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- .gitattributes +1 -0
- added_tokens.json +16 -0
- arguments.yaml +51 -0
- chat_template.json +3 -0
- config.json +48 -0
- environ.txt +178 -0
- merges.txt +0 -0
- preprocessor_config.json +29 -0
- pytorch_model.bin +3 -0
- script.sh +74 -0
- special_tokens_map.json +45 -0
- tokenizer.json +0 -0
- tokenizer_config.json +160 -0
- vocab.json +0 -0
- wandb/debug-internal.log +0 -0
- wandb/debug.log +29 -0
- wandb/run-20240921_050939-9z0w7l09/files/conda-environment.yaml +516 -0
- wandb/run-20240921_050939-9z0w7l09/files/config.yaml +112 -0
- wandb/run-20240921_050939-9z0w7l09/files/output.log +206 -0
- wandb/run-20240921_050939-9z0w7l09/files/requirements.txt +325 -0
- wandb/run-20240921_050939-9z0w7l09/files/wandb-metadata.json +1215 -0
- wandb/run-20240921_050939-9z0w7l09/files/wandb-summary.json +1 -0
- wandb/run-20240921_050939-9z0w7l09/logs/debug-internal.log +0 -0
- wandb/run-20240921_050939-9z0w7l09/logs/debug.log +36 -0
- wandb/run-20240921_050939-9z0w7l09/run-9z0w7l09.wandb +0 -0
- wandb/run-20240921_103042-1p62y7m7/files/conda-environment.yaml +516 -0
- wandb/run-20240921_103042-1p62y7m7/files/config.yaml +111 -0
- wandb/run-20240921_103042-1p62y7m7/files/output.log +193 -0
- wandb/run-20240921_103042-1p62y7m7/files/requirements.txt +325 -0
- wandb/run-20240921_103042-1p62y7m7/files/wandb-metadata.json +1215 -0
- wandb/run-20240921_103042-1p62y7m7/files/wandb-summary.json +1 -0
- wandb/run-20240921_103042-1p62y7m7/logs/debug-internal.log +0 -0
- wandb/run-20240921_103042-1p62y7m7/logs/debug.log +29 -0
- wandb/run-20240921_103042-1p62y7m7/run-1p62y7m7.wandb +0 -0
- wandb/run-20240921_111222-4ony16ec/files/conda-environment.yaml +516 -0
- wandb/run-20240921_111222-4ony16ec/files/config.yaml +112 -0
- wandb/run-20240921_111222-4ony16ec/files/output.log +609 -0
- wandb/run-20240921_111222-4ony16ec/files/requirements.txt +325 -0
- wandb/run-20240921_111222-4ony16ec/files/wandb-metadata.json +1215 -0
- wandb/run-20240921_111222-4ony16ec/files/wandb-summary.json +1 -0
- wandb/run-20240921_111222-4ony16ec/logs/debug-internal.log +0 -0
- wandb/run-20240921_111222-4ony16ec/logs/debug.log +36 -0
- wandb/run-20240921_111222-4ony16ec/run-4ony16ec.wandb +3 -0
- wandb/run-20240921_115259-p9bvnzls/files/conda-environment.yaml +516 -0
- wandb/run-20240921_115259-p9bvnzls/files/config.yaml +111 -0
- wandb/run-20240921_115259-p9bvnzls/files/output.log +190 -0
- wandb/run-20240921_115259-p9bvnzls/files/requirements.txt +325 -0
- wandb/run-20240921_115259-p9bvnzls/files/wandb-metadata.json +1215 -0
- wandb/run-20240921_115259-p9bvnzls/files/wandb-summary.json +1 -0
- wandb/run-20240921_115259-p9bvnzls/logs/debug-internal.log +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
wandb/run-20240921_111222-4ony16ec/run-4ony16ec.wandb filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
@@ -0,0 +1,16 @@
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{
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2 |
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"<|box_end|>": 151649,
|
3 |
+
"<|box_start|>": 151648,
|
4 |
+
"<|endoftext|>": 151643,
|
5 |
+
"<|im_end|>": 151645,
|
6 |
+
"<|im_start|>": 151644,
|
7 |
+
"<|image_pad|>": 151655,
|
8 |
+
"<|object_ref_end|>": 151647,
|
9 |
+
"<|object_ref_start|>": 151646,
|
10 |
+
"<|quad_end|>": 151651,
|
11 |
+
"<|quad_start|>": 151650,
|
12 |
+
"<|video_pad|>": 151656,
|
13 |
+
"<|vision_end|>": 151653,
|
14 |
+
"<|vision_pad|>": 151654,
|
15 |
+
"<|vision_start|>": 151652
|
16 |
+
}
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arguments.yaml
ADDED
@@ -0,0 +1,51 @@
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+
data_cfgs:
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2 |
+
eval_data_files: null
|
3 |
+
eval_datasets: null
|
4 |
+
eval_optional_args: []
|
5 |
+
eval_size: null
|
6 |
+
eval_split: null
|
7 |
+
eval_subset: null
|
8 |
+
eval_template: null
|
9 |
+
train_data_files: extracted_preference_1.5k_washed.json
|
10 |
+
train_datasets: /aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted
|
11 |
+
train_optional_args: []
|
12 |
+
train_size: null
|
13 |
+
train_split: train
|
14 |
+
train_subset: null
|
15 |
+
train_template: NExTQA_preference
|
16 |
+
logger_cfgs:
|
17 |
+
cache_dir: null
|
18 |
+
log_project: align-anything
|
19 |
+
log_run_name: dpo
|
20 |
+
log_type: wandb
|
21 |
+
output_dir: ../outputs/dpo_tiv2t_1.5k_base
|
22 |
+
save_interval: 100000
|
23 |
+
model_cfgs:
|
24 |
+
model_max_length: 4096
|
25 |
+
model_name_or_path: /aifs4su/yaodong/models/Qwen2-VL-7B-Instruct
|
26 |
+
trust_remote_code: true
|
27 |
+
special_tokens: null
|
28 |
+
train_cfgs:
|
29 |
+
adam_betas:
|
30 |
+
- 0.9
|
31 |
+
- 0.95
|
32 |
+
bf16: true
|
33 |
+
ds_cfgs: ds_z3_config.json
|
34 |
+
epochs: 3
|
35 |
+
eval_interval: 10
|
36 |
+
eval_strategy: epoch
|
37 |
+
fp16: false
|
38 |
+
freeze_language_model: false
|
39 |
+
freeze_mm_proj: false
|
40 |
+
freeze_vision_tower: true
|
41 |
+
gradient_accumulation_steps: 1.0
|
42 |
+
gradient_checkpointing: true
|
43 |
+
learning_rate: 1.0e-06
|
44 |
+
lr_scheduler_type: cosine
|
45 |
+
lr_warmup_ratio: 0.01
|
46 |
+
per_device_eval_batch_size: 1.0
|
47 |
+
per_device_train_batch_size: 1.0
|
48 |
+
regularization: 0.001
|
49 |
+
scale_coeff: 0.1
|
50 |
+
seed: 42
|
51 |
+
weight_decay: 0.0
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chat_template.json
ADDED
@@ -0,0 +1,3 @@
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{
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
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3 |
+
}
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config.json
ADDED
@@ -0,0 +1,48 @@
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+
{
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2 |
+
"_name_or_path": "/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2VLForConditionalGeneration"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 128245,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 3584,
|
11 |
+
"image_token_id": 151655,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 18944,
|
14 |
+
"max_position_embeddings": 32768,
|
15 |
+
"max_window_layers": 28,
|
16 |
+
"model_type": "qwen2_vl",
|
17 |
+
"num_attention_heads": 28,
|
18 |
+
"num_hidden_layers": 28,
|
19 |
+
"num_key_value_heads": 4,
|
20 |
+
"pad_token_id": 151643,
|
21 |
+
"rms_norm_eps": 1e-06,
|
22 |
+
"rope_scaling": {
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23 |
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"mrope_section": [
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24 |
