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Training in progress, epoch 1

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132
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134
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135
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wandb/debug.log ADDED
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22
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+ 0%| | 0/2 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
2
+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
3
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4
+ Traceback (most recent call last):
5
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local.py", line 236, in <module>
6
+ train()
7
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local.py", line 223, in train
8
+ trainer.train()
9
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1539, in train
10
+ return inner_training_loop(
11
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1809, in _inner_training_loop
12
+ tr_loss_step = self.training_step(model, inputs)
13
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2665, in training_step
14
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15
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19
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20
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21
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wandb/run-20240208_180020-3wdew33h/files/output.log ADDED
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1
+ 0%| | 0/2 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
2
+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
3
+ warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
4
+ Traceback (most recent call last):
5
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local.py", line 236, in <module>
6
+ train()
7
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local.py", line 223, in train
8
+ trainer.train()
9
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1539, in train
10
+ return inner_training_loop(
11
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1809, in _inner_training_loop
12
+ tr_loss_step = self.training_step(model, inputs)
13
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2665, in training_step
14
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15
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16
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19
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20
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21
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+ 2024-02-08 18:00:21,241 INFO HandlerThread:1998 [system_monitor.py:probe():224] Finished collecting system info
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+ 2024-02-08 18:00:21,241 INFO HandlerThread:1998 [system_monitor.py:probe():227] Publishing system info
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+ 2024-02-08 18:00:21,241 DEBUG HandlerThread:1998 [system_info.py:_save_pip():52] Saving list of pip packages installed into the current environment
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+ 2024-02-08 18:00:21,242 DEBUG HandlerThread:1998 [system_info.py:_save_pip():68] Saving pip packages done
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+ 2024-02-08 18:00:21,242 DEBUG HandlerThread:1998 [system_info.py:_save_conda():75] Saving list of conda packages installed into the current environment
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+ 2024-02-08 18:00:22,105 INFO Thread-12 :1998 [dir_watcher.py:_on_file_created():271] file/dir created: /home/sagemaker-user/output-7b-26k-lora/wandb/run-20240208_180020-3wdew33h/files/requirements.txt
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+ 2024-02-08 18:00:35,540 DEBUG HandlerThread:1998 [system_info.py:_save_conda():87] Saving conda packages done
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+ 2024-02-08 18:00:35,542 INFO HandlerThread:1998 [system_monitor.py:probe():229] Finished publishing system info
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+ 2024-02-08 18:00:35,545 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: status_report
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+ 2024-02-08 18:00:35,545 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: keepalive
