Release v0.1.6

Former-commit-id: 43c8b3c3c8bfb2e32d17fb3e8b194938e37d54bd
This commit is contained in:
hiyouga
2023-08-11 23:25:57 +08:00
parent 2144bb0e27
commit d5f1b99ac4
18 changed files with 127 additions and 41 deletions

View File

@@ -22,7 +22,12 @@ def create_sft_tab(top_elems: Dict[str, "Component"], runner: "Runner") -> Dict[
dataset_dir.change(list_dataset, [dataset_dir], [dataset])
dataset.change(can_preview, [dataset_dir, dataset], [preview_btn])
preview_btn.click(get_preview, [dataset_dir, dataset], [preview_count, preview_samples, preview_box])
preview_btn.click(
get_preview,
[dataset_dir, dataset],
[preview_count, preview_samples, preview_box],
queue=False
)
with gr.Row():
max_source_length = gr.Slider(value=512, minimum=4, maximum=4096, step=1)
@@ -46,12 +51,14 @@ def create_sft_tab(top_elems: Dict[str, "Component"], runner: "Runner") -> Dict[
save_steps = gr.Slider(value=100, minimum=10, maximum=5000, step=10)
warmup_steps = gr.Slider(value=0, minimum=0, maximum=5000, step=1)
compute_type = gr.Radio(choices=["fp16", "bf16"], value="fp16")
padding_side = gr.Radio(choices=["left", "right"], value="left")
with gr.Accordion(label="LoRA config", open=False) as lora_tab:
with gr.Row():
lora_rank = gr.Slider(value=8, minimum=1, maximum=1024, step=1, scale=1)
lora_dropout = gr.Slider(value=0, minimum=0, maximum=1, step=0.01, scale=1)
lora_dropout = gr.Slider(value=0.1, minimum=0, maximum=1, step=0.01, scale=1)
lora_target = gr.Textbox(scale=2)
resume_lora_training = gr.Checkbox(value=True, scale=1)
with gr.Row():
start_btn = gr.Button()
@@ -59,7 +66,11 @@ def create_sft_tab(top_elems: Dict[str, "Component"], runner: "Runner") -> Dict[
with gr.Row():
with gr.Column(scale=3):
output_dir = gr.Textbox()
with gr.Row():
output_dir = gr.Textbox()
with gr.Row():
process_bar = gr.Slider(visible=False, interactive=False)
with gr.Box():
output_box = gr.Markdown()
@@ -93,16 +104,21 @@ def create_sft_tab(top_elems: Dict[str, "Component"], runner: "Runner") -> Dict[
save_steps,
warmup_steps,
compute_type,
padding_side,
lora_rank,
lora_dropout,
lora_target,
resume_lora_training,
output_dir
],
[output_box]
[
output_box,
process_bar
]
)
stop_btn.click(runner.set_abort, queue=False)
output_box.change(
process_bar.change(
gen_plot, [top_elems["model_name"], top_elems["finetuning_type"], output_dir], loss_viewer, queue=False
)
@@ -128,10 +144,12 @@ def create_sft_tab(top_elems: Dict[str, "Component"], runner: "Runner") -> Dict[
save_steps=save_steps,
warmup_steps=warmup_steps,
compute_type=compute_type,
padding_side=padding_side,
lora_tab=lora_tab,
lora_rank=lora_rank,
lora_dropout=lora_dropout,
lora_target=lora_target,
resume_lora_training=resume_lora_training,
start_btn=start_btn,
stop_btn=stop_btn,
output_dir=output_dir,