+
16,
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25 |
+
24,
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26 |
+
24
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],
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28 |
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"rope_type": "default",
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29 |
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"type": "default"
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+
},
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31 |
+
"rope_theta": 1000000.0,
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32 |
+
"sliding_window": 32768,
|
33 |
+
"tie_word_embeddings": false,
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34 |
+
"torch_dtype": "bfloat16",
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35 |
+
"transformers_version": "4.45.0.dev0",
|
36 |
+
"use_cache": true,
|
37 |
+
"use_sliding_window": false,
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38 |
+
"video_token_id": 151656,
|
39 |
+
"vision_config": {
|
40 |
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"in_chans": 3,
|
41 |
+
"model_type": "qwen2_vl",
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42 |
+
"spatial_patch_size": 14
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43 |
+
},
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44 |
+
"vision_end_token_id": 151653,
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45 |
+
"vision_start_token_id": 151652,
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46 |
+
"vision_token_id": 151654,
|
47 |
+
"vocab_size": 151657
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48 |
+
}
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environ.txt
ADDED
@@ -0,0 +1,178 @@
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1 |
+
BASH_FUNC__module_raw%%=() { unset _mlshdbg;
|
2 |
+
if [ "${MODULES_SILENT_SHELL_DEBUG:-0}" = '1' ]; then
|
3 |
+
case "$-" in
|
4 |
+
*v*x*)
|
5 |
+
set +vx;
|
6 |
+
_mlshdbg='vx'
|
7 |
+
;;
|
8 |
+
*v*)
|
9 |
+
set +v;
|
10 |
+
_mlshdbg='v'
|
11 |
+
;;
|
12 |
+
*x*)
|
13 |
+
set +x;
|
14 |
+
_mlshdbg='x'
|
15 |
+
;;
|
16 |
+
*)
|
17 |
+
_mlshdbg=''
|
18 |
+
;;
|
19 |
+
esac;
|
20 |
+
fi;
|
21 |
+
unset _mlre _mlIFS;
|
22 |
+
if [ -n "${IFS+x}" ]; then
|
23 |
+
_mlIFS=$IFS;
|
24 |
+
fi;
|
25 |
+
IFS=' ';
|
26 |
+
for _mlv in ${MODULES_RUN_QUARANTINE:-};
|
27 |
+
do
|
28 |
+
if [ "${_mlv}" = "${_mlv##*[!A-Za-z0-9_]}" -a "${_mlv}" = "${_mlv#[0-9]}" ]; then
|
29 |
+
if [ -n "`eval 'echo ${'$_mlv'+x}'`" ]; then
|
30 |
+
_mlre="${_mlre:-}${_mlv}_modquar='`eval 'echo ${'$_mlv'}'`' ";
|
31 |
+
fi;
|
32 |
+
_mlrv="MODULES_RUNENV_${_mlv}";
|
33 |
+
_mlre="${_mlre:-}${_mlv}='`eval 'echo ${'$_mlrv':-}'`' ";
|
34 |
+
fi;
|
35 |
+
done;
|
36 |
+
if [ -n "${_mlre:-}" ]; then
|
37 |
+
eval `eval ${_mlre} /usr/bin/tclsh /cm/local/apps/environment-modules/4.5.3/libexec/modulecmd.tcl bash '"$@"'`;
|
38 |
+
else
|
39 |
+
eval `/usr/bin/tclsh /cm/local/apps/environment-modules/4.5.3/libexec/modulecmd.tcl bash "$@"`;
|
40 |
+
fi;
|
41 |
+
_mlstatus=$?;
|
42 |
+
if [ -n "${_mlIFS+x}" ]; then
|
43 |
+
IFS=$_mlIFS;
|
44 |
+
else
|
45 |
+
unset IFS;
|
46 |
+
fi;
|
47 |
+
unset _mlre _mlv _mlrv _mlIFS;
|
48 |
+
if [ -n "${_mlshdbg:-}" ]; then
|
49 |
+
set -$_mlshdbg;
|
50 |
+
fi;
|
51 |
+
unset _mlshdbg;
|
52 |
+
return $_mlstatus
|
53 |
+
}
|
54 |
+
BASH_FUNC_ml%%=() { module ml "$@"
|
55 |
+
}
|
56 |
+
BASH_FUNC_module%%=() { _module_raw "$@" 2>&1
|
57 |
+
}
|
58 |
+
BASH_FUNC_switchml%%=() { typeset swfound=1;
|
59 |
+
if [ "${MODULES_USE_COMPAT_VERSION:-0}" = '1' ]; then
|
60 |
+
typeset swname='main';
|
61 |
+
if [ -e /cm/local/apps/environment-modules/4.5.3/libexec/modulecmd.tcl ]; then
|
62 |
+
typeset swfound=0;
|
63 |
+
unset MODULES_USE_COMPAT_VERSION;
|
64 |
+
fi;
|
65 |
+
else
|
66 |
+
typeset swname='compatibility';
|
67 |
+
if [ -e /cm/local/apps/environment-modules/4.5.3/libexec/modulecmd-compat ]; then
|
68 |
+
typeset swfound=0;
|
69 |
+
MODULES_USE_COMPAT_VERSION=1;
|
70 |
+
export MODULES_USE_COMPAT_VERSION;
|
71 |
+
fi;
|
72 |
+
fi;
|
73 |
+
if [ $swfound -eq 0 ]; then
|
74 |
+
echo "Switching to Modules $swname version";
|
75 |
+
source /cm/local/apps/environment-modules/4.5.3/init/bash;
|
76 |
+
else
|
77 |
+
echo "Cannot switch to Modules $swname version, command not found";
|
78 |
+
return 1;
|
79 |
+
fi
|
80 |
+
}
|
81 |
+
BROWSER=/home/yangyaodong/.vscode-server/cli/servers/Stable-38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40/server/bin/helpers/browser.sh
|
82 |
+
CMD_WLM_CLUSTER_NAME=slurm
|
83 |
+
COLORTERM=truecolor
|
84 |
+
CONDA_DEFAULT_ENV=hantao_tiv
|
85 |
+
CONDA_EXE=/aifs4su/yaodong/miniconda3/bin/conda
|
86 |
+
CONDA_MKL_INTERFACE_LAYER_BACKUP=
|
87 |
+
CONDA_PREFIX=/aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
88 |
+
CONDA_PREFIX_1=/aifs4su/yaodong/miniconda3
|
89 |
+
CONDA_PREFIX_2=/aifs4su/yaodong/miniconda3/envs/hantao_new
|
90 |
+
CONDA_PROMPT_MODIFIER=(hantao_tiv)
|
91 |
+
CONDA_PYTHON_EXE=/aifs4su/yaodong/miniconda3/bin/python
|
92 |
+
CONDA_SHLVL=3
|
93 |
+
CPATH=/cm/shared/apps/slurm/current/include
|
94 |
+
CPATH_modshare=/cm/shared/apps/slurm/current/include:1
|
95 |
+
CROSS_RANK=0
|
96 |
+
CROSS_SIZE=1
|
97 |
+
CUDA_HOME=/aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
98 |
+
CUDA_MODULE_LOADING=LAZY
|
99 |
+
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
|
100 |
+
DBUS_SESSION_BUS_ADDRESS=unix:path=/run/user/1028/bus
|
101 |
+
ENABLE_LMOD=0
|
102 |
+
GIT_ASKPASS=/home/yangyaodong/.vscode-server/cli/servers/Stable-38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40/server/extensions/git/dist/askpass.sh
|
103 |
+
GSETTINGS_SCHEMA_DIR=/aifs4su/yaodong/miniconda3/envs/hantao_tiv/share/glib-2.0/schemas
|
104 |
+
GSETTINGS_SCHEMA_DIR_CONDA_BACKUP=
|
105 |
+
HOME=/home/yangyaodong
|
106 |
+
KMP_DUPLICATE_LIB_OK=True
|
107 |
+
KMP_INIT_AT_FORK=FALSE
|
108 |
+
LANG=C.UTF-8
|
109 |
+
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/mpi/gcc/openmpi-4.1.7a1/lib:/usr/local/cuda/lib64:/usr/local/cuda/lib64:/cm/shared/apps/slurm/current/lib64/slurm:/cm/shared/apps/slurm/current/lib64
|
110 |
+
LD_LIBRARY_PATH_modshare=/cm/shared/apps/slurm/current/lib64:1:/usr/mpi/gcc/openmpi-4.1.7a1/lib:1:/cm/shared/apps/slurm/current/lib64/slurm:1:/usr/local/cuda/lib64:1
|
111 |
+
LD_RUN_PATH=/usr/mpi/gcc/openmpi-4.1.7a1/lib
|
112 |
+
LD_RUN_PATH_modshare=/usr/mpi/gcc/openmpi-4.1.7a1/lib:1
|
113 |
+
LESSCLOSE=/usr/bin/lesspipe %s %s
|
114 |
+
LESSOPEN=| /usr/bin/lesspipe %s
|
115 |
+
LIBRARY_PATH=/cm/shared/apps/slurm/current/lib64/slurm:/cm/shared/apps/slurm/current/lib64