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+ 2024-02-08 18:00:35,546 DEBUG SenderThread:1998 [sender.py:send():382] send: files
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+ 2024-02-08 18:00:35,546 INFO SenderThread:1998 [sender.py:_save_file():1392] saving file wandb-metadata.json with policy now
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+ 2024-02-08 18:00:35,550 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: stop_status
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+ 2024-02-08 18:00:35,550 DEBUG SenderThread:1998 [sender.py:send_request():409] send_request: stop_status
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+ 2024-02-08 18:00:35,557 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: internal_messages
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+ 2024-02-08 18:00:35,673 DEBUG SenderThread:1998 [sender.py:send():382] send: telemetry
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+ 2024-02-08 18:00:35,673 DEBUG SenderThread:1998 [sender.py:send():382] send: config
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+ 2024-02-08 18:00:35,674 DEBUG SenderThread:1998 [sender.py:send():382] send: metric
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+ 2024-02-08 18:00:35,674 DEBUG SenderThread:1998 [sender.py:send():382] send: telemetry
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+ 2024-02-08 18:00:35,674 DEBUG SenderThread:1998 [sender.py:send():382] send: metric
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+ 2024-02-08 18:00:35,674 WARNING SenderThread:1998 [sender.py:send_metric():1343] Seen metric with glob (shouldn't happen)
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+ 2024-02-08 18:00:35,893 INFO wandb-upload_0:1998 [upload_job.py:push():131] Uploaded file /tmp/tmp_9e35467wandb/s8xuyfes-wandb-metadata.json
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+ 2024-02-08 18:00:36,108 INFO Thread-12 :1998 [dir_watcher.py:_on_file_created():271] file/dir created: /home/sagemaker-user/output-7b-26k-lora/wandb/run-20240208_180020-3wdew33h/files/wandb-metadata.json
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+ 2024-02-08 18:00:36,534 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: status_report
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+ 2024-02-08 18:00:38,575 DEBUG SenderThread:1998 [sender.py:send():382] send: exit
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+ 2024-02-08 18:00:38,575 INFO SenderThread:1998 [sender.py:send_exit():597] send defer
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+ 2024-02-08 18:00:38,576 INFO SenderThread:1998 [sender.py:transition_state():617] send defer: 1
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+ 2024-02-08 18:00:38,576 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: defer
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+ 2024-02-08 18:00:38,576 INFO HandlerThread:1998 [handler.py:handle_request_defer():172] handle defer: 1
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+ 2024-02-08 18:00:38,576 DEBUG SenderThread:1998 [sender.py:send_request():409] send_request: defer
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+ 2024-02-08 18:00:38,576 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: defer
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72
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+ 2024-02-08 18:00:38,578 DEBUG SystemMonitor:1998 [system_monitor.py:_start():172] Starting system metrics aggregation loop
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+ 2024-02-08 18:00:38,578 DEBUG SystemMonitor:1998 [system_monitor.py:_start():183] Publishing last batch of metrics
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+ 2024-02-08 18:00:38,618 INFO HandlerThread:1998 [interfaces.py:finish():202] Joined gpu monitor
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+ 2024-02-08 18:00:38,618 INFO HandlerThread:1998 [interfaces.py:finish():202] Joined network monitor
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+ 2024-02-08 18:00:38,620 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: defer
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+ 2024-02-08 18:00:38,620 DEBUG SenderThread:1998 [sender.py:send_request():409] send_request: defer
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+ 2024-02-08 18:00:39,575 DEBUG HandlerThread:1998 [handler.py:handle_request():146] handle_request: poll_exit
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1
