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Merge branch 'main' into main

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Former-commit-id: 7be442f37d53a0c6324728fa1fa8e2c84d7f0fa5
This commit is contained in:
hoshi-hiyouga
2024-07-01 21:01:09 +08:00
committed by GitHub
parent 6c185a2c57 973cf8e980
commit a715490c2a
176 changed files with 4760 additions and 1322 deletions
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27
src/llamafactory/webui/components/train.py
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@@ -1,3 +1,17 @@
# Copyright 2024 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING, Dict
from transformers.trainer_utils import SchedulerType
@@ -40,7 +54,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
num_train_epochs = gr.Textbox(value="3.0")
max_grad_norm = gr.Textbox(value="1.0")
max_samples = gr.Textbox(value="100000")
compute_type = gr.Dropdown(choices=["fp16", "bf16", "fp32", "pure_bf16"], value="fp16")
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})
elem_dict.update(
@@ -152,10 +166,9 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
create_new_adapter = gr.Checkbox()
with gr.Row():
with gr.Column(scale=1):
use_rslora = gr.Checkbox()
use_dora = gr.Checkbox()
use_rslora = gr.Checkbox()
use_dora = gr.Checkbox()
use_pissa = gr.Checkbox()
lora_target = gr.Textbox(scale=2)
additional_target = gr.Textbox(scale=2)
@@ -168,6 +181,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
create_new_adapter,
use_rslora,
use_dora,
use_pissa,
lora_target,
additional_target,
}
@@ -182,6 +196,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
create_new_adapter=create_new_adapter,
use_rslora=use_rslora,
use_dora=use_dora,
use_pissa=use_pissa,
lora_target=lora_target,
additional_target=additional_target,
)
@@ -279,7 +294,7 @@ def create_train_tab(engine: "Engine") -> Dict[str, "Component"]:
with gr.Column(scale=1):
loss_viewer = gr.Plot()
input_elems.update({output_dir, config_path, device_count, ds_stage, ds_offload})
input_elems.update({output_dir, config_path, ds_stage, ds_offload})
elem_dict.update(
dict(
cmd_preview_btn=cmd_preview_btn,