|
116 |
+
LIBRARY_PATH_modshare=/cm/shared/apps/slurm/current/lib64:1:/cm/shared/apps/slurm/current/lib64/slurm:1
|
117 |
+
LOADEDMODULES=slurm/slurm/23.02.6:gcc/64/4.1.7a1
|
118 |
+
LOADEDMODULES_modshare=slurm/slurm/23.02.6:1:gcc/64/4.1.7a1:1
|
119 |
+
LOCAL_RANK=0
|
120 |
+
LOCAL_SIZE=8
|
121 |
+
LOGLEVEL=WARNING
|
122 |
+
LOGNAME=yangyaodong
|
123 |
+
LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=00:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arc=01;31:*.arj=01;31:*.taz=01;31:*.lha=01;31:*.lz4=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.tzo=01;31:*.t7z=01;31:*.zip=01;31:*.z=01;31:*.dz=01;31:*.gz=01;31:*.lrz=01;31:*.lz=01;31:*.lzo=01;31:*.xz=01;31:*.zst=01;31:*.tzst=01;31:*.bz2=01;31:*.bz=01;31:*.tbz=01;31:*.tbz2=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.war=01;31:*.ear=01;31:*.sar=01;31:*.rar=01;31:*.alz=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.cab=01;31:*.wim=01;31:*.swm=01;31:*.dwm=01;31:*.esd=01;31:*.jpg=01;35:*.jpeg=01;35:*.mjpg=01;35:*.mjpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.webm=01;35:*.webp=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=00;36:*.au=00;36:*.flac=00;36:*.m4a=00;36:*.mid=00;36:*.midi=00;36:*.mka=00;36:*.mp3=00;36:*.mpc=00;36:*.ogg=00;36:*.ra=00;36:*.wav=00;36:*.oga=00;36:*.opus=00;36:*.spx=00;36:*.xspf=00;36:
|
124 |
+
MANPATH=/usr/mpi/gcc/openmpi-4.1.7a1/share/man:/cm/shared/apps/slurm/current/man:/cm/local/apps/environment-modules/4.5.3/share/man:/usr/local/man:/usr/local/share/man:/usr/share/man:/cm/local/apps/environment-modules/current/share/man:/cm/local/apps/environment-modules/current/share/man:/cm/local/apps/environment-modules/current/share/man
|
125 |
+
MANPATH_modshare=/usr/local/share/man:1:/usr/mpi/gcc/openmpi-4.1.7a1/share/man:1:/cm/local/apps/environment-modules/current/share/man:1:/cm/local/apps/environment-modules/4.5.3/share/man:1:/usr/local/man:1:/usr/share/man:1:/cm/shared/apps/slurm/current/man:1
|
126 |
+
MASTER_ADDR=127.0.0.1
|
127 |
+
MASTER_PORT=16688
|
128 |
+
MIG_PARTED_CHECKPOINT_FILE=/var/lib/nvidia-mig-manager/checkpoint.json
|
129 |
+
MIG_PARTED_CONFIG_FILE=/etc/nvidia-mig-manager/config.yaml
|
130 |
+
MIG_PARTED_HOOKS_FILE=/etc/nvidia-mig-manager/hooks.yaml
|
131 |
+
MKL_INTERFACE_LAYER=LP64,GNU
|
132 |
+
MODULEPATH=/cm/local/modulefiles:/cm/shared/modulefiles
|
133 |
+
MODULESHOME=/cm/local/apps/environment-modules/4.5.3
|
134 |
+
MODULES_CMD=/cm/local/apps/environment-modules/4.5.3/libexec/modulecmd.tcl
|
135 |
+
MODULES_SET_SHELL_STARTUP=0
|
136 |
+
MOTD_SHOWN=pam
|
137 |
+
MPI_HOME=/usr/mpi/gcc/openmpi-4.1.7a1
|
138 |
+
MPI_RUN=/usr/mpi/gcc/openmpi-4.1.7a1/bin/mpirun
|
139 |
+
OLDPWD=/home/yangyaodong
|
140 |
+
PATH=/home/yangyaodong/.local/bin:/usr/local/cuda/bin:/usr/lpp/mmfs/bin:/usr/local/cuda/bin:/opt/bin:/home/yangyaodong/.local/bin:/aifs4su/yaodong/google-cloud-sdk/bin:/aifs4su/yaodong/miniconda3/envs/hantao_tiv/bin:/aifs4su/yaodong/miniconda3/condabin:/usr/mpi/gcc/openmpi-4.1.7a1/bin:/usr/local/cuda/bin:/usr/lpp/mmfs/bin:/cm/shared/apps/slurm/current/sbin:/cm/shared/apps/slurm/current/bin:/usr/local/cuda/bin:/opt/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/sbin:/usr/sbin:/cm/local/apps/environment-modules/4.5.3/bin
|
141 |
+
PATH_modshare=/usr/mpi/gcc/openmpi-4.1.7a1/bin:1:/opt/bin/:1:/usr/bin:1:/usr/local/bin:1:/cm/shared/apps/slurm/current/bin:1:/cm/shared/apps/slurm/current/sbin:1:/bin:1:/snap/bin:1:/sbin:1:/home/yangyaodong/.vscode-server/cli/servers/Stable-38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40/server/bin/remote-cli:1:/usr/sbin:1:/cm/local/apps/environment-modules/4.5.3/bin:1:/usr/games:1:/usr/local/sbin:1:/usr/lpp/mmfs/bin:1:/usr/local/cuda/bin:1:/usr/local/games:1
|
142 |
+
PWD=/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/scripts
|
143 |
+
PYTHONHASHSEED=42
|
144 |
+
PYTHONPATH=/aifs4su/yaodong/projects/hantao/dev_cham/align-anything:/aifs4su/yaodong/projects/hantao/dev_cham/align-anything
|
145 |
+
RANK=0
|
146 |
+
SHELL=/bin/bash
|
147 |
+
SHLVL=5
|
148 |
+
SLURM_CONF=/cm/shared/apps/slurm/var/etc/slurm/slurm.conf
|
149 |
+
SSH_CLIENT=10.33.4.51 60672 22
|
150 |
+
SSH_CONNECTION=10.33.4.51 35276 10.33.5.36 22
|
151 |
+
SSL_CERT_DIR=/usr/lib/ssl/certs
|
152 |
+
SSL_CERT_FILE=/usr/lib/ssl/certs/ca-certificates.crt
|
153 |
+
TERM=screen
|
154 |
+
TERM_PROGRAM=tmux
|
155 |
+
TERM_PROGRAM_VERSION=3.2a
|
156 |
+
TMUX=/tmp/tmux-1028/default,1661839,139
|
157 |
+
TMUX_PANE=%139
|
158 |
+
TRITON_CACHE_DIR=/aifs4su/yaodong/cache/triton
|
159 |
+
USER=yangyaodong
|
160 |
+
VSCODE_GIT_ASKPASS_EXTRA_ARGS=
|
161 |
+
VSCODE_GIT_ASKPASS_MAIN=/home/yangyaodong/.vscode-server/cli/servers/Stable-38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40/server/extensions/git/dist/askpass-main.js
|
162 |
+
VSCODE_GIT_ASKPASS_NODE=/home/yangyaodong/.vscode-server/cli/servers/Stable-38c31bc77e0dd6ae88a4e9cc93428cc27a56ba40/server/node
|
163 |
+
VSCODE_GIT_IPC_HANDLE=/run/user/1028/vscode-git-ba18af3aed.sock
|
164 |
+
VSCODE_IPC_HOOK_CLI=/run/user/1028/vscode-ipc-57558741-0df8-4930-ba26-d5e7527b0cd8.sock
|
165 |
+
WANDB_API_KEY=547f38af44135ca76a4f4eed9c8d135532da4960
|
166 |
+
WANDB_SERVICE=2-1311189-tcp-localhost-38981
|
167 |
+
WORLD_SIZE=8
|
168 |
+
XDG_DATA_DIRS=/usr/local/share:/usr/share:/var/lib/snapd/desktop
|
169 |
+
XDG_RUNTIME_DIR=/run/user/1028
|
170 |
+
XDG_SESSION_CLASS=user
|
171 |
+
XDG_SESSION_ID=2362
|
172 |
+
XDG_SESSION_TYPE=tty
|
173 |
+
XML_CATALOG_FILES=file:///aifs4su/yaodong/miniconda3/envs/hantao_tiv/etc/xml/catalog file:///etc/xml/catalog
|
174 |
+
_=/aifs4su/yaodong/miniconda3/envs/hantao_tiv/bin/deepspeed
|
175 |
+
_CE_CONDA=
|
176 |
+
_CE_M=
|
177 |
+
_LMFILES_=/cm/local/modulefiles/slurm/slurm/23.02.6:/cm/local/modulefiles/gcc/64/4.1.7a1
|
178 |
+
_LMFILES__modshare=/cm/local/modulefiles/slurm/slurm/23.02.6:1:/cm/local/modulefiles/gcc/64/4.1.7a1:1
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": true,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.48145466,
|
8 |
+
0.4578275,
|
9 |
+
0.40821073
|
10 |
+
],
|
11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
14 |
+
0.26130258,
|
15 |
+
0.27577711
|
16 |
+
],
|
17 |
+
"max_pixels": 1003520,
|
18 |
+
"merge_size": 2,
|
19 |
+
"min_pixels": 3136,
|
20 |
+
"patch_size": 14,
|
21 |
+
"processor_class": "Qwen2VLProcessor",
|
22 |
+
"resample": 3,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"max_pixels": 1003520,
|
26 |
+
"min_pixels": 3136
|
27 |
+
},
|
28 |
+
"temporal_patch_size": 2
|
29 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a4f7d3d8412de5afaa7d62729bd2e5112c53cd04082eeac24c897e27382ae616