+ name: base
2
+ channels:
3
+ - file:///tmp/local_conda_forge_artifacts
4
+ - conda-forge
5
+ - defaults
6
+ dependencies:
7
+ - _libgcc_mutex=0.1=conda_forge
8
+ - _openmp_mutex=4.5=2_kmp_llvm
9
+ - _py-xgboost-mutex=2.0=gpu_0
10
+ - absl-py=2.0.0=pyhd8ed1ab_0
11
+ - accelerate=0.21.0=pyhd8ed1ab_0
12
+ - aiobotocore=2.7.0=pyhd8ed1ab_1
13
+ - aiohttp=3.9.1=py310h2372a71_0
14
+ - aioitertools=0.11.0=pyhd8ed1ab_0
15
+ - aiosignal=1.3.1=pyhd8ed1ab_0
16
+ - aiosqlite=0.19.0=pyhd8ed1ab_0
17
+ - alsa-lib=1.2.10=hd590300_0
18
+ - altair=5.2.0=pyhd8ed1ab_0
19
+ - amazon-codewhisperer-jupyterlab-ext=2.0.1=pyhd8ed1ab_0
20
+ - amazon-sagemaker-jupyter-scheduler=3.0.5=pyhd8ed1ab_0
21
+ - ansi2html=1.8.0=py310hff52083_2
22
+ - ansiwrap=0.8.4=py_0
23
+ - antlr-python-runtime=4.9.3=pyhd8ed1ab_1
24
+ - anyio=3.7.1=pyhd8ed1ab_0
25
+ - aom=3.5.0=h27087fc_0
26
+ - appdirs=1.4.4=pyh9f0ad1d_0
27
+ - archspec=0.2.2=pyhd8ed1ab_0
28
+ - argon2-cffi=23.1.0=pyhd8ed1ab_0
29
+ - argon2-cffi-bindings=21.2.0=py310h2372a71_4
30
+ - arrow=1.3.0=pyhd8ed1ab_0
31
+ - astroid=3.0.1=py310hff52083_0
32
+ - asttokens=2.4.1=pyhd8ed1ab_0
33
+ - astunparse=1.6.3=pyhd8ed1ab_0
34
+ - async-lru=2.0.4=pyhd8ed1ab_0
35
+ - async-timeout=4.0.3=pyhd8ed1ab_0
36
+ - atk-1.0=2.38.0=hd4edc92_1
37
+ - attr=2.5.1=h166bdaf_1
38
+ - attrs=23.1.0=pyh71513ae_1
39
+ - autogluon=0.8.2=pyhd8ed1ab_4
40
+ - autogluon.common=0.8.2=pyhd8ed1ab_4
41
+ - autogluon.core=0.8.2=light_py310h2d11d36_6
42
+ - autogluon.features=0.8.2=pyhd8ed1ab_3
43
+ - autogluon.multimodal=0.8.2=pyha770c72_5
44
+ - autogluon.tabular=0.8.2=pyha770c72_4
45
+ - autogluon.timeseries=0.8.2=pyhd8ed1ab_4
46
+ - autopep8=2.0.4=pyhd8ed1ab_0
47
+ - autovizwidget=0.21.0=pyh1a96a4e_0
48
+ - aws-c-auth=0.7.3=h28f7589_1
49
+ - aws-c-cal=0.6.1=hc309b26_1
50
+ - aws-c-common=0.9.0=hd590300_0
51
+ - aws-c-compression=0.2.17=h4d4d85c_2
52
+ - aws-c-event-stream=0.3.1=h2e3709c_4
53
+ - aws-c-http=0.7.11=h00aa349_4
54
+ - aws-c-io=0.13.32=he9a53bd_1
55
+ - aws-c-mqtt=0.9.3=hb447be9_1
56
+ - aws-c-s3=0.3.14=hf3aad02_1
57
+ - aws-c-sdkutils=0.1.12=h4d4d85c_1
58
+ - aws-checksums=0.1.17=h4d4d85c_1
59
+ - aws-crt-cpp=0.21.0=hb942446_5
60
+ - aws-embedded-metrics=3.2.0=pyhd8ed1ab_0
61
+ - aws-glue-sessions=1.0.4=pyhd8ed1ab_0
62
+ - aws-sdk-cpp=1.10.57=h85b1a90_19
63
+ - babel=2.13.1=pyhd8ed1ab_0
64
+ - beautifulsoup4=4.12.2=pyha770c72_0
65
+ - binaryornot=0.4.4=py_1
66
+ - black=23.11.0=py310hff52083_0
67
+ - bleach=6.1.0=pyhd8ed1ab_0
68
+ - blinker=1.7.0=pyhd8ed1ab_0
69
+ - blosc=1.21.5=h0f2a231_0
70
+ - boltons=23.0.0=pyhd8ed1ab_0
71
+ - boto3=1.28.64=pyhd8ed1ab_0
72
+ - botocore=1.31.64=pyhd8ed1ab_0
73
+ - brotli=1.0.9=h166bdaf_9
74
+ - brotli-bin=1.0.9=h166bdaf_9
75
+ - brotli-python=1.0.9=py310hd8f1fbe_9
76
+ - brunsli=0.1=h9c3ff4c_0
77
+ - bzip2=1.0.8=hd590300_5
78
+ - c-ares=1.23.0=hd590300_0
79
+ - c-blosc2=2.11.3=hb4ffafa_0
80
+ - ca-certificates=2023.11.17=hbcca054_0
81
+ - cached-property=1.5.2=hd8ed1ab_1
82
+ - cached_property=1.5.2=pyha770c72_1
83
+ - cachetools=5.3.2=pyhd8ed1ab_0
84
+ - cairo=1.18.0=h3faef2a_0
85
+ - catalogue=2.0.10=py310hff52083_0
86
+ - catboost=1.2.2=py310hff52083_0
87
+ - certifi=2023.11.17=pyhd8ed1ab_0
88
+ - cffi=1.16.0=py310h2fee648_0
89
+ - chardet=5.2.0=py310hff52083_1
90
+ - charls=2.4.2=h59595ed_0
91
+ - charset-normalizer=3.3.2=pyhd8ed1ab_0
92
+ - click=8.1.7=unix_pyh707e725_0
93
+ - cloudpathlib=0.16.0=pyhd8ed1ab_0
94
+ - cloudpickle=2.2.1=pyhd8ed1ab_0
95
+ - colorama=0.4.6=pyhd8ed1ab_0
96
+ - comm=0.1.4=pyhd8ed1ab_0
97
+ - conda=23.11.0=py310hff52083_1
98
+ - conda-libmamba-solver=23.11.1=pyhd8ed1ab_0
99
+ - conda-package-handling=2.2.0=pyh38be061_0
100
+ - conda-package-streaming=0.9.0=pyhd8ed1ab_0
101
+ - confection=0.1.4=py310h17c5347_0
102
+ - contextlib2=21.6.0=pyhd8ed1ab_0
103
+ - contourpy=1.2.0=py310hd41b1e2_0
104
+ - cookiecutter=2.5.0=pyhca7485f_0
105
+ - croniter=1.4.1=pyhd8ed1ab_0
106
+ - cryptography=41.0.7=py310hb8475ec_1
107
+ - cuda-version=11.8=h70ddcb2_2
108
+ - cudatoolkit=11.8.0=h4ba93d1_12
109
+ - cudnn=8.8.0.121=hcdd5f01_4
110
+ - cycler=0.12.1=pyhd8ed1ab_0
111
+ - cymem=2.0.8=py310hc6cd4ac_1
112
+ - cyrus-sasl=2.1.27=h54b06d7_7
113
+ - cython-blis=0.7.10=py310h1f7b6fc_2
114
+ - cytoolz=0.12.2=py310h2372a71_1
115
+ - dash=2.14.2=pyhd8ed1ab_0
116
+ - dask-core=2023.12.0=pyhd8ed1ab_0
117
+ - dataclasses=0.8=pyhc8e2a94_3
118
+ - dataclasses-json=0.6.3=pyhd8ed1ab_0
119
+ - datasets=2.14.7=pyhd8ed1ab_0
