."
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},
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"zh": {
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"label": "最大样本数",
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"info": "每个数据集最多使用的样本数。"
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}
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"en": {"label": "Max samples", "info": "Maximum samples per dataset."},
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"zh": {"label": "最大样本数", "info": "每个数据集最多使用的样本数。"},
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},
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"compute_type": {
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"en": {
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"label": "Compute type",
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"info": "Whether to use fp16 or bf16 mixed precision training."
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},
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"zh": {
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"label": "计算类型",
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"info": "是否启用 FP16 或 BF16 混合精度训练。"
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}
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"en": {"label": "Compute type", "info": "Whether to use fp16 or bf16 mixed precision training."},
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"zh": {"label": "计算类型", "info": "是否启用 FP16 或 BF16 混合精度训练。"},
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},
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"batch_size": {
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"en": {
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"label": "Batch size",
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"info": "Number of samples to process per GPU."
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},
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"zh":{
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"label": "批处理大小",
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"info": "每块 GPU 上处理的样本数量。"
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}
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"en": {"label": "Batch size", "info": "Number of samples to process per GPU."},
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"zh": {"label": "批处理大小", "info": "每块 GPU 上处理的样本数量。"},
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},
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"gradient_accumulation_steps": {
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"en": {
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"label": "Gradient accumulation",
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"info": "Number of gradient accumulation steps."
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},
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"zh": {
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"label": "梯度累积",
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"info": "梯度累积的步数。"
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}
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"en": {"label": "Gradient accumulation", "info": "Number of gradient accumulation steps."},
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"zh": {"label": "梯度累积", "info": "梯度累积的步数。"},
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},
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"lr_scheduler_type": {
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"en": {
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"label": "LR Scheduler",
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"info": "Name of learning rate scheduler.",
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},
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"zh": {
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"label": "学习率调节器",
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"info": "采用的学习率调节器名称。"
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}
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"zh": {"label": "学习率调节器", "info": "采用的学习率调节器名称。"},
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},
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"max_grad_norm": {
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"en": {
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"label": "Maximum gradient norm",
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"info": "Norm for gradient clipping.."
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},
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"zh": {
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"label": "最大梯度范数",
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"info": "用于梯度裁剪的范数。"
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}
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"en": {"label": "Maximum gradient norm", "info": "Norm for gradient clipping.."},
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"zh": {"label": "最大梯度范数", "info": "用于梯度裁剪的范数。"},
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},
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"val_size": {
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"en": {
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"label": "Val size",
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"info": "Proportion of data in the dev set."
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},
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"zh": {
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"label": "验证集比例",
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"info": "验证集占全部样本的百分比。"
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}
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},
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"extra_tab": {
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"en": {
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"label": "Extra configurations"
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},
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"zh": {
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"label": "其它参数设置"
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}
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"en": {"label": "Val size", "info": "Proportion of data in the dev set."},
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"zh": {"label": "验证集比例", "info": "验证集占全部样本的百分比。"},
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},
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"extra_tab": {"en": {"label": "Extra configurations"}, "zh": {"label": "其它参数设置"}},
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"logging_steps": {
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"en": {
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"label": "Logging steps",
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"info": "Number of steps between two logs."
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},
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"zh": {
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"label": "日志间隔",
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"info": "每两次日志输出间的更新步数。"
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}
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"en": {"label": "Logging steps", "info": "Number of steps between two logs."},
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"zh": {"label": "日志间隔", "info": "每两次日志输出间的更新步数。"},
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},
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"save_steps": {
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"en": {
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"label": "Save steps",
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"info": "Number of steps between two checkpoints."
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},
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"zh": {
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"label": "保存间隔",
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"info": "每两次断点保存间的更新步数。"
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}
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"en": {"label": "Save steps", "info": "Number of steps between two checkpoints."},
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"zh": {"label": "保存间隔", "info": "每两次断点保存间的更新步数。"},
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},
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"warmup_steps": {
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"en": {
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"label": "Warmup steps",
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"info": "Number of steps used for warmup."
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},
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"zh": {
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"label": "预热步数",
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"info": "学习率预热采用的步数。"
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}
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"en": {"label": "Warmup steps", "info": "Number of steps used for warmup."},
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"zh": {"label": "预热步数", "info": "学习率预热采用的步数。"},
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},
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"neftune_alpha": {
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"en": {
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"label": "NEFTune Alpha",
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"info": "Magnitude of noise adding to embedding vectors."
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},
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"zh": {
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"label": "NEFTune 噪声参数",
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"info": "嵌入向量所添加的噪声大小。"
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}
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"en": {"label": "NEFTune Alpha", "info": "Magnitude of noise adding to embedding vectors."},
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"zh": {"label": "NEFTune 噪声参数", "info": "嵌入向量所添加的噪声大小。"},
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},
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"sft_packing": {
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"en": {
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"label": "Pack sequences",
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"info": "Pack sequences into samples of fixed length in supervised fine-tuning."