|
3 |
+
size 16577151950
|
script.sh
ADDED
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#!/usr/bin/env bash
|
2 |
+
#
|
3 |
+
# Copyright 2024 PKU-Alignment Team. All Rights Reserved.
|
4 |
+
#
|
5 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
6 |
+
# you may not use this file except in compliance with the License.
|
7 |
+
# You may obtain a copy of the License at
|
8 |
+
#
|
9 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
10 |
+
#
|
11 |
+
# Unless required by applicable law or agreed to in writing, software
|
12 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
13 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
14 |
+
# See the License for the specific language governing permissions and
|
15 |
+
# limitations under the License.
|
16 |
+
# ==============================================================================
|
17 |
+
|
18 |
+
export TRITON_CACHE_DIR="/aifs4su/yaodong/cache/triton"
|
19 |
+
# You can replace it with a local model path
|
20 |
+
MODEL_NAME_OR_PATH="/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct"
|
21 |
+
# You can replace it with a local dataset path
|
22 |
+
TRAIN_DATASETS="/aifs4su/yaodong/projects/hantao/lang_feedback/video/outputs"
|
23 |
+
EVAL_DATASETS="/aifs4su/yaodong/datasets/ShareGPTVideo/extracted/split"
|
24 |
+
# You can replace it with a new path
|
25 |
+
OUTPUT_DIR="../outputs/dpo_tiv2t_1.5k_cai"
|
26 |
+
# For wandb online logging
|
27 |
+
export WANDB_API_KEY="547f38af44135ca76a4f4eed9c8d135532da4960"
|
28 |
+
# Source the setup script
|
29 |
+
source ./setup.sh
|
30 |
+
|
31 |
+
export CUDA_HOME=$CONDA_PREFIX
|
32 |
+
|
33 |
+
# Execute deepspeed command
|
34 |
+
deepspeed \
|
35 |
+
--master_port ${MASTER_PORT} \
|
36 |
+
--module align_anything.trainers.tiv_to_t.dpo \
|
37 |
+
--model_name_or_path ${MODEL_NAME_OR_PATH} \
|
38 |
+
--train_datasets ${TRAIN_DATASETS} \
|
39 |
+
--output_dir ${OUTPUT_DIR} \
|
40 |
+
--train_data_files cai_gen_outputs_batch_gen_washed_valid_clean_same.json \
|
41 |
+
--train_template NExTQA_preference \
|
42 |
+
--train_split 'train' \
|
43 |
+
--per_device_train_batch_size 1 \
|
44 |
+
--per_device_eval_batch_size 1 \
|
45 |
+
--gradient_accumulation_steps 1
|
46 |
+
|
47 |
+
export TRITON_CACHE_DIR="/aifs4su/yaodong/cache/triton"
|
48 |
+
# You can replace it with a local model path
|
49 |
+
MODEL_NAME_OR_PATH="/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct"
|
50 |
+
# You can replace it with a local dataset path
|
51 |
+
TRAIN_DATASETS="/aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted"
|
52 |
+
EVAL_DATASETS="/aifs4su/yaodong/datasets/ShareGPTVideo/extracted/split"
|
53 |
+
# You can replace it with a new path
|
54 |
+
OUTPUT_DIR="../outputs/dpo_tiv2t_1.5k_base"
|
55 |
+
# For wandb online logging
|
56 |
+
export WANDB_API_KEY="547f38af44135ca76a4f4eed9c8d135532da4960"
|
57 |
+
# Source the setup script
|
58 |
+
source ./setup.sh
|
59 |
+
|
60 |
+
export CUDA_HOME=$CONDA_PREFIX
|
61 |
+
|
62 |
+
# Execute deepspeed command
|
63 |
+
deepspeed \
|
64 |
+
--master_port ${MASTER_PORT} \
|
65 |
+
--module align_anything.trainers.tiv_to_t.dpo \
|
66 |
+
--model_name_or_path ${MODEL_NAME_OR_PATH} \
|
67 |
+
--train_datasets ${TRAIN_DATASETS} \
|
68 |
+
--output_dir ${OUTPUT_DIR} \
|
69 |
+
--train_data_files extracted_preference_1.5k_washed.json \
|
70 |
+
--train_template NExTQA_preference \
|
71 |
+
--train_split 'train' \
|
72 |
+
--per_device_train_batch_size 1 \
|
73 |
+
--per_device_eval_batch_size 1 \
|
74 |
+
--gradient_accumulation_steps 1
|
special_tokens_map.json
ADDED
@@ -0,0 +1,45 @@
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tokenizer.json
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tokenizer_config.json
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],
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
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|
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"eos_token": "<|im_end|>",
|
152 |
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"errors": "replace",
|
153 |
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"model_max_length": 4096,
|
154 |
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"pad_token": "<|endoftext|>",
|
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"padding_side": "left",
|
156 |
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"processor_class": "Qwen2VLProcessor",
|
157 |
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"split_special_tokens": false,
|
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"tokenizer_class": "Qwen2Tokenizer",
|
159 |
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"unk_token": "<unk>"
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}
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vocab.json
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wandb/debug-internal.log
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wandb/debug.log
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2024-09-21 11:52:59,195 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Current SDK version is 0.17.5
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Configure stats pid to 1311189
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Loading settings from /home/yangyaodong/.config/wandb/settings
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Loading settings from /aifs4su/yaodong/projects/hantao/dev_cham/align-anything/scripts/wandb/settings
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Loading settings from environment variables: {'api_key': '***REDACTED***'}
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Applying setup settings: {'_disable_service': False}
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2024-09-21 11:52:59,196 WARNING MainThread:1311189 [wandb_setup.py:_flush():76] Could not find program at -m align_anything.trainers.tiv_to_t.dpo
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Inferring run settings from compute environment: {'program_relpath': None, 'program': '-m align_anything.trainers.tiv_to_t.dpo'}
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_setup.py:_flush():76] Applying login settings: {}
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_init.py:_log_setup():529] Logging user logs to ../outputs/dpo_tiv2t_1.5k_base/wandb/run-20240921_115259-p9bvnzls/logs/debug.log
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_init.py:_log_setup():530] Logging internal logs to ../outputs/dpo_tiv2t_1.5k_base/wandb/run-20240921_115259-p9bvnzls/logs/debug-internal.log
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2024-09-21 11:52:59,196 INFO MainThread:1311189 [wandb_init.py:init():569] calling init triggers
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2024-09-21 11:52:59,197 INFO MainThread:1311189 [wandb_init.py:init():576] wandb.init called with sweep_config: {}
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14 |
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config: {'train_cfgs': {'ds_cfgs': 'ds_z3_config.json', 'epochs': 3, 'seed': 42, 'per_device_train_batch_size': 1.0, 'per_device_eval_batch_size': 1.0, 'gradient_accumulation_steps': 1.0, 'gradient_checkpointing': True, 'learning_rate': 1e-06, 'lr_scheduler_type': 'cosine', 'lr_warmup_ratio': 0.01, 'weight_decay': 0.0, 'adam_betas': [0.9, 0.95], 'bf16': True, 'fp16': False, 'eval_strategy': 'epoch', 'eval_interval': 10, 'regularization': 0.001, 'scale_coeff': 0.1, 'freeze_mm_proj': False, 'freeze_vision_tower': True, 'freeze_language_model': False}, 'data_cfgs': {'train_datasets': '/aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted', 'train_template': 'NExTQA_preference', 'train_size': None, 'train_split': 'train', 'train_subset': None, 'train_data_files': 'extracted_preference_1.5k_washed.json', 'train_optional_args': [], 'eval_datasets': None, 'eval_template': None, 'eval_size': None, 'eval_split': None, 'eval_subset': None, 'eval_data_files': None, 'eval_optional_args': []}, 'logger_cfgs': {'log_type': 'wandb', 'log_project': 'align-anything', 'log_run_name': 'dpo', 'output_dir': '../outputs/dpo_tiv2t_1.5k_base', 'cache_dir': None, 'save_interval': 100000}, 'model_cfgs': {'model_name_or_path': '/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct', 'trust_remote_code': True, 'model_max_length': 4096}, 'special_tokens': None}
|
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2024-09-21 11:52:59,197 INFO MainThread:1311189 [wandb_init.py:init():619] starting backend
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2024-09-21 11:52:59,197 INFO MainThread:1311189 [wandb_init.py:init():623] setting up manager
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2024-09-21 11:52:59,198 INFO MainThread:1311189 [backend.py:_multiprocessing_setup():105] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
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+
2024-09-21 11:52:59,201 INFO MainThread:1311189 [wandb_init.py:init():631] backend started and connected
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2024-09-21 11:52:59,204 INFO MainThread:1311189 [wandb_init.py:init():720] updated telemetry
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2024-09-21 11:52:59,226 INFO MainThread:1311189 [wandb_init.py:init():753] communicating run to backend with 90.0 second timeout
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2024-09-21 11:52:59,742 INFO MainThread:1311189 [wandb_run.py:_on_init():2435] communicating current version
