Reorganize finetune logs
Browse files- logs/four-a100-gpu.log +218 -0
- nohup.out β logs/single-a10-gpu.log +0 -0
logs/four-a100-gpu.log
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| 1 |
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root@c35059eec1c7:~/alpaca-lora# WORLD_SIZE=4 CUDA_VISIBLE_DEVICES=0,1,2,3 torchrun --nproc_per_node=4 --master_port=3192 finetune.py --base_model '/root/llama-7b-hf/' --data_path './alpaca_data_cleaned.json' --output_dir './lora-alpaca' --batch_size 1024 --micro_batch_size 128
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WARNING:torch.distributed.run:
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*****************************************
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Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
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*****************************************
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===================================BUG REPORT===================================
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| 8 |
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Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
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| 9 |
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================================================================================
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| 10 |
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| 11 |
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===================================BUG REPORT===================================
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Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
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| 13 |
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================================================================================
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| 14 |
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| 15 |
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===================================BUG REPORT===================================
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| 16 |
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Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
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| 17 |
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================================================================================
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| 18 |
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| 19 |
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===================================BUG REPORT===================================
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| 20 |
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Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
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| 21 |
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================================================================================
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| 22 |
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/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/tmp/torchelastic__vgbqj6n/none_m7wuat9y/attempt_0/1/error.json')}
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| 23 |
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warn(msg)
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| 24 |
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CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
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| 25 |
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CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
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| 26 |
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CUDA SETUP: Highest compute capability among GPUs detected: 8.0
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| 27 |
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CUDA SETUP: Detected CUDA version 116
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| 28 |
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CUDA SETUP: Loading binary /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda116.so...
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| 29 |
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/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/tmp/torchelastic__vgbqj6n/none_m7wuat9y/attempt_0/2/error.json')}
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warn(msg)
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| 31 |
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CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
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| 32 |
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CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
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| 33 |
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CUDA SETUP: Highest compute capability among GPUs detected: 8.0
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| 34 |
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CUDA SETUP: Detected CUDA version 116
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| 35 |
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CUDA SETUP: Loading binary /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda116.so...
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| 36 |
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/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/tmp/torchelastic__vgbqj6n/none_m7wuat9y/attempt_0/0/error.json')}
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| 37 |
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warn(msg)
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| 38 |
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CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
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| 39 |
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CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
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| 40 |
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CUDA SETUP: Highest compute capability among GPUs detected: 8.0
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| 41 |
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CUDA SETUP: Detected CUDA version 116
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| 42 |
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CUDA SETUP: Loading binary /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda116.so...
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| 43 |
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/usr/local/lib/python3.10/dist-packages/bitsandbytes/cuda_setup/main.py:136: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/tmp/torchelastic__vgbqj6n/none_m7wuat9y/attempt_0/3/error.json')}
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| 44 |
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warn(msg)
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| 45 |
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CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
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| 46 |
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CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
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| 47 |
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CUDA SETUP: Highest compute capability among GPUs detected: 8.0
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| 48 |
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CUDA SETUP: Detected CUDA version 116
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| 49 |
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CUDA SETUP: Loading binary /usr/local/lib/python3.10/dist-packages/bitsandbytes/libbitsandbytes_cuda116.so...
