Former-commit-id: 3df39f37e1b7988720f36729830889a4c05399b1
This commit is contained in:
hiyouga 2024-10-15 10:10:16 +08:00
parent 92de726102
commit 7ba5488569
2 changed files with 2 additions and 2 deletions

View File

@ -42,7 +42,7 @@ def create_eval_tab(engine: "Engine") -> Dict[str, "Component"]:
elem_dict.update(dict(dataset_dir=dataset_dir, dataset=dataset, **preview_elems))
with gr.Row():
cutoff_len = gr.Slider(minimum=4, maximum=65536, value=1024, step=1)
cutoff_len = gr.Slider(minimum=4, maximum=131072, value=1024, step=1)
max_samples = gr.Textbox(value="100000")
batch_size = gr.Slider(minimum=1, maximum=1024, value=2, step=1)
predict = gr.Checkbox(value=True)

View File

@ -68,7 +68,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
)
with gr.Row():
cutoff_len = gr.Slider(minimum=4, maximum=65536, value=1024, step=1)
cutoff_len = gr.Slider(minimum=4, maximum=131072, value=1024, step=1)
batch_size = gr.Slider(minimum=1, maximum=1024, value=2, step=1)
gradient_accumulation_steps = gr.Slider(minimum=1, maximum=1024, value=8, step=1)
val_size = gr.Slider(minimum=0, maximum=1, value=0, step=0.001)