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2024-09-21 11:52:59,955 INFO MainThread:1311189 [wandb_run.py:_on_init():2444] got version response upgrade_message: "wandb version 0.18.1 is available! To upgrade, please run:\n $ pip install wandb --upgrade"
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2024-09-21 11:52:59,956 INFO MainThread:1311189 [wandb_init.py:init():804] starting run threads in backend
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2024-09-21 11:53:06,573 INFO MainThread:1311189 [wandb_run.py:_console_start():2413] atexit reg
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2024-09-21 11:53:06,574 INFO MainThread:1311189 [wandb_run.py:_redirect():2255] redirect: wrap_raw
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2024-09-21 11:53:06,574 INFO MainThread:1311189 [wandb_run.py:_redirect():2320] Wrapping output streams.
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2024-09-21 11:53:06,574 INFO MainThread:1311189 [wandb_run.py:_redirect():2345] Redirects installed.
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2024-09-21 11:53:06,633 INFO MainThread:1311189 [wandb_init.py:init():847] run started, returning control to user process
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wandb/run-20240921_050939-9z0w7l09/files/conda-environment.yaml
ADDED
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|
1 |
+
name: hantao_tiv
|
2 |
+
channels:
|
3 |
+
- nvidia/label/cuda-12.1.0
|
4 |
+
- nvidia
|
5 |
+
- pytorch
|
6 |
+
- huggingface
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aom=3.9.1=hac33072_0
|
13 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
14 |
+
- blas=1.0=mkl
|
15 |
+
- brotli-python=1.1.0=py311hb755f60_1
|
16 |
+
- bzip2=1.0.8=h4bc722e_7
|
17 |
+
- ca-certificates=2024.7.4=hbcca054_0
|
18 |
+
- cairo=1.18.0=hebfffa5_3
|
19 |
+
- certifi=2024.7.4=pyhd8ed1ab_0
|
20 |
+
- cffi=1.16.0=py311hb3a22ac_0
|
21 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
22 |
+
- comm=0.2.2=pyhd8ed1ab_0
|
23 |
+
- cuda=12.1.0=0
|
24 |
+
- cuda-cccl=12.1.55=0
|
25 |
+
- cuda-command-line-tools=12.1.0=0
|
26 |
+
- cuda-compiler=12.1.0=0
|
27 |
+
- cuda-cudart=12.1.55=0
|
28 |
+
- cuda-cudart-dev=12.1.55=0
|
29 |
+
- cuda-cudart-static=12.1.55=0
|
30 |
+
- cuda-cuobjdump=12.1.55=0
|
31 |
+
- cuda-cupti=12.1.62=0
|
32 |
+
- cuda-cupti-static=12.1.62=0
|
33 |
+
- cuda-cuxxfilt=12.1.55=0
|
34 |
+
- cuda-demo-suite=12.1.55=0
|
35 |
+
- cuda-documentation=12.1.55=0
|
36 |
+
- cuda-driver-dev=12.1.55=0
|
37 |
+
- cuda-gdb=12.1.55=0
|
38 |
+
- cuda-libraries=12.1.0=0
|
39 |
+
- cuda-libraries-dev=12.1.0=0
|
40 |
+
- cuda-libraries-static=12.1.0=0
|
41 |
+
- cuda-nsight=12.1.55=0
|
42 |
+
- cuda-nsight-compute=12.1.0=0
|
43 |
+
- cuda-nvcc=12.1.66=0
|
44 |
+
- cuda-nvdisasm=12.1.55=0
|
45 |
+
- cuda-nvml-dev=12.1.55=0
|
46 |
+
- cuda-nvprof=12.1.55=0
|
47 |
+
- cuda-nvprune=12.1.55=0
|
48 |
+
- cuda-nvrtc=12.1.55=0
|
49 |
+
- cuda-nvrtc-dev=12.1.55=0
|
50 |
+
- cuda-nvrtc-static=12.1.55=0
|
51 |
+
- cuda-nvtx=12.1.66=0
|
52 |
+
- cuda-nvvp=12.1.55=0
|
53 |
+
- cuda-opencl=12.1.56=0
|
54 |
+
- cuda-opencl-dev=12.1.56=0
|
55 |
+
- cuda-profiler-api=12.1.55=0
|
56 |
+
- cuda-runtime=12.1.0=0
|
57 |
+
- cuda-sanitizer-api=12.1.55=0
|
58 |
+
- cuda-toolkit=12.1.0=0
|
59 |
+
- cuda-tools=12.1.0=0
|
60 |
+
- cuda-visual-tools=12.1.0=0
|
61 |
+
- dav1d=1.2.1=hd590300_0
|
62 |
+
- debugpy=1.8.2=py311h4332511_0
|
63 |
+
- exceptiongroup=1.2.2=pyhd8ed1ab_0
|
64 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
65 |
+
- expat=2.6.2=h59595ed_0
|
66 |
+
- ffmpeg=7.0.1=gpl_h9be9148_104
|
67 |
+
- filelock=3.15.4=pyhd8ed1ab_0
|
68 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
69 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
70 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
71 |
+
- font-ttf-ubuntu=0.83=h77eed37_2
|
72 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
73 |
+
- fonts-conda-ecosystem=1=0
|
74 |
+
- fonts-conda-forge=1=0
|
75 |
+
- freetype=2.12.1=h267a509_2
|
76 |
+
- fribidi=1.0.10=h36c2ea0_0
|
77 |
+
- gds-tools=1.6.0.25=0
|
78 |
+
- gettext=0.22.5=h59595ed_2
|
79 |
+
- gettext-tools=0.22.5=h59595ed_2
|
80 |
+
- git-lfs=3.5.1=ha770c72_0
|
81 |
+
- gmp=6.3.0=hac33072_2
|
82 |
+
- gmpy2=2.1.5=py311hc4f1f91_1
|
83 |
+
- gnutls=3.7.9=hb077bed_0
|
84 |
+
- graphite2=1.3.13=h59595ed_1003
|
85 |
+
- h2=4.1.0=pyhd8ed1ab_0
|
86 |
+
- harfbuzz=9.0.0=hda332d3_1
|
87 |
+
- hpack=4.0.0=pyh9f0ad1d_0
|
88 |
+
- hyperframe=6.0.1=pyhd8ed1ab_0
|
89 |
+
- icu=75.1=he02047a_0
|
90 |
+
- idna=3.7=pyhd8ed1ab_0
|
91 |
+
- importlib-metadata=8.2.0=pyha770c72_0
|
92 |
+
- importlib_metadata=8.2.0=hd8ed1ab_0
|
93 |
+
- intel-openmp=2022.0.1=h06a4308_3633
|
94 |
+
- ipykernel=6.29.5=pyh3099207_0
|
95 |
+
- ipython=8.26.0=pyh707e725_0
|
96 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
97 |
+
- jinja2=3.1.4=pyhd8ed1ab_0
|
98 |
+
- jupyter_client=8.6.2=pyhd8ed1ab_0
|
99 |
+
- jupyter_core=5.7.2=py311h38be061_0
|
100 |
+
- keyutils=1.6.1=h166bdaf_0
|
101 |
+
- krb5=1.21.3=h659f571_0
|
102 |
+
- lame=3.100=h166bdaf_1003
|
103 |
+
- lcms2=2.16=hb7c19ff_0
|
104 |
+
- ld_impl_linux-64=2.40=hf3520f5_7
|
105 |
+
- lerc=4.0.0=h27087fc_0
|
106 |
+
- libabseil=20240116.2=cxx17_he02047a_1
|
107 |
+
- libasprintf=0.22.5=h661eb56_2
|
108 |
+
- libasprintf-devel=0.22.5=h661eb56_2
|
109 |
+
- libass=0.17.1=h39113c1_2
|
110 |
+
- libblas=3.9.0=16_linux64_mkl
|
111 |
+
- libcblas=3.9.0=16_linux64_mkl
|
112 |
+
- libcublas=12.1.0.26=0
|
113 |
+
- libcublas-dev=12.1.0.26=0
|
114 |
+
- libcublas-static=12.1.0.26=0
|
115 |
+
- libcufft=11.0.2.4=0
|
116 |
+
- libcufft-dev=11.0.2.4=0
|
117 |
+
- libcufft-static=11.0.2.4=0
|
118 |
+
- libcufile=1.6.0.25=0
|
119 |
+
- libcufile-dev=1.6.0.25=0
|
120 |
+
- libcufile-static=1.6.0.25=0
|
121 |
+
- libcurand=10.3.2.56=0
|
122 |
+
- libcurand-dev=10.3.2.56=0
|
123 |
+
- libcurand-static=10.3.2.56=0
|
124 |
+
- libcusolver=11.4.4.55=0
|
125 |
+
- libcusolver-dev=11.4.4.55=0
|
126 |
+
- libcusolver-static=11.4.4.55=0
|
127 |
+
- libcusparse=12.0.2.55=0
|
128 |
+
- libcusparse-dev=12.0.2.55=0
|
129 |
+
- libcusparse-static=12.0.2.55=0
|
130 |
+
- libdeflate=1.20=hd590300_0
|
131 |
+
- libdrm=2.4.122=h4ab18f5_0
|
132 |
+
- libedit=3.1.20191231=he28a2e2_2
|
133 |
+
- libexpat=2.6.2=h59595ed_0
|
134 |
+
- libffi=3.4.2=h7f98852_5
|
135 |
+
- libgcc-ng=14.1.0=h77fa898_0
|
136 |
+
- libgettextpo=0.22.5=h59595ed_2
|
137 |
+
- libgettextpo-devel=0.22.5=h59595ed_2
|
138 |
+
- libglib=2.80.3=h8a4344b_1
|
139 |
+
- libgomp=14.1.0=h77fa898_0
|
140 |
+
- libhwloc=2.11.1=default_hecaa2ac_1000
|
141 |
+
- libiconv=1.17=hd590300_2
|
142 |
+
- libidn2=2.3.7=hd590300_0
|
143 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
144 |
+
- liblapack=3.9.0=16_linux64_mkl
|
145 |
+
- libnpp=12.0.2.50=0
|
146 |
+
- libnpp-dev=12.0.2.50=0
|
147 |
+
- libnpp-static=12.0.2.50=0
|
148 |
+
- libnsl=2.0.1=hd590300_0
|
149 |
+
- libnvjitlink=12.1.105=0
|
150 |
+
- libnvjitlink-dev=12.1.55=0
|
151 |
+
- libnvjpeg=12.1.0.39=0
|
152 |
+
- libnvjpeg-dev=12.1.0.39=0
|
153 |
+
- libnvjpeg-static=12.1.0.39=0
|
154 |
+
- libnvvm-samples=12.1.55=0
|
155 |
+
- libopenvino=2024.2.0=h2da1b83_1
|
156 |
+
- libopenvino-auto-batch-plugin=2024.2.0=hb045406_1
|
157 |
+
- libopenvino-auto-plugin=2024.2.0=hb045406_1
|
158 |
+
- libopenvino-hetero-plugin=2024.2.0=h5c03a75_1
|
159 |
+
- libopenvino-intel-cpu-plugin=2024.2.0=h2da1b83_1
|
160 |
+
- libopenvino-intel-gpu-plugin=2024.2.0=h2da1b83_1
|
161 |
+
- libopenvino-intel-npu-plugin=2024.2.0=he02047a_1
|
162 |
+
- libopenvino-ir-frontend=2024.2.0=h5c03a75_1
|
163 |
+
- libopenvino-onnx-frontend=2024.2.0=h07e8aee_1
|
164 |
+
- libopenvino-paddle-frontend=2024.2.0=h07e8aee_1
|
165 |
+
- libopenvino-pytorch-frontend=2024.2.0=he02047a_1
|
166 |
+
- libopenvino-tensorflow-frontend=2024.2.0=h39126c6_1
|
167 |
+
- libopenvino-tensorflow-lite-frontend=2024.2.0=he02047a_1
|
168 |
+
- libopus=1.3.1=h7f98852_1
|
169 |
+
- libpciaccess=0.18=hd590300_0
|
170 |
+
- libpng=1.6.43=h2797004_0
|
171 |
+
- libprotobuf=4.25.3=h08a7969_0
|
172 |
+
- libsodium=1.0.18=h36c2ea0_1
|
173 |
+
- libsqlite=3.46.0=hde9e2c9_0
|
174 |
+
- libstdcxx-ng=14.1.0=hc0a3c3a_0
|
175 |
+
- libtasn1=4.19.0=h166bdaf_0
|
176 |
+
- libtiff=4.6.0=h1dd3fc0_3
|
177 |
+
- libunistring=0.9.10=h7f98852_0
|
178 |
+
- libuuid=2.38.1=h0b41bf4_0
|
179 |
+
- libva=2.22.0=hb711507_0
|
180 |
+
- libvpx=1.14.1=hac33072_0
|
181 |
+
- libwebp-base=1.4.0=hd590300_0
|
182 |
+
- libxcb=1.16=hd590300_0
|
183 |
+
- libxcrypt=4.4.36=hd590300_1
|
184 |
+
- libxml2=2.12.7=he7c6b58_4
|
185 |
+
- libzlib=1.3.1=h4ab18f5_1
|
186 |
+
- llvm-openmp=15.0.7=h0cdce71_0
|
187 |
+
- markupsafe=2.1.5=py311h459d7ec_0
|
188 |
+
- matplotlib-inline=0.1.7=pyhd8ed1ab_0
|
189 |
+
- mkl=2022.1.0=hc2b9512_224
|
190 |
+
- mpc=1.3.1=hfe3b2da_0
|
191 |
+
- mpfr=4.2.1=h38ae2d0_2
|
192 |
+
- mpmath=1.3.0=pyhd8ed1ab_0
|
193 |
+
- ncurses=6.5=h59595ed_0
|
194 |
+
- nest-asyncio=1.6.0=pyhd8ed1ab_0
|
195 |
+
- nettle=3.9.1=h7ab15ed_0
|
196 |
+
- networkx=3.3=pyhd8ed1ab_1
|
197 |
+
- nsight-compute=2023.1.0.15=0
|
198 |
+
- ocl-icd=2.3.2=hd590300_1
|
199 |
+
- openh264=2.4.1=h59595ed_0
|
200 |
+
- openjpeg=2.5.2=h488ebb8_0
|
201 |
+
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|
202 |
+
- p11-kit=0.24.1=hc5aa10d_0
|
203 |
+
- packaging=24.1=pyhd8ed1ab_0
|
204 |
+
- parso=0.8.4=pyhd8ed1ab_0
|
205 |
+
- pcre2=10.44=h0f59acf_0
|
206 |
+
- pexpect=4.9.0=pyhd8ed1ab_0
|
207 |
+
- pickleshare=0.7.5=py_1003
|
208 |
+
- pillow=10.4.0=py311h82a398c_0
|
209 |
+
- pip=24.0=pyhd8ed1ab_0
|
210 |
