| |
| import gradio as gr |
| from typing import Type |
|
|
| from ..base import BaseUI |
|
|
|
|
| class Optimizer(BaseUI): |
|
|
| group = 'llm_train' |
|
|
| locale_dict = { |
| 'galore_tab': { |
| 'label': { |
| 'zh': 'GaLore参数设置', |
| 'en': 'GaLore Settings' |
| }, |
| }, |
| 'use_galore': { |
| 'label': { |
| 'zh': '使用GaLore', |
| 'en': 'Use GaLore' |
| }, |
| 'info': { |
| 'zh': '使用GaLore来减少全参数训练的显存消耗', |
| 'en': 'Use GaLore to reduce GPU memory usage in full parameter training' |
| } |
| }, |
| 'galore_rank': { |
| 'label': { |
| 'zh': 'GaLore的秩', |
| 'en': 'The rank of GaLore' |
| }, |
| }, |
| 'galore_update_proj_gap': { |
| 'label': { |
| 'zh': '投影矩阵更新间隔', |
| 'en': 'Projection matrix update interval' |
| }, |
| 'info': { |
| 'zh': 'GaLore分解矩阵的更新间隔', |
| 'en': 'Update interval of GaLore decomposition matrix' |
| }, |
| }, |
| 'galore_with_embedding': { |
| 'label': { |
| 'zh': '对嵌入层应用GaLore', |
| 'en': 'Use GaLore with embedding' |
| }, |
| 'info': { |
| 'zh': '是否对嵌入层应用GaLore', |
| 'en': 'Whether to apply GaLore to embedding' |
| }, |
| }, |
| 'lorap_tab': { |
| 'label': { |
| 'zh': 'LoRA+参数设置', |
| 'en': 'LoRA+ settings' |
| }, |
| }, |
| 'lorap_lr_ratio': { |
| 'label': { |
| 'zh': 'LoRA+学习率比率', |
| 'en': 'LoRA+ lr ratio' |
| }, |
| 'info': { |
| 'zh': '使用LoRA时指定该参数可使用LoRA+,建议值10~16', |
| 'en': 'When using LoRA, specify this parameter to use LoRA+, and the recommended value is 10 to 16' |
| } |
| }, |
| 'muon_tab': { |
| 'label': { |
| 'zh': 'Muon参数设置', |
| 'en': 'Muon Settings' |
| }, |
| }, |
| 'use_muon': { |
| 'label': { |
| 'zh': '使用Muon', |
| 'en': 'Use Muon' |
| }, |
| 'info': { |
| 'zh': '使用Muon优化器,将在命令行参数中设置`--optimizer muon`', |
| 'en': 'Using the Muon optimizer, set `--optimizer muon` in the command line' |
| } |
| }, |
| 'multimodal_tab': { |
| 'label': { |
| 'zh': '多模态参数设置', |
| 'en': 'Multimodal Settings' |
| }, |
| }, |
| 'vit_lr': { |
| 'label': { |
| 'zh': 'ViT的学习率', |
| 'en': 'Learning rate of ViT' |
| }, |
| }, |
| 'aligner_lr': { |
| 'label': { |
| 'zh': 'Aligner的学习率', |
| 'en': 'Learning rate of aligner' |
| }, |
| }, |
| 'optimizer_params': { |
| 'label': { |
| 'zh': '优化器参数', |
| 'en': 'Optimizer params' |
| }, |
| }, |
| } |
|
|
| tabs_to_filter = { |
| 'galore': ['use_galore', 'galore_with_embedding', 'galore_rank', 'galore_update_proj_gap'], |
| 'lorap': ['lorap_lr_ratio'], |
| 'multimodal': ['vit_lr', 'aligner_lr'], |
| 'muon': ['use_muon'] |
| } |
|
|
| @classmethod |
| def do_build_ui(cls, base_tab: Type['BaseUI']): |
| with gr.Accordion(elem_id='optimizer_params', open=False): |
| with gr.Tabs(): |
| with gr.TabItem(elem_id='galore_tab'): |
| with gr.Row(): |
| gr.Checkbox(elem_id='use_galore', scale=4) |
| gr.Checkbox(elem_id='galore_with_embedding', scale=4) |
| gr.Slider(elem_id='galore_rank', minimum=8, maximum=256, step=8, scale=4) |
| gr.Slider(elem_id='galore_update_proj_gap', minimum=10, maximum=1000, step=50, scale=4) |
| with gr.TabItem(elem_id='lorap_tab'): |
| with gr.Row(): |
| gr.Textbox(elem_id='lorap_lr_ratio', scale=4) |
| with gr.TabItem(elem_id='multimodal_tab'): |
| with gr.Row(): |
| gr.Textbox(elem_id='vit_lr', lines=1, scale=20) |
| gr.Textbox(elem_id='aligner_lr', lines=1, scale=20) |
| with gr.TabItem(elem_id='muon_tab'): |
| with gr.Row(): |
| gr.Checkbox(elem_id='use_muon', scale=4) |
|
|