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"info": "Pack sequences into samples of fixed length in supervised fine-tuning.",
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},
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"zh": {
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"label": "序列打包",
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"info": "在有监督微调阶段将序列打包为相同长度的样本。"
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}
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"zh": {"label": "序列打包", "info": "在有监督微调阶段将序列打包为相同长度的样本。"},
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},
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"upcast_layernorm": {
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"en": {
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"label": "Upcast LayerNorm",
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"info": "Upcast weights of layernorm in float32."
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},
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"zh": {
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"label": "缩放归一化层",
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"info": "将归一化层权重缩放至 32 位精度。"
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}
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},
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"lora_tab": {
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"en": {
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"label": "LoRA configurations"
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},
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"zh": {
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||||
"label": "LoRA 参数设置"
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||||
}
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||||
"en": {"label": "Upcast LayerNorm", "info": "Upcast weights of layernorm in float32."},
|
||||
"zh": {"label": "缩放归一化层", "info": "将归一化层权重缩放至 32 位精度。"},
|
||||
},
|
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"lora_tab": {"en": {"label": "LoRA configurations"}, "zh": {"label": "LoRA 参数设置"}},
|
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"lora_rank": {
|
||||
"en": {
|
||||
"label": "LoRA rank",
|
||||
"info": "The rank of LoRA matrices."
|
||||
},
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"zh": {
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"label": "LoRA 秩",
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||||
"info": "LoRA 矩阵的秩。"
|
||||
}
|
||||
"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。"
|
||||
}
|
||||
"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。"},
|
||||
},
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"lora_target": {
|
||||
"en": {
|
||||
"label": "LoRA modules (optional)",
|
||||
"info": "Name(s) of target modules to apply LoRA. Use commas to separate multiple modules."
|
||||
"info": "Name(s) of target modules to apply LoRA. Use commas to separate multiple modules.",
|
||||
},
|
||||
"zh": {
|
||||
"label": "LoRA 作用模块（非必填）",
|
||||
"info": "应用 LoRA 的目标模块名称。使用英文逗号分隔多个名称。"
|
||||
}
|
||||
"zh": {"label": "LoRA 作用模块（非必填）", "info": "应用 LoRA 的目标模块名称。使用英文逗号分隔多个名称。"},
|
||||
},
|
||||
"additional_target": {
|
||||
"en": {
|
||||
"label": "Additional modules (optional)",
|
||||
"info": "Name(s) of modules apart from LoRA layers to be set as trainable. Use commas to separate multiple modules."
|
||||
"info": "Name(s) of modules apart from LoRA layers to be set as trainable. Use commas to separate multiple modules.",
|
||||
},
|
||||
"zh": {
|
||||
"label": "附加模块（非必填）",
|
||||
"info": "除 LoRA 层以外的可训练模块名称。使用英文逗号分隔多个名称。"
|
||||
}
|
||||
"zh": {"label": "附加模块（非必填）", "info": "除 LoRA 层以外的可训练模块名称。使用英文逗号分隔多个名称。"},
|
||||
},
|
||||
"create_new_adapter": {
|
||||
"en": {
|
||||
"label": "Create new adapter",
|
||||
"info": "Whether to create a new adapter with randomly initialized weight or not."
|
||||
"info": "Whether to create a new adapter with randomly initialized weight or not.",
|
||||
},
|
||||
"zh": {
|
||||
"label": "新建适配器",
|
||||
"info": "是否创建一个经过随机初始化的新适配器。"
|
||||
}
|
||||
},
|
||||
"rlhf_tab": {
|
||||
"en": {
|
||||
"label": "RLHF configurations"
|
||||
},
|
||||
"zh": {
|
||||
"label": "RLHF 参数设置"
|
||||
}
|
||||
"zh": {"label": "新建适配器", "info": "是否创建一个经过随机初始化的新适配器。"},
|
||||
},
|
||||
"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。"
|
||||
}
|
||||
"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。"},
|
||||
},
|
||||
"dpo_ftx": {
|
||||
"en": {
|
||||
"label": "DPO-ftx weight",
|
||||
"info": "The weight of SFT loss in the DPO-ftx."