+
- pixman=0.43.2=h59595ed_0
|
211 |
+
- prompt-toolkit=3.0.47=pyha770c72_0
|
212 |
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- psutil=6.0.0=py311h331c9d8_0
|
213 |
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- pthread-stubs=0.4=h36c2ea0_1001
|
214 |
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- ptyprocess=0.7.0=pyhd3deb0d_0
|
215 |
+
- pugixml=1.14=h59595ed_0
|
216 |
+
- pure_eval=0.2.3=pyhd8ed1ab_0
|
217 |
+
- pycparser=2.22=pyhd8ed1ab_0
|
218 |
+
- pygments=2.18.0=pyhd8ed1ab_0
|
219 |
+
- pysocks=1.7.1=pyha2e5f31_6
|
220 |
+
- python=3.11.9=hb806964_0_cpython
|
221 |
+
- python_abi=3.11=4_cp311
|
222 |
+
- pytorch=2.4.0=py3.11_cuda12.1_cudnn9.1.0_0
|
223 |
+
- pytorch-cuda=12.1=ha16c6d3_5
|
224 |
+
- pytorch-mutex=1.0=cuda
|
225 |
+
- pyyaml=6.0.1=py311h459d7ec_1
|
226 |
+
- pyzmq=26.0.3=py311h08a0b41_0
|
227 |
+
- readline=8.2=h8228510_1
|
228 |
+
- requests=2.32.3=pyhd8ed1ab_0
|
229 |
+
- setuptools=71.0.4=pyhd8ed1ab_0
|
230 |
+
- six=1.16.0=pyh6c4a22f_0
|
231 |
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- snappy=1.2.1=ha2e4443_0
|
232 |
+
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|
233 |
+
- svt-av1=2.1.2=hac33072_0
|
234 |
+
- sympy=1.13.0=pypyh2585a3b_103
|
235 |
+
- tbb=2021.12.0=h434a139_3
|
236 |
+
- tk=8.6.13=noxft_h4845f30_101
|
237 |
+
- torchaudio=2.4.0=py311_cu121
|
238 |
+
- torchtriton=3.0.0=py311
|
239 |
+
- tornado=6.4.1=py311h331c9d8_0
|
240 |
+
- traitlets=5.14.3=pyhd8ed1ab_0
|
241 |
+
- typing_extensions=4.12.2=pyha770c72_0
|
242 |
+
- urllib3=2.2.2=pyhd8ed1ab_1
|
243 |
+
- wayland=1.23.0=h5291e77_0
|
244 |
+
- wayland-protocols=1.36=hd8ed1ab_0
|
245 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
246 |
+
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|
247 |
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|
248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
+
- xorg-libx11=1.8.9=hb711507_1
|
254 |
+
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|
255 |
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|
256 |
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|
257 |
+
- xorg-libxfixes=5.0.3=h7f98852_1004
|
258 |
+
- xorg-libxrender=0.9.11=hd590300_0
|
259 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
260 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
261 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
262 |
+
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|
263 |
+
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|
264 |
+
- zeromq=4.3.5=h75354e8_4
|
265 |
+
- zipp=3.19.2=pyhd8ed1ab_0
|
266 |
+
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|
267 |
+
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|
268 |
+
- zstd=1.5.6=ha6fb4c9_0
|
269 |
+
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|
270 |
+
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|
271 |
+
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|
272 |
+
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|
273 |
+
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|
274 |
+
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|
275 |
+
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|
276 |
+
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|
277 |
+
- align-anything==0.0.1.dev0
|
278 |
+
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|
279 |
+
- amqp==5.2.0
|
280 |
+
- annotated-types==0.7.0
|
281 |
+
- antlr4-python3-runtime==4.9.3
|
282 |
+
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|
283 |
+
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|
284 |
+
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|
285 |
+
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|
286 |
+
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|
287 |
+
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|
288 |
+
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|
289 |
+
- billiard==4.2.0
|
290 |
+
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|
291 |
+
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|
292 |
+
- cachetools==5.4.0
|
293 |
+
- celery==5.4.0
|
294 |
+
- cfgv==3.4.0
|
295 |
+
- click==8.1.7
|
296 |
+
- click-didyoumean==0.3.1
|
297 |
+
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|
298 |
+
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|
299 |
+
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|
300 |
+
- cmake==3.30.1
|
301 |
+
- colorama==0.4.6
|
302 |
+
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|
303 |
+
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|
304 |
+
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|
305 |
+
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|
306 |
+
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|
307 |
+
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|
308 |
+
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|
309 |
+
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|
310 |
+
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|
311 |
+
- datasets==2.20.0
|
312 |
+
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|
313 |
+
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|
314 |
+
- dictdiffer==0.9.0
|
315 |
+
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|
316 |
+
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|
317 |
+
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|
318 |
+
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|
319 |
+
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|
320 |
+
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|
321 |
+
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|
322 |
+
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|
323 |
+
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|
324 |
+
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|
325 |
+
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|
326 |
+
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|
327 |
+
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|
328 |
+
- dvc-objects==5.1.0
|
329 |
+
- dvc-render==1.0.2
|
330 |
+
- dvc-studio-client==0.21.0
|
331 |
+
- dvc-task==0.4.0
|
332 |
+
- einops==0.8.0
|
333 |
+
- email-validator==2.2.0
|
334 |
+
- entrypoints==0.4
|
335 |
+
- fastapi==0.111.1
|
336 |
+
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|
337 |
+
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|
338 |
+
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|
339 |
+
- flatten-dict==0.4.2
|
340 |
+
- flufl-lock==8.1.0
|
341 |
+
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|
342 |
+
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|
343 |
+
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|
344 |
+
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|
345 |
+
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|
346 |
+
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|
347 |
+
- gitpython==3.1.43
|
348 |
+
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|
349 |
+
- gradio==4.39.0
|
350 |
+
- gradio-client==1.1.1
|
351 |
+
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|
352 |
+
- grandalf==0.8
|
353 |
+
- grapheme==0.6.0
|
354 |
+
- graphql-core==3.2.3
|
355 |
+
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|
356 |
+
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|
357 |
+
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|
358 |
+
- hjson==3.1.0
|
359 |
+
- httpcore==1.0.5
|
360 |
+
- httptools==0.6.1
|
361 |
+
- httpx==0.27.2
|
362 |
+
- huggingface-hub==0.24.3
|
363 |
+
- hydra-core==1.3.2
|
364 |
+
- identify==2.6.0
|
365 |
+
- imageio==2.35.1
|
366 |
+
- imageio-ffmpeg==0.5.1
|
367 |
+
- importlib-resources==6.4.0
|
368 |
+
- iniconfig==2.0.0
|
369 |
+
- interegular==0.3.3
|
370 |
+
- iterative-telemetry==0.0.8
|
371 |
+
- jmespath==1.0.1
|
372 |
+
- joblib==1.4.2
|
373 |
+
- jsonschema==4.23.0
|
374 |
+
- jsonschema-specifications==2023.12.1
|
375 |
+
- kiwisolver==1.4.5
|
376 |
+
- kombu==5.4.0
|
377 |
+
- lark==1.1.9
|
378 |
+
- lazy-loader==0.4
|
379 |
+
- librosa==0.10.2.post1
|
380 |
+
- llamafactory==0.8.4.dev0
|
381 |
+
- llvmlite==0.43.0
|
382 |
+
- lm-format-enforcer==0.10.3
|
383 |
+
- lxml==5.3.0
|
384 |
+
- markdown==3.6
|
385 |
+
- markdown-it-py==3.0.0
|
386 |
+
- marshmallow==3.22.0
|
387 |
+
- matplotlib==3.9.1
|
388 |
+
- mdurl==0.1.2
|
389 |
+
- mmsg==0.1.dev14+gbd2b056.d20240803
|
390 |
+
- moviepy==1.0.3
|
391 |
+
- mpi4py==4.0.0
|
392 |
+
- msgpack==1.0.8
|
393 |
+
- multidict==6.0.5
|
394 |
+
- multiprocess==0.70.16
|
395 |
+
- mypy-extensions==1.0.0
|
396 |
+
- ninja==1.11.1.1
|
397 |
+
- nodeenv==1.9.1
|
398 |
+
- numba==0.60.0
|
399 |
+
- numpy==1.26.4
|
400 |
+
- nvidia-cublas-cu12==12.1.3.1
|
401 |
+
- nvidia-cuda-cupti-cu12==12.1.105
|
402 |
+
- nvidia-cuda-nvrtc-cu12==12.1.105
|
403 |
+
- nvidia-cuda-runtime-cu12==12.1.105
|
404 |
+
- nvidia-cudnn-cu12==8.9.2.26
|
405 |
+
- nvidia-cufft-cu12==11.0.2.54
|
406 |
+
- nvidia-curand-cu12==10.3.2.106
|
407 |
+
- nvidia-cusolver-cu12==11.4.5.107
|
408 |
+
- nvidia-cusparse-cu12==12.1.0.106
|
409 |
+
- nvidia-ml-py==12.535.161
|
410 |
+
- nvidia-nccl-cu12==2.20.5
|
411 |
+
- nvidia-nvjitlink-cu12==12.5.82
|
412 |
+
- nvidia-nvtx-cu12==12.1.105
|
413 |
+
- nvitop==1.3.2
|
414 |
+
- omegaconf==2.3.0
|
415 |
+
- openai==1.37.1
|
416 |
+
- optree==0.12.1
|
417 |
+
- orjson==3.10.6
|
418 |
+
- outlines==0.0.47.dev37+g26e2934
|
419 |
+
- pandas==2.2.2
|
420 |
+
- pathspec==0.12.1
|
421 |
+
- pathvalidate==3.0.0
|
422 |
+
- peft==0.12.0
|
423 |
+
- platformdirs==3.11.0
|
424 |
+