120
+ - dav1d=1.2.1=hd590300_0
121
+ - dbus=1.13.6=h5008d03_3
122
+ - debugpy=1.8.0=py310hc6cd4ac_1
123
+ - decorator=5.1.1=pyhd8ed1ab_0
124
+ - deepmerge=1.1.0=pyhd8ed1ab_0
125
+ - defusedxml=0.7.1=pyhd8ed1ab_0
126
+ - dill=0.3.7=pyhd8ed1ab_0
127
+ - distributed=2023.12.0=pyhd8ed1ab_0
128
+ - distro=1.8.0=pyhd8ed1ab_0
129
+ - docker-pycreds=0.4.0=py_0
130
+ - docstring-to-markdown=0.13=pyhd8ed1ab_0
131
+ - entrypoints=0.4=pyhd8ed1ab_0
132
+ - et_xmlfile=1.1.0=pyhd8ed1ab_0
133
+ - evaluate=0.4.1=pyhd8ed1ab_0
134
+ - exceptiongroup=1.2.0=pyhd8ed1ab_0
135
+ - executing=2.0.1=pyhd8ed1ab_0
136
+ - expat=2.5.0=hcb278e6_1
137
+ - faiss=1.7.4=py310h9ed8947_0_cpu
138
+ - faiss-cpu=1.7.4=h718b53a_0
139
+ - fastai=2.7.13=pyhd8ed1ab_0
140
+ - fastcore=1.5.29=pyhd8ed1ab_0
141
+ - fastdownload=0.0.7=pyhd8ed1ab_0
142
+ - fastprogress=1.0.3=pyhd8ed1ab_0
143
+ - filelock=3.13.1=pyhd8ed1ab_0
144
+ - flake8=6.1.0=pyhd8ed1ab_0
145
+ - flask=3.0.0=pyhd8ed1ab_0
146
+ - flatbuffers=23.5.26=h59595ed_1
147
+ - fmt=10.1.1=h00ab1b0_1
148
+ - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
149
+ - font-ttf-inconsolata=3.000=h77eed37_0
150
+ - font-ttf-source-code-pro=2.038=h77eed37_0
151
+ - font-ttf-ubuntu=0.83=h77eed37_1
152
+ - fontconfig=2.14.2=h14ed4e7_0
153
+ - fonts-conda-ecosystem=1=0
154
+ - fonts-conda-forge=1=0
155
+ - fonttools=4.46.0=py310h2372a71_0
156
+ - fqdn=1.5.1=pyhd8ed1ab_0
157
+ - freetype=2.12.1=h267a509_2
158
+ - fribidi=1.0.10=h36c2ea0_0
159
+ - frozenlist=1.4.0=py310h2372a71_1
160
+ - fsspec=2023.6.0=pyh1a96a4e_0
161
+ - future=0.18.3=pyhd8ed1ab_0
162
+ - gast=0.4.0=pyh9f0ad1d_0
163
+ - gdk-pixbuf=2.42.10=h6b639ba_2
164
+ - gdown=4.7.1=pyhd8ed1ab_0
165
+ - gettext=0.21.1=h27087fc_0
166
+ - gflags=2.2.2=he1b5a44_1004
167
+ - giflib=5.2.1=h0b41bf4_3
168
+ - gitdb=4.0.11=pyhd8ed1ab_0
169
+ - gitpython=3.1.40=pyhd8ed1ab_0
170
+ - glib=2.78.3=hfc55251_0
171
+ - glib-tools=2.78.3=hfc55251_0
172
+ - glog=0.6.0=h6f12383_0
173
+ - gluonts=0.13.7=pyhd8ed1ab_0
174
+ - gmp=6.3.0=h59595ed_0
175
+ - gmpy2=2.1.2=py310h3ec546c_1
176
+ - google-api-core=2.15.0=pyhd8ed1ab_0
177
+ - google-auth=2.25.2=pyhca7485f_0
178
+ - google-auth-oauthlib=1.0.0=pyhd8ed1ab_1
179
+ - google-pasta=0.2.0=pyh8c360ce_0
180
+ - googleapis-common-protos=1.62.0=pyhd8ed1ab_0
181
+ - graphite2=1.3.13=h58526e2_1001
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+ - graphviz=8.1.0=h28d9a01_0
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+ - grpcio=1.54.3=py310heca2aa9_0
184
+ - gst-plugins-base=1.22.7=h8e1006c_1
185
+ - gstreamer=1.22.7=h98fc4e7_1
186
+ - gtk2=2.24.33=h90689f9_2
187
+ - gts=0.7.6=h977cf35_4
188
+ - h5py=3.10.0=nompi_py310ha2ad45a_100
189
+ - harfbuzz=8.3.0=h3d44ed6_0
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+ - hdf5=1.14.2=nompi_h4f84152_100
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+ - hdijupyterutils=0.21.0=pyh1a96a4e_0
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+ - huggingface_hub=0.19.4=pyhd8ed1ab_0
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+ - icu=73.2=h59595ed_0
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195
+ - imagecodecs=2023.8.12=py310hc929067_0
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+ - imageio=2.31.5=pyh8c1a49c_0
197
+ - importlib-metadata=6.10.0=pyha770c72_0
198
+ - importlib_metadata=6.10.0=hd8ed1ab_0
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+ - importlib_resources=6.1.1=pyhd8ed1ab_0
200
+ - iniconfig=2.0.0=pyhd8ed1ab_0
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+ - ipykernel=6.26.0=pyhf8b6a83_0
202
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203
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205
+ - isort=5.12.0=pyhd8ed1ab_1
206
+ - itsdangerous=2.1.2=pyhd8ed1ab_0
207
+ - jax=0.4.20=pyhd8ed1ab_0
208
+ - jaxlib=0.4.14=cpu_py310h67d73b5_1
209
+ - jedi=0.19.1=pyhd8ed1ab_0
210
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211
+ - jmespath=1.0.1=pyhd8ed1ab_0
212
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213
+ - json5=0.9.14=pyhd8ed1ab_0
214
+ - jsonpatch=1.33=pyhd8ed1ab_0
215
+ - jsonpath-ng=1.6.0=pyhd8ed1ab_0
216
+ - jsonpointer=2.4=py310hff52083_3
217
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218
+ - jsonschema-with-format-nongpl=4.17.3=pyhd8ed1ab_0
219
+ - jupyter=1.0.0=pyhd8ed1ab_10
220
+ - jupyter-ai=2.6.0=pyhd8ed1ab_2
221
+ - jupyter-ai-magics=2.6.0=pyhd8ed1ab_1
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+ - jupyterlab-lsp=5.0.1=pyhd8ed1ab_0