|
||||
},
|
||||
"zh": {
|
||||
"label": "DPO-ftx 权重",
|
||||
"info": "DPO-ftx 中 SFT 损失的权重大小。"
|
||||
}
|
||||
"en": {"label": "DPO-ftx weight", "info": "The weight of SFT loss in the DPO-ftx."},
|
||||
"zh": {"label": "DPO-ftx 权重", "info": "DPO-ftx 中 SFT 损失的权重大小。"},
|
||||
},
|
||||
"reward_model": {
|
||||
"en": {
|
||||
"label": "Reward model",
|
||||
"info": "Adapter of the reward model for PPO training. (Needs to refresh adapters)"
|
||||
"info": "Adapter of the reward model for PPO training. (Needs to refresh adapters)",
|
||||
},
|
||||
"zh": {
|
||||
"label": "奖励模型",
|
||||
"info": "PPO 训练中奖励模型的适配器路径。（需要刷新适配器）"
|
||||
}
|
||||
},
|
||||
"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"
|
||||
}
|
||||
"zh": {"label": "奖励模型", "info": "PPO 训练中奖励模型的适配器路径。（需要刷新适配器）"},
|
||||
},
|
||||
"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": "Output dir",
|
||||
"info": "Directory for saving results."
|
||||
},
|
||||
"zh": {
|
||||
"label": "输出目录",
|
||||
"info": "保存结果的路径。"
|
||||
}
|
||||
},
|
||||
"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）"
|
||||
}
|
||||
},
|
||||
"tools": {
|
||||
"en": {
|
||||
"placeholder": "Tools (optional)"
|
||||
},
|
||||
"zh": {
|
||||
"placeholder": "工具列表（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"
|
||||
}
|
||||
"en": {"label": "Output dir", "info": "Directory for saving results."},
|
||||
"zh": {"label": "输出目录", "info": "保存结果的路径。"},
|
||||
},
|
||||
"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）"}},
|
||||
"tools": {"en": {"placeholder": "Tools (optional)"}, "zh": {"placeholder": "工具列表（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"}},
|
||||
"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": "单个模型文件的最大大小。"
|
||||
}
|
||||
"en": {"label": "Max shard size (GB)", "info": "The maximum size for a model file."},
|
||||
"zh": {"label": "最大分块大小（GB）", "info": "单个模型文件的最大大小。"},
|
||||
},
|
||||
"export_quantization_bit": {
|
||||
"en": {
|
||||
"label": "Export quantization bit.",
|
||||
"info": "Quantizing the exported model."
|
||||
},
|
||||
"zh": {
|
||||
"label": "导出量化等级",
|
||||
"info": "量化导出模型。"
|
||||
}
|
||||
"en": {"label": "Export quantization bit.", "info": "Quantizing the exported model."},
|
||||
"zh": {"label": "导出量化等级", "info": "量化导出模型。"},
|
||||
},
|
||||
"export_quantization_dataset": {
|
||||
"en": {
|
||||
"label": "Export quantization dataset.",
|
||||
"info": "The calibration dataset used for quantization."
|
||||
},
|
||||
"zh": {
|
||||
"label": "导出量化数据集",
|
||||
"info": "量化过程中使用的校准数据集。"
|
||||
}
|
||||
"en": {"label": "Export quantization dataset.", "info": "The calibration dataset used for quantization."},
|
||||
"zh": {"label": "导出量化数据集", "info": "量化过程中使用的校准数据集。"},
|
||||
},
|
||||
"export_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。"
|
||||
}
|
||||
"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。"},
|
||||
},
|
||||
"export_btn": {
|
||||
"en": {
|
||||
"value": "Export"
|
||||
},
|
||||
"zh": {
|
||||
"value": "开始导出"
|
||||
}
|
||||
}
|
||||
"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_adapter": {
|
||||
"en": "Please select an adapter.",
|
||||
"zh": "请选择一个适配器。"
|
||||
},
|
||||
"err_no_export_dir": {
|
||||
"en": "Please provide export dir.",
|
||||
"zh": "请填写导出目录"
|
||||
},
|
||||
"err_failed": {
|
||||
"en": "Failed.",
|
||||
"zh": "训练出错。"
|
||||
},
|
||||
"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_adapter": {"en": "Please select an adapter.", "zh": "请选择一个适配器。"},
|
||||
"err_no_export_dir": {"en": "Please provide export dir.", "zh": "请填写导出目录"},
|
||||
"err_failed": {"en": "Failed.", "zh": "训练出错。"},
|
||||
"err_demo": {
|
||||
"en": "Training is unavailable in demo mode, duplicate the space to a private one first.",
|
||||
"zh": "展示模式不支持训练，请先复制到私人空间。"
|
||||
"zh": "展示模式不支持训练，请先复制到私人空间。",
|
||||
},
|
||||
"err_device_count": {
|
||||
"en": "Multiple GPUs are not supported yet.",
|
||||
"zh": "尚不支持多 GPU 训练。"
|
||||
},
|
||||
"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。"
|
||||
}
|
||||
"err_device_count": {"en": "Multiple GPUs are not supported yet.", "zh": "尚不支持多 GPU 训练。"},
|
||||
"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。"},
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user