- pluggy==1.5.0
|
425 |
+
- pooch==1.8.2
|
426 |
+
- pre-commit==3.8.0
|
427 |
+
- proglog==0.1.10
|
428 |
+
- prometheus-client==0.20.0
|
429 |
+
- prometheus-fastapi-instrumentator==7.0.0
|
430 |
+
- protobuf==4.25.4
|
431 |
+
- py-cpuinfo==9.0.0
|
432 |
+
- pyairports==2.1.1
|
433 |
+
- pyarrow==17.0.0
|
434 |
+
- pyarrow-hotfix==0.6
|
435 |
+
- pyav==13.0.0
|
436 |
+
- pycountry==24.6.1
|
437 |
+
- pydantic==2.8.2
|
438 |
+
- pydantic-core==2.20.1
|
439 |
+
- pydot==3.0.1
|
440 |
+
- pydub==0.25.1
|
441 |
+
- pygit2==1.15.1
|
442 |
+
- pygtrie==2.5.0
|
443 |
+
- pyparsing==3.1.2
|
444 |
+
- pytest==8.3.2
|
445 |
+
- python-dateutil==2.9.0.post0
|
446 |
+
- python-dotenv==1.0.1
|
447 |
+
- python-multipart==0.0.9
|
448 |
+
- pytz==2024.1
|
449 |
+
- ranger-fm==1.9.3
|
450 |
+
- ray==2.34.0
|
451 |
+
- referencing==0.35.1
|
452 |
+
- regex==2024.7.24
|
453 |
+
- requests-toolbelt==1.0.0
|
454 |
+
- rfc3986==1.5.0
|
455 |
+
- rich==13.1.0
|
456 |
+
- rpds-py==0.19.1
|
457 |
+
- ruamel-yaml==0.18.6
|
458 |
+
- ruamel-yaml-clib==0.2.8
|
459 |
+
- ruff==0.5.5
|
460 |
+
- s3transfer==0.10.2
|
461 |
+
- safetensors==0.4.3
|
462 |
+
- scikit-learn==1.5.1
|
463 |
+
- scipy==1.14.0
|
464 |
+
- scmrepo==3.3.7
|
465 |
+
- semantic-version==2.10.0
|
466 |
+
- semver==3.0.2
|
467 |
+
- sentencepiece==0.2.0
|
468 |
+
- sentry-sdk==2.11.0
|
469 |
+
- setproctitle==1.3.3
|
470 |
+
- shellingham==1.5.4
|
471 |
+
- shortuuid==1.0.13
|
472 |
+
- shtab==1.7.1
|
473 |
+
- smmap==5.0.1
|
474 |
+
- sniffio==1.3.1
|
475 |
+
- soundfile==0.12.1
|
476 |
+
- soxr==0.4.0
|
477 |
+
- sqltrie==0.11.1
|
478 |
+
- sse-starlette==2.1.3
|
479 |
+
- starlette==0.37.2
|
480 |
+
- tabulate==0.9.0
|
481 |
+
- tenacity==8.2.3
|
482 |
+
- tensorboard==2.17.0
|
483 |
+
- tensorboard-data-server==0.7.2
|
484 |
+
- term-image==0.7.2
|
485 |
+
- termcolor==2.4.0
|
486 |
+
- threadpoolctl==3.5.0
|
487 |
+
- tiktoken==0.7.0
|
488 |
+
- tokenizers==0.19.1
|
489 |
+
- tomlkit==0.12.0
|
490 |
+
- torch==2.3.1
|
491 |
+
- torchvision==0.18.1
|
492 |
+
- tqdm==4.66.4
|
493 |
+
- transformers==4.45.0.dev0
|
494 |
+
- treelib==1.6.4
|
495 |
+
- triton==2.3.1
|
496 |
+
- trl==0.9.6
|
497 |
+
- typer==0.12.3
|
498 |
+
- typing-inspect==0.9.0
|
499 |
+
- tyro==0.8.10
|
500 |
+
- tzdata==2024.1
|
501 |
+
- uvicorn==0.30.3
|
502 |
+
- uvloop==0.19.0
|
503 |
+
- vine==5.1.0
|
504 |
+
- virtualenv==20.26.3
|
505 |
+
- vllm==0.5.3.post1
|
506 |
+
- vllm-flash-attn==2.5.9.post1
|
507 |
+
- voluptuous==0.15.2
|
508 |
+
- wandb==0.17.5
|
509 |
+
- watchfiles==0.22.0
|
510 |
+
- websockets==11.0.3
|
511 |
+
- werkzeug==3.0.3
|
512 |
+
- xformers==0.0.27
|
513 |
+
- xxhash==3.4.1
|
514 |
+
- yarl==1.9.4
|
515 |
+
- zc-lockfile==3.0.post1
|
516 |
+
prefix: /aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
wandb/run-20240921_050939-9z0w7l09/files/config.yaml
ADDED
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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wandb_version: 1
|
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train_cfgs:
|
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desc: null
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value:
|
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ds_cfgs: ds_z3_config.json
|
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epochs: 3
|
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seed: 42
|
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per_device_train_batch_size: 1.0
|
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per_device_eval_batch_size: 1.0
|
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gradient_accumulation_steps: 1.0
|
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gradient_checkpointing: true
|
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learning_rate: 1.0e-06
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lr_scheduler_type: cosine
|
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adam_betas:
|
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- 0.9
|
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- 0.95
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bf16: true
|
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fp16: false
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eval_strategy: epoch
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eval_interval: 10
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regularization: 0.001
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scale_coeff: 0.1
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|
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|
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data_cfgs:
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desc: null
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train_datasets: /aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted
|
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train_template: NExTQA_preference
|
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train_size: null
|
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train_split: train
|
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train_subset: null
|
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train_data_files: extracted_preference_1.5k_washed.json
|
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train_optional_args: []
|
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eval_datasets: null
|
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eval_template: null
|
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eval_size: null
|
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eval_split: null
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eval_subset: null
|
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eval_data_files: null
|
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eval_optional_args: []
|
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logger_cfgs:
|
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desc: null
|
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value:
|
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log_type: wandb
|
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log_project: align-anything
|
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log_run_name: dpo
|
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output_dir: ../outputs/dpo_tiv2t_1.5k_base
|
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cache_dir: null
|
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save_interval: 100000
|
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model_cfgs:
|
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desc: null
|
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value:
|
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model_name_or_path: /aifs4su/yaodong/models/Qwen2-VL-7B-Instruct
|
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trust_remote_code: true
|
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model_max_length: 4096
|
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special_tokens:
|
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|
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value: null
|
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_wandb:
|
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desc: null
|
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value:
|
67 |
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python_version: 3.11.9
|
68 |
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cli_version: 0.17.5
|
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framework: huggingface
|
70 |
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huggingface_version: 4.45.0.dev0
|
71 |
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is_jupyter_run: false
|
72 |
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is_kaggle_kernel: false
|
73 |
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start_time: 1726866579
|
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t:
|
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1:
|
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- 1
|
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|
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|
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|
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|
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2:
|
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|
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|
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|
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|
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3:
|
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|
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|
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|
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- 23
|
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+
- 61
|
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+
4: 3.11.9
|
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5: 0.17.5
|
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6: 4.45.0.dev0
|
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+
8:
|
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- 5
|
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13: linux-x86_64
|
wandb/run-20240921_050939-9z0w7l09/files/output.log
ADDED
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***** Running training *****
