[webui] add seed controls for reproducibility (#10629)

Co-authored-by: Karunanidhi Mishra <11963379+kmishra1204@users.noreply.github.com>
This commit is contained in:
Karunanidhi Mishra
2026-07-07 04:30:09 -05:00
committed by GitHub
parent a61cfa692a
commit 5987a8dd68
9 changed files with 104 additions and 5 deletions

View File

@@ -85,6 +85,7 @@ def create_chat_box(
max_new_tokens = gr.Slider(minimum=8, maximum=8192, value=1024, step=1)
top_p = gr.Slider(minimum=0.01, maximum=1.0, value=0.7, step=0.01)
temperature = gr.Slider(minimum=0.01, maximum=1.5, value=0.95, step=0.01)
seed = gr.Number(value=-1, precision=0)
skip_special_tokens = gr.Checkbox(value=True)
escape_html = gr.Checkbox(value=True)
enable_thinking = gr.Checkbox(value=True)
@@ -110,6 +111,7 @@ def create_chat_box(
max_new_tokens,
top_p,
temperature,
seed,
skip_special_tokens,
escape_html,
enable_thinking,
@@ -135,6 +137,7 @@ def create_chat_box(
max_new_tokens=max_new_tokens,
top_p=top_p,
temperature=temperature,
seed=seed,
skip_special_tokens=skip_special_tokens,
escape_html=escape_html,
enable_thinking=enable_thinking,

View File

@@ -55,10 +55,13 @@ def create_eval_tab(engine: "Engine") -> dict[str, "Component"]:
max_new_tokens = gr.Slider(minimum=8, maximum=4096, value=512, step=1)
top_p = gr.Slider(minimum=0.01, maximum=1, value=0.7, step=0.01)
temperature = gr.Slider(minimum=0.01, maximum=1.5, value=0.95, step=0.01)
eval_seed = gr.Textbox(value="42")
output_dir = gr.Textbox()
input_elems.update({max_new_tokens, top_p, temperature, output_dir})
elem_dict.update(dict(max_new_tokens=max_new_tokens, top_p=top_p, temperature=temperature, output_dir=output_dir))
input_elems.update({max_new_tokens, top_p, temperature, eval_seed, output_dir})
elem_dict.update(
dict(max_new_tokens=max_new_tokens, top_p=top_p, temperature=temperature, eval_seed=eval_seed, output_dir=output_dir)
)
with gr.Row():
cmd_preview_btn = gr.Button()

View File

@@ -52,15 +52,17 @@ def create_train_tab(engine: "Engine") -> dict[str, "Component"]:
learning_rate = gr.Textbox(value="5e-5")
num_train_epochs = gr.Textbox(value="3.0")
max_grad_norm = gr.Textbox(value="1.0")
train_seed = gr.Textbox(value="42")
max_samples = gr.Textbox(value="100000")
compute_type = gr.Dropdown(choices=["bf16", "fp16", "fp32", "pure_bf16"], value="bf16")
input_elems.update({learning_rate, num_train_epochs, max_grad_norm, max_samples, compute_type})
input_elems.update({learning_rate, num_train_epochs, max_grad_norm, train_seed, max_samples, compute_type})
elem_dict.update(
dict(
learning_rate=learning_rate,
num_train_epochs=num_train_epochs,
max_grad_norm=max_grad_norm,
train_seed=train_seed,
max_samples=max_samples,
compute_type=compute_type,
)