[release] Bye 2025 (#9702)

This commit is contained in:
Yaowei Zheng
2025-12-31 22:22:40 +08:00
committed by GitHub
parent 000526908a
commit 95ac3f2373
59 changed files with 154 additions and 401 deletions

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@@ -1,5 +1,5 @@
### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
model_name_or_path: Qwen/Qwen3-4B-Instruct-2507
trust_remote_code: true
### method
@@ -10,15 +10,14 @@ deepspeed: examples/deepspeed/ds_z3_config.json # choices: [ds_z0_config.json,
### dataset
dataset: identity,alpaca_en_demo
template: llama3
template: qwen3_nothink
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4
### output
output_dir: saves/llama3-8b/full/sft
output_dir: saves/qwen3-4b/full/sft
logging_steps: 10
save_steps: 500
plot_loss: true

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@@ -1,46 +0,0 @@
### model
model_name_or_path: Qwen/Qwen3-32B
trust_remote_code: true
use_v1_kernels: true
### method
stage: sft
do_train: true
finetuning_type: full
deepspeed: examples/deepspeed/ds_z2_autotp_config.json
### dataset
dataset: identity,alpaca_en_demo
template: qwen3
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4
### output
output_dir: saves/qwen3-32b/full/sft_autotp
logging_steps: 1
save_steps: 500
plot_loss: true
overwrite_output_dir: true
save_only_model: false
report_to: none # choices: [none, wandb, tensorboard, swanlab, mlflow]
### train
per_device_train_batch_size: 4
gradient_accumulation_steps: 1
learning_rate: 1.0e-4
num_train_epochs: 3.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
resume_from_checkpoint: null
### eval
# eval_dataset: alpaca_en_demo
# val_size: 0.1
# per_device_eval_batch_size: 1
# eval_strategy: steps
# eval_steps: 500

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@@ -1,5 +1,5 @@
### model
model_name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
model_name_or_path: Qwen/Qwen3-VL-4B-Instruct
image_max_pixels: 262144
video_max_pixels: 16384
trust_remote_code: true
@@ -15,15 +15,14 @@ deepspeed: examples/deepspeed/ds_z3_config.json
### dataset
dataset: mllm_demo,identity,alpaca_en_demo
template: qwen2_vl
template: qwen3_vl_nothink
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4
### output
output_dir: saves/qwen2_5vl-7b/full/sft
output_dir: saves/qwen3-vl-4b/full/sft
logging_steps: 10
save_steps: 500
plot_loss: true