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| 50 |
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Training Alpaca-LoRA model with params:
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| 51 |
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base_model: /root/llama-7b-hf/
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| 52 |
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data_path: ./alpaca_data_cleaned.json
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| 53 |
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output_dir: ./lora-alpaca
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| 54 |
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batch_size: 1024
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| 55 |
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micro_batch_size: 128
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num_epochs: 3
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| 57 |
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learning_rate: 0.0003
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| 58 |
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cutoff_len: 256
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| 59 |
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val_set_size: 2000
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| 60 |
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lora_r: 8
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lora_alpha: 16
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| 62 |
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lora_dropout: 0.05
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| 63 |
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lora_target_modules: ['q_proj', 'v_proj']
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| 64 |
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train_on_inputs: True
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| 65 |
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group_by_length: False
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| 66 |
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wandb_project:
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| 67 |
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wandb_run_name:
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wandb_watch:
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wandb_log_model:
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| 70 |
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resume_from_checkpoint: None
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| 71 |
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| 72 |
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Training Alpaca-LoRA model with params:
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| 73 |
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base_model: /root/llama-7b-hf/
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| 74 |
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data_path: ./alpaca_data_cleaned.json
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| 75 |
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output_dir: ./lora-alpaca
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| 76 |
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batch_size: 1024
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| 77 |
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micro_batch_size: 128
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| 78 |
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num_epochs: 3
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| 79 |
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learning_rate: 0.0003
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| 80 |
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cutoff_len: 256
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| 81 |
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val_set_size: 2000
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| 82 |
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lora_r: 8
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| 83 |
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lora_alpha: 16
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| 84 |
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lora_dropout: 0.05
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| 85 |
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lora_target_modules: ['q_proj', 'v_proj']
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| 86 |
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train_on_inputs: True
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| 87 |
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group_by_length: False
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| 88 |
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wandb_project:
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| 89 |
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wandb_run_name:
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| 90 |
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wandb_watch:
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| 91 |
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wandb_log_model:
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| 92 |
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resume_from_checkpoint: None
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| 93 |
+
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| 94 |
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Training Alpaca-LoRA model with params:
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| 95 |
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base_model: /root/llama-7b-hf/
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| 96 |
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data_path: ./alpaca_data_cleaned.json
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| 97 |
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output_dir: ./lora-alpaca
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| 98 |
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batch_size: 1024
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| 99 |
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micro_batch_size: 128
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| 100 |
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num_epochs: 3
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| 101 |
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learning_rate: 0.0003
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| 102 |
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cutoff_len: 256
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| 103 |
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val_set_size: 2000
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| 104 |
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lora_r: 8
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| 105 |
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lora_alpha: 16
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| 106 |
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lora_dropout: 0.05
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| 107 |
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lora_target_modules: ['q_proj', 'v_proj']
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| 108 |
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train_on_inputs: True
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| 109 |
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group_by_length: False
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| 110 |
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wandb_project:
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| 111 |
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wandb_run_name:
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| 112 |
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wandb_watch:
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| 113 |
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wandb_log_model:
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| 114 |
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resume_from_checkpoint: None
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| 115 |
+
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| 116 |
+
Training Alpaca-LoRA model with params:
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| 117 |
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base_model: /root/llama-7b-hf/
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| 118 |
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data_path: ./alpaca_data_cleaned.json
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| 119 |
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output_dir: ./lora-alpaca
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| 120 |
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batch_size: 1024
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| 121 |
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micro_batch_size: 128
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| 122 |
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num_epochs: 3
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| 123 |
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learning_rate: 0.0003
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| 124 |
