Upload 7 files
Browse files- train_4800_args/optimizer.pt +3 -0
- train_4800_args/rng_state.pth +3 -0
- train_4800_args/scaler.pt +3 -0
- train_4800_args/scheduler.pt +3 -0
- train_4800_args/session.log +27 -0
- train_4800_args/trainer_state.json +310 -0
- train_4800_args/training_args.bin +3 -0
train_4800_args/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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train_4800_args/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3127aea20eec7db2fcb4d7b7505d6d917ad24359bba61a883f63a4c9e51c4df
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size 14575
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train_4800_args/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bffa96704cd3337e68ccbf054eb33eac1544bc3a84cd3e4d9fbd9ddc4240d2b
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train_4800_args/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:34f37b96fea3116c16b4bc64ed869707f21766c8cccc2a4aed3dbe4d40b65a1f
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size 627
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train_4800_args/session.log
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args = (
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wandb=False
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prompt_type='chat'
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data_path='instruct.zh.jsonl'
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model_path='llama_7b'
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micro_batch=3
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total_batch=32
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log_steps=100
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eval_steps=0
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save_steps=200
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warmup_ratio=0.01
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test_size=0
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resume_from_checkpoint=None
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ignore_data_skip=False
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)
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>>> trainable params: 19988480 || all params: 6758404096 || trainable%: 0.2957573965106688
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***** Running training *****
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Num examples = 51,584
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Num Epochs = 3
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Instantaneous batch size per device = 3
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Total train batch size (w. parallel, distributed & accumulation) = 30
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Gradient Accumulation steps = 10
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Total optimization steps = 4,836
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Number of trainable parameters = 19,988,480
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4836/4836 [41:14:59<00:00, 30.71s/it]
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{'train_runtime': 148499.2028, 'train_samples_per_second': 0.977, 'train_steps_per_second': 0.033, 'train_loss': 0.7752850797671341, 'epoch': 2.81}
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train_4800_args/trainer_state.json
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train_4800_args/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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