LiangSong
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4a1e7bb44b
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Optimized the structure of configs, added support for deepspeed stage3, reduced memory usage by using Auto class to load models, and added support for training 65B models.
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2023-05-06 23:37:17 +08:00 |
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LiangSong
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85caa97a6a
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add xP3 dataset and belle_2M
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2023-05-05 17:05:41 +08:00 |
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LiangSong
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f0d41f937b
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update instruct_config and set all random seed to 42
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2023-05-04 08:45:21 +08:00 |
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LiangSong
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f05e929aad
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update config
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2023-05-02 21:42:55 +08:00 |
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LiangSong
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0fdca8b949
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update readme
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2023-04-28 15:01:01 +08:00 |
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LiangSong
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49118aad42
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update header config and add padding to concat_multiple_sequence
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2023-04-27 23:42:11 +08:00 |
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LiangSong
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db6cdb51d0
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unified pre-training and instrcution-tuning both use train_lm and dataset
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2023-04-27 19:42:06 +08:00 |
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LiangSong
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0377b43628
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update tokenizer to LlamaTokenizer
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2023-04-26 18:53:30 +08:00 |
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LiangSong
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f8f4cde228
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using huggingface datasets to accelerate training, using open-llama to pretrain
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2023-04-24 19:13:53 +08:00 |
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LiangSong
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a4aa109dd3
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add trainer and utils
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2023-04-12 17:59:05 +08:00 |
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LiangSong
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ae0691c509
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update utils
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2023-04-12 17:15:40 +08:00 |
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LiangSong
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bc16df4751
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add more instruction data
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2023-04-06 03:45:24 +08:00 |
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LiangSong
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b9bc7eaf35
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fix long seq bug
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2023-03-31 10:12:28 +08:00 |
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LiangSong
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a62ac2658f
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add instruction-tuning
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2023-03-30 23:43:12 +08:00 |
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LiangSong
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918a8cdc3d
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reformat code with black
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2023-03-27 14:34:59 +08:00 |
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LiangSong
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73a81a4205
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add high-performance Llama pre-train code
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2023-03-26 23:59:53 +08:00 |
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