mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-18 12:50:38 +08:00
fix eval in webui
This commit is contained in:
@@ -27,7 +27,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
|
||||
choices=list(TRAINING_STAGES.keys()), value=list(TRAINING_STAGES.keys())[0], scale=1
|
||||
)
|
||||
dataset_dir = gr.Textbox(value=DEFAULT_DATA_DIR, scale=1)
|
||||
dataset = gr.Dropdown(multiselect=True, scale=4)
|
||||
dataset = gr.Dropdown(multiselect=True, allow_custom_value=True, scale=4)
|
||||
preview_elems = create_preview_box(dataset_dir, dataset)
|
||||
|
||||
input_elems.update({training_stage, dataset_dir, dataset})
|
||||
@@ -52,7 +52,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
|
||||
)
|
||||
|
||||
with gr.Row():
|
||||
cutoff_len = gr.Slider(value=1024, minimum=4, maximum=16384, step=1)
|
||||
cutoff_len = gr.Slider(value=1024, minimum=4, maximum=65536, step=1)
|
||||
batch_size = gr.Slider(value=2, minimum=1, maximum=1024, step=1)
|
||||
gradient_accumulation_steps = gr.Slider(value=8, minimum=1, maximum=1024, step=1)
|
||||
val_size = gr.Slider(value=0, minimum=0, maximum=1, step=0.001)
|
||||
|
||||
Reference in New Issue
Block a user