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+ - jupyterlab_pygments=0.3.0=pyhd8ed1ab_0
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+ - jupyterlab_server=2.24.0=pyhd8ed1ab_0
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+ - jupyterlab_widgets=3.0.9=pyhd8ed1ab_0
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+ - jxrlib=1.1=h7f98852_2
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+ - keras=2.12.0=pyhd8ed1ab_0
241
+ - keras-preprocessing=1.1.2=pyhd8ed1ab_0
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+ - keyutils=1.6.1=h166bdaf_0
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+ - kiwisolver=1.4.5=py310hd41b1e2_1
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+ - lame=3.100=h166bdaf_1003
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+ - langchain=0.0.318=pyhd8ed1ab_0
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+ - langcodes=3.3.0=pyhd8ed1ab_0
247
+ - langsmith=0.0.69=pyhd8ed1ab_0
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+ - lcms2=2.15=haa2dc70_1
249
+ - ld_impl_linux-64=2.40=h41732ed_0
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+ - lerc=4.0.0=h27087fc_0
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+ - libabseil=20230125.3=cxx17_h59595ed_0
252
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254
+ - libarrow=12.0.1=hb87d912_8_cpu
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+ - libavif=0.11.1=h8182462_2
256
+ - libblas=3.9.0=16_linux64_mkl
257
+ - libbrotlicommon=1.0.9=h166bdaf_9
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+ - libbrotlidec=1.0.9=h166bdaf_9
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+ - libbrotlienc=1.0.9=h166bdaf_9
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+ - libcap=2.69=h0f662aa_0
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+ - libcblas=3.9.0=16_linux64_mkl
262
+ - libclang=15.0.7=default_hb11cfb5_4
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+ - libclang13=15.0.7=default_ha2b6cf4_4
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+ - libedit=3.1.20191231=he28a2e2_2
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1
+ 0%| | 0/2 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+ Traceback (most recent call last):
5
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local_latest.py", line 236, in <module>
6
+ train()
7
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local_latest.py", line 223, in train
8
+ trainer.train()
9
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1539, in train
10
+ return inner_training_loop(
11
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 1809, in _inner_training_loop
12
+ tr_loss_step = self.training_step(model, inputs)
13
+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2665, in training_step
14
+ self.accelerator.backward(loss)
15
+ File "/opt/conda/lib/python3.10/site-packages/accelerate/accelerator.py", line 1853, in backward
16
+ loss.backward(**kwargs)
17
+ File "/opt/conda/lib/python3.10/site-packages/torch/_tensor.py", line 487, in backward
18
+ torch.autograd.backward(
19
+ File "/opt/conda/lib/python3.10/site-packages/torch/autograd/__init__.py", line 200, in backward
20
+ Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
21
+ RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
wandb/run-20240208_184521-kk66dbgv/files/requirements.txt ADDED
@@ -0,0 +1,419 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ name: base
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342
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343
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346
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403
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407
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408
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409
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411
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423
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433
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435
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436
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437
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438
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439
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440
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441