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cutoff_len: 256
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| 125 |
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val_set_size: 2000
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| 126 |
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lora_r: 8
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| 127 |
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lora_alpha: 16
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| 128 |
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lora_dropout: 0.05
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| 129 |
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lora_target_modules: ['q_proj', 'v_proj']
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| 130 |
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train_on_inputs: True
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| 131 |
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group_by_length: False
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| 132 |
+
wandb_project:
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| 133 |
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wandb_run_name:
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| 134 |
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wandb_watch:
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| 135 |
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wandb_log_model:
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| 136 |
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resume_from_checkpoint: None
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| 137 |
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| 138 |
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Loading checkpoint shards: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:10<00:00, 5.12s/it]
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| 139 |
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Loading checkpoint shards: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:10<00:00, 5.28s/it]
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| 140 |
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Found cached dataset json (/root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51)
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| 141 |
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100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1/1 [00:00<00:00, 536.56it/s]
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| 142 |
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trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
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| 143 |
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Loading cached split indices for dataset at /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-014b126db45d32ac.arrow and /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-24bb91d28b1fd433.arrow
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| 144 |
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Loading checkpoint shards: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:10<00:00, 5.35s/it]
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| 145 |
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Map: 1%|ββ | 389/49759 [00:00<00:38, 1294.21 examples/s]Found cached dataset json (/root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51)
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| 146 |
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100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1/1 [00:00<00:00, 554.80it/s]
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| 147 |
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trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
|
| 148 |
+
Loading cached split indices for dataset at /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-014b126db45d32ac.arrow and /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-24bb91d28b1fd433.arrow
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| 149 |
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Map: 1%|ββ | 523/49759 [00:00<00:37, 1309.32 examples/s]Found cached dataset json (/root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51)
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| 150 |
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100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1/1 [00:00<00:00, 374.96it/s]
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| 151 |
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trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
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Loading cached split indices for dataset at /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-014b126db45d32ac.arrow and /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-24bb91d28b1fd433.arrow
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Loading checkpoint shards: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 2/2 [00:12<00:00, 6.13s/it]
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trainable params: 4194304 || all params: 6742609920 || trainable%: 0.06220594176090199
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Loading cached split indices for dataset at /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-014b126db45d32ac.arrow and /root/.cache/huggingface/datasets/json/default-089f33be67988669/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51/cache-24bb91d28b1fd433.arrow
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wandb: Currently logged in as: jeffwan. Use `wandb login --relogin` to force relogin
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wandb: Tracking run with wandb version 0.14.0
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wandb: Run data is saved locally in /root/alpaca-lora/wandb/run-20230328_174559-mzmf7gh8
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wandb: Run `wandb offline` to turn off syncing.
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wandb: Syncing run curious-moon-1
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wandb: βοΈ View project at https://wandb.ai/jeffwan/alpaca
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wandb: π View run at https://wandb.ai/jeffwan/alpaca/runs/mzmf7gh8
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{'loss': 2.2763, 'learning_rate': 2.9999999999999997e-05, 'epoch': 0.2}
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{'loss': 2.1957, 'learning_rate': 5.9999999999999995e-05, 'epoch': 0.41}
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{'loss': 1.9686, 'learning_rate': 8.999999999999999e-05, 'epoch': 0.61}
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{'loss': 1.5397, 'learning_rate': 0.00011999999999999999, 'epoch': 0.82}
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{'loss': 1.2312, 'learning_rate': 0.00015, 'epoch': 1.02}
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{'loss': 1.1251, 'learning_rate': 0.00017999999999999998, 'epoch': 1.22}
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{'loss': 0.9606, 'learning_rate': 0.00020999999999999998, 'epoch': 1.43}
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{'loss': 0.8537, 'learning_rate': 0.00023999999999999998, 'epoch': 1.63}
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{'loss': 0.8412, 'learning_rate': 0.00027, 'epoch': 1.84}
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{'loss': 0.8147, 'learning_rate': 0.00010851063829787234, 'epoch': 2.65}
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{'loss': 0.8147, 'learning_rate': 4.468085106382978e-05, 'epoch': 2.86}
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{'train_runtime': 3187.753, 'train_samples_per_second': 46.828, 'train_steps_per_second': 0.046, 'train_loss': 1.2030427374807344, 'epoch': 3.0}
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wandb: Waiting for W&B process to finish... (success).
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wandb: / 0.015 MB of 0.015 MB uploaded (0.000 MB deduped)
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wandb: Run history:
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wandb: Run summary:
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wandb: train/epoch 3.0
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wandb: train/global_step 147
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wandb: train/learning_rate 4e-05
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wandb: train/loss 0.8147
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wandb: train/total_flos 1.5159002374476923e+18
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wandb: train/train_loss 1.20304
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wandb: train/train_runtime 3187.753
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wandb: train/train_samples_per_second 46.828
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wandb: train/train_steps_per_second 0.046
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wandb:
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wandb: π View run curious-moon-1 at: https://wandb.ai/jeffwan/alpaca/runs/mzmf7gh8
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wandb: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 0 other file(s)
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wandb: Find logs at: ./wandb/run-20230328_174559-mzmf7gh8/logs
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nohup.out β logs/single-a10-gpu.log
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