100apps
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8b96a1efd9
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fix(train): 解决Windows平台数据加载线程数问题
- 针对Windows系统默认将数据加载线程数设为0，避免多线程兼容性问题
- 保持其他平台默认线程数为8，优化数据加载性能
- 更新相关训练脚本train_pretrain_vlm.py和train_sft_vlm.py中的参数设置
- 修改.gitignore添加dataset目录防止数据误提交
- 在README中补充完整下载数据集的命令示例和说明
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2026-05-11 23:43:45 +08:00 |
jingyaogong
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ff81f88833
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[update] minimind-3v
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2026-04-20 16:54:49 +08:00 |
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jingyaogong
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9c3343dd88
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[update] minimind-3v
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2026-04-19 23:51:48 +08:00 |
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jingyaogong
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f74124f6b9
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[fix] bugs
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2026-04-04 12:43:13 +08:00 |
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jingyaogong
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4bc6524ac2
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[fix] sync minimind
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2026-04-02 16:34:38 +08:00 |
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jingyaogong
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e51dcf0fda
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[update] minimind-3v
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2026-03-26 00:09:02 +08:00 |
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jingyaogong
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33db76fe10
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[update] dataset name
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2026-02-05 00:22:58 +08:00 |
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jingyaogong
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7e094afa59
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[update] shuffle data
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2026-01-18 17:02:24 +08:00 |
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jingyaogong
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326b24727e
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[update] sync minimind
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2026-01-15 21:51:58 +08:00 |
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jingyaogong
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3684285a91
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[feat] support parquet data
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2025-12-27 10:49:50 +08:00 |
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jingyaogong
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32cf4c5c01
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[fix] add gc
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2025-12-27 01:09:33 +08:00 |
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jingyaogong
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13c3a2c093
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[fix] cuda memory
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2025-12-01 16:35:05 +08:00 |
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jingyaogong
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a157b66ace
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[feat] del cuda memory
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2025-11-27 19:37:39 +08:00 |
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jingyaogong
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7605850e1d
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[feat] update args
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2025-10-30 10:50:54 +08:00 |
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jingyaogong
|
778aeb2946
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[feat] update trainer
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2025-10-28 23:34:16 +08:00 |
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jingyaogong
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2ce5c31170
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[feat] update sft
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2025-10-26 21:24:19 +08:00 |
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jingyaogong
|
aebc6fb191
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[feat] pause-training
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2025-10-26 20:54:13 +08:00 |
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jingyaogong
|
4c3b5bacbf
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[fix] 1024-bugs
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2025-10-24 00:35:56 +08:00 |
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jingyaogong
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623a130c34
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250427
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2025-04-27 18:13:22 +08:00 |