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442
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444
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446
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447
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449
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450
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451
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452
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453
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454
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455
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456
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457
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458
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459
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460
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461
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462
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463
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464
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465
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
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484
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485
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486
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487
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488
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491
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492
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493
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494
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495
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496
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497
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498
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499
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500
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501
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502
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503
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504
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505
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506
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507
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508
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509
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510
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511
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512
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513
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514
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515
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516
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517
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518
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519
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
+ - snappy=1.1.10=h9fff704_0
545
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546
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547
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548
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549
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550
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551
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552
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553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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564
+ - tensorboard-data-server=0.7.0=py310h75e40e8_1
565
+ - tensorflow=2.12.1=cuda112py310h457873b_1
566
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567
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568
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569
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570
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571
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572
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573
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574
+ - thrift=0.19.0=py310hc6cd4ac_1
575
+ - thrift_sasl=0.4.3=pyhd8ed1ab_2
576
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577
+ - tiktoken=0.5.2=py310h47bb294_0
578
+ - timm=0.9.12=pyhd8ed1ab_0
579
+ - tinycss2=1.2.1=pyhd8ed1ab_0
580
+ - tk=8.6.13=noxft_h4845f30_101
581
+ - tokenizers=0.13.3=py310he1f1126_0
582
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583
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584
+ - tomlkit=0.12.3=pyha770c72_0
585
+ - toolz=0.12.0=pyhd8ed1ab_0
586
+ - torchmetrics=1.0.3=pyhd8ed1ab_0
587
+ - torchvision=0.15.2=cuda112py310h0801bf5_1
588
+ - tornado=6.3.3=py310h2372a71_1
589
+ - tqdm=4.66.1=pyhd8ed1ab_0
590
+ - traitlets=5.14.0=pyhd8ed1ab_0
591
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592
+ - truststore=0.8.0=pyhd8ed1ab_0
593
+ - typer=0.9.0=pyhd8ed1ab_0
594
+ - types-python-dateutil=2.8.19.14=pyhd8ed1ab_0
595
+ - types-pytz=2023.3.1.1=pyhd8ed1ab_0
596
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597
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598
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599
+ - typing_utils=0.1.0=pyhd8ed1ab_0
600
+ - typish=1.9.3=pyhd8ed1ab_0
601
+ - tzdata=2023c=h71feb2d_0
602
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603
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604
+ - unicodedata2=15.1.0=py310h2372a71_0
605
+ - uri-template=1.3.0=pyhd8ed1ab_0
606
+ - urllib3=1.26.18=pyhd8ed1ab_0
607
+ - wandb=0.16.1=pyhd8ed1ab_0
608
+ - wasabi=1.1.2=py310hff52083_0
609
+ - wcwidth=0.2.12=pyhd8ed1ab_0
610
+ - weasel=0.3.4=pyhd8ed1ab_0
611
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612
+ - webencodings=0.5.1=pyhd8ed1ab_2
613
+ - websocket-client=1.7.0=pyhd8ed1ab_0
614
+ - werkzeug=3.0.1=pyhd8ed1ab_0
615
+ - whatthepatch=1.0.5=pyhd8ed1ab_0
616
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617
+ - widgetsnbextension=4.0.9=pyhd8ed1ab_0
618
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619
+ - wrapt=1.16.0=py310h2372a71_0
620
+ - xcb-util=0.4.0=hd590300_1
621
+ - xcb-util-image=0.4.0=h8ee46fc_1
622
+ - xcb-util-keysyms=0.4.0=h8ee46fc_1
623
+ - xcb-util-renderutil=0.3.9=hd590300_1
624
+ - xcb-util-wm=0.4.1=h8ee46fc_1
625
+ - xgboost=1.7.6=cuda118_py310h9840055_6
626
+ - xkeyboard-config=2.40=hd590300_0
627
+ - xorg-kbproto=1.0.7=h7f98852_1002
628
+ - xorg-libice=1.1.1=hd590300_0
629
+ - xorg-libsm=1.2.4=h7391055_0
630
+ - xorg-libx11=1.8.7=h8ee46fc_0
631
+ - xorg-libxau=1.0.11=hd590300_0
632
+ - xorg-libxdmcp=1.1.3=h7f98852_0
633
+ - xorg-libxext=1.3.4=h0b41bf4_2
634
+ - xorg-libxrender=0.9.11=hd590300_0
635
+ - xorg-renderproto=0.11.1=h7f98852_1002
636
+ - xorg-xextproto=7.3.0=h0b41bf4_1003
637
+ - xorg-xf86vidmodeproto=2.3.1=h7f98852_1002
638
+ - xorg-xproto=7.0.31=h7f98852_1007
639
+ - xxhash=0.8.2=hd590300_0
640
+ - xz=5.2.6=h166bdaf_0
641
+ - yaml=0.2.5=h7f98852_2
642
+ - yaml-cpp=0.8.0=h59595ed_0
643
+ - yapf=0.40.1=pyhd8ed1ab_0
644
+ - yarl=1.9.3=py310h2372a71_0
645
+ - zeromq=4.3.5=h59595ed_0
646
+ - zfp=1.0.0=h59595ed_4
647
+ - zict=3.0.0=pyhd8ed1ab_0
648
+ - zipp=3.17.0=pyhd8ed1ab_0
649
+ - zlib=1.2.13=hd590300_5
650
+ - zlib-ng=2.0.7=h0b41bf4_0
651
+ - zstandard=0.22.0=py310h1275a96_0
652
+ - zstd=1.5.5=hfc55251_0
653
+ - pip:
654
+ - annotated-types==0.6.0
655
+ - greenlet==3.0.1
656
+ - jupyter-scheduler==2.4.0
657
+ - krb5==0.5.1
658
+ - peft==0.8.2
659
+ - pydantic==2.5.1
660
+ - pydantic-core==2.14.3
661
+ - sqlalchemy==1.4.50
662
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+ 0%| | 0/2 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+ /opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
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+ Traceback (most recent call last):
5
+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local_latest.py", line 236, in <module>
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+ train()
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+ File "/home/sagemaker-user/output-7b-26k-lora/../lora_finetuning_push_to_hub_save_local_latest.py", line 223, in train
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+ File "/opt/conda/lib/python3.10/site-packages/transformers/trainer.py", line 2665, in training_step
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+ Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
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+ RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
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