|
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Training 1/3 epoch: 0%| | 0/531 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
5 |
+
/aifs4su/yaodong/miniconda3/envs/hantao_tiv/lib/python3.11/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
|
6 |
+
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
|
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Training 1/3 epoch (loss 0.6357): 2%|█▋ | 9/531 [01:30<1:21:14, 9.34s/it]
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Training 1/3 epoch (loss 1.1789): 4%|███▌ | 19/531 [03:00<1:15:00, 8.79s/it]
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Training 1/3 epoch (loss 0.6288): 5%|█████▍ | 29/531 [04:47<1:30:27, 10.81s/it]
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Training 1/3 epoch (loss 0.3259): 7%|███████▎ | 39/531 [06:44<1:33:55, 11.46s/it]
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Training 1/3 epoch (loss 0.9580): 9%|█████████▏ | 49/531 [08:26<1:20:24, 10.01s/it]
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Training 1/3 epoch (loss 0.2154): 11%|███████████ | 59/531 [10:01<1:14:08, 9.43s/it]
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Training 1/3 epoch (loss 0.8316): 22%|██████████████████████▏ | 119/531 [20:10<1:02:22, 9.08s/it]
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Training 1/3 epoch (loss 0.5590): 26%|██████████████████████████▍ | 139/531 [22:58<50:15, 7.69s/it]
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Training 1/3 epoch (loss 0.6365): 28%|███████████████████████████▌ | 148/531 [24:33<1:16:08, 11.93s/it]Traceback (most recent call last):
|
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|
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File "<frozen runpy>", line 88, in _run_code
|
174 |
+
File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 182, in <module>
|
175 |
+
sys.exit(main())
|
176 |
+
^^^^^^
|
177 |
+
File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 177, in main
|
178 |
+
trainer.train()
|
179 |
+
File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/text_to_text/dpo.py", line 254, in train
|
180 |
+
info = self.train_step(batch)
|
181 |
+
^^^^^^^^^^^^^^^^^^^^^^
|
182 |
+
File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/text_to_text/dpo.py", line 205, in train_step
|
183 |
+
loss_dict = self.loss(batch=batch)
|
184 |
+
^^^^^^^^^^^^^^^^^^^^^^
|
185 |
+
File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 136, in loss
|
186 |
+
loss = torch.stack(losses).mean() # size = ()
|
187 |
+
^^^^^^^^^^^^^^^^^^^
|
188 |
+
RuntimeError: stack expects a non-empty TensorList
|
189 |
+
[rank0]: Traceback (most recent call last):
|
190 |
+
[rank0]: File "<frozen runpy>", line 198, in _run_module_as_main
|
191 |
+
[rank0]: File "<frozen runpy>", line 88, in _run_code
|
192 |
+
[rank0]: File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 182, in <module>
|
193 |
+
[rank0]: sys.exit(main())
|
194 |
+
[rank0]: ^^^^^^
|
195 |
+
[rank0]: File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 177, in main
|
196 |
+
[rank0]: trainer.train()
|
197 |
+
[rank0]: File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/text_to_text/dpo.py", line 254, in train
|
198 |
+
[rank0]: info = self.train_step(batch)
|
199 |
+
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^
|
200 |
+
[rank0]: File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/text_to_text/dpo.py", line 205, in train_step
|
201 |
+
[rank0]: loss_dict = self.loss(batch=batch)
|
202 |
+
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^
|
203 |
+
[rank0]: File "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything/align_anything/trainers/tiv_to_t/dpo.py", line 136, in loss
|
204 |
+
[rank0]: loss = torch.stack(losses).mean() # size = ()
|
205 |
+
[rank0]: ^^^^^^^^^^^^^^^^^^^
|
206 |
+
[rank0]: RuntimeError: stack expects a non-empty TensorList
|
wandb/run-20240921_050939-9z0w7l09/files/requirements.txt
ADDED
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|
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|
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|
|
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|
|
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|
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|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Brotli==1.1.0
|
2 |
+
GitPython==3.1.43
|
3 |
+
Jinja2==3.1.4
|
4 |
+
Markdown==3.6
|
5 |
+
MarkupSafe==2.1.5
|
6 |
+
PySocks==1.7.1
|
7 |
+
PyYAML==6.0.1
|
8 |
+
Pygments==2.18.0
|
9 |
+
Werkzeug==3.0.3
|
10 |
+
about-time==4.2.1
|
11 |
+
absl-py==2.1.0
|
12 |
+
accelerate==0.34.0
|
13 |
+
aiofiles==23.2.1
|
14 |
+
aiohttp-retry==2.8.3
|
15 |
+
aiohttp==3.9.5
|
16 |
+
aiosignal==1.3.1
|
17 |
+
align-anything==0.0.1.dev0
|
18 |
+
align-anything==0.0.1.dev0
|
19 |
+
alive-progress==3.1.5
|
20 |
+
amqp==5.2.0
|
21 |
+
annotated-types==0.7.0
|
22 |
+
antlr4-python3-runtime==4.9.3
|
23 |
+
anyio==4.4.0
|
24 |
+
appdirs==1.4.4
|
25 |
+
asttokens==2.4.1
|
26 |
+
asyncssh==2.16.0
|
27 |
+
atpublic==5.0
|
28 |
+
attrs==23.2.0
|
29 |
+
audioread==3.0.1
|
30 |
+
autocommand==2.2.2
|
31 |
+
backoff==2.2.1
|
32 |
+
backports.tarfile==1.2.0
|
33 |
+
billiard==4.2.0
|
34 |
+
boto3==1.35.9
|
35 |
+
botocore==1.35.9
|
36 |
+
cachetools==5.4.0
|
37 |
+
celery==5.4.0
|
38 |
+
certifi==2024.7.4
|
39 |
+
cffi==1.16.0
|
40 |
+
cfgv==3.4.0
|
41 |
+
charset-normalizer==3.3.2
|
42 |
+
click-didyoumean==0.3.1
|
43 |
+
click-plugins==1.1.1
|
44 |
+
click-repl==0.3.0
|
45 |
+
click==8.1.7
|
46 |
+
cloudpickle==3.0.0
|
47 |
+
cmake==3.30.1
|
48 |
+
colorama==0.4.6
|
49 |
+
comm==0.2.2
|
50 |
+
commonmark==0.9.1
|
51 |
+
configobj==5.0.8
|
52 |
+
contourpy==1.2.1
|
53 |
+
cryptography==43.0.0
|
54 |
+
cycler==0.12.1
|
55 |
+
dacite==1.6.0
|
56 |
+
dagshub-annotation-converter==0.1.0
|
57 |
+
dagshub==0.3.35
|
58 |
+
dataclasses-json==0.6.7
|
59 |
+
datasets==2.20.0
|
60 |
+
debugpy==1.8.2
|
61 |
+
decorator==4.4.2
|
62 |
+
deepspeed==0.14.4
|
63 |
+
dictdiffer==0.9.0
|
64 |
+
diffusers==0.29.2
|
65 |
+
dill==0.3.8
|
66 |
+
diskcache==5.6.3
|
67 |
+
distlib==0.3.8
|
68 |
+
distro==1.9.0
|
69 |
+
dnspython==2.6.1
|
70 |
+
docker-pycreds==0.4.0
|
71 |
+
docstring_parser==0.16
|
72 |
+
dpath==2.2.0
|
73 |
+
dulwich==0.22.1
|
74 |
+
dvc-data==3.16.5
|
75 |
+
dvc-http==2.32.0
|
76 |
+
dvc-objects==5.1.0
|
77 |
+
dvc-render==1.0.2
|
78 |
+
dvc-studio-client==0.21.0
|
79 |
+
dvc-task==0.4.0
|
80 |
+
dvc==3.55.1
|
81 |
+
einops==0.8.0
|
82 |
+
email_validator==2.2.0
|
83 |
+
entrypoints==0.4
|
84 |
+
exceptiongroup==1.2.2
|
85 |
+
executing==2.0.1
|
86 |
+
fastapi-cli==0.0.4
|
87 |
+
fastapi==0.111.1
|
88 |
+
ffmpy==0.3.3
|
89 |
+
filelock==3.15.4
|
90 |
+
fire==0.6.0
|
91 |
+
flatten-dict==0.4.2
|
92 |
+
flufl.lock==8.1.0
|
93 |
+
fonttools==4.53.1
|
94 |
+
frozenlist==1.4.1
|
95 |
+
fsspec==2024.5.0
|
96 |
+
funcy==2.0
|
97 |
+
fusepy==3.0.1
|
98 |
+
gitdb==4.0.11
|
99 |
+
gmpy2==2.1.5
|
100 |
+
gql==3.5.0
|
101 |
+
gradio==4.39.0
|
102 |
+
gradio_client==1.1.1
|
103 |
+
gradio_multimodalchatbot==0.0.1
|
104 |
+
grandalf==0.8
|
105 |
+
grapheme==0.6.0
|
106 |
+
graphql-core==3.2.3
|
107 |
+
grpcio==1.65.1
|
108 |
+
gto==1.7.1
|
109 |
+
h11==0.14.0
|
110 |
+
h2==4.1.0
|
111 |
+
hjson==3.1.0
|
112 |
+
hpack==4.0.0
|
113 |
+
httpcore==1.0.5
|
114 |
+
httptools==0.6.1
|
115 |
+
httpx==0.27.2
|
116 |
+
huggingface-hub==0.24.3
|
117 |
+
hydra-core==1.3.2
|
118 |
+
hyperframe==6.0.1
|
119 |
+
identify==2.6.0
|
120 |
+
idna==3.7
|
121 |
+
imageio-ffmpeg==0.5.1
|
122 |
+
imageio==2.35.1
|
123 |
+
importlib_metadata==8.0.0
|
124 |
+
importlib_metadata==8.2.0
|
125 |
+
importlib_resources==6.4.0
|
126 |
+
importlib_resources==6.4.0
|
127 |
+
inflect==7.3.1
|
128 |
+
iniconfig==2.0.0
|
129 |
+
interegular==0.3.3
|
130 |
+
ipykernel==6.29.5
|
131 |
+
ipython==8.26.0
|
132 |
+
iterative-telemetry==0.0.8
|
133 |
+
jaraco.context==5.3.0
|
134 |
+
jaraco.functools==4.0.1
|
135 |
+
jaraco.text==3.12.1
|
136 |
+
jedi==0.19.1
|
137 |
+
jmespath==1.0.1
|
138 |
+
joblib==1.4.2
|
139 |
+
jsonschema-specifications==2023.12.1
|
140 |
+
jsonschema==4.23.0
|
141 |
+
jupyter_client==8.6.2
|
142 |
+
jupyter_core==5.7.2
|
143 |
+
kiwisolver==1.4.5
|
144 |
+
kombu==5.4.0
|
145 |
+
lark==1.1.9
|
146 |
+
lazy_loader==0.4
|
147 |
+
librosa==0.10.2.post1
|
148 |
+
llamafactory==0.8.4.dev0
|
149 |
+
llamafactory==0.8.4.dev0
|
150 |
+
llvmlite==0.43.0
|
151 |
+
lm-format-enforcer==0.10.3
|
152 |
+
lxml==5.3.0
|
153 |
+
markdown-it-py==3.0.0
|
154 |
+
marshmallow==3.22.0
|
155 |
+
matplotlib-inline==0.1.7
|
156 |
+
matplotlib==3.9.1
|
157 |
+
mdurl==0.1.2
|
158 |
+
mmsg==0.1.dev14+gbd2b056.d20240803
|
159 |
+
more-itertools==10.3.0
|
160 |
+
moviepy==1.0.3
|
161 |
+
mpi4py==4.0.0
|
162 |
+
mpmath==1.3.0
|
163 |
+
msgpack==1.0.8
|
164 |
+
multidict==6.0.5
|
165 |
+
multiprocess==0.70.16
|
166 |
+
mypy-extensions==1.0.0
|
167 |
+
nest_asyncio==1.6.0
|
168 |
+
networkx==3.3
|
169 |
+
ninja==1.11.1.1
|
170 |
+
nodeenv==1.9.1
|
171 |
+
numba==0.60.0
|
172 |
+
numpy==1.26.4
|
173 |
+
nvidia-cublas-cu12==12.1.3.1
|
174 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
175 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
176 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
177 |
+
nvidia-cudnn-cu12==8.9.2.26
|
178 |
+
nvidia-cufft-cu12==11.0.2.54
|
179 |
+
nvidia-curand-cu12==10.3.2.106
|
180 |
+
nvidia-cusolver-cu12==11.4.5.107
|
181 |
+
nvidia-cusparse-cu12==12.1.0.106
|
182 |
+
nvidia-ml-py==12.535.161
|
183 |
+
nvidia-nccl-cu12==2.20.5
|
184 |
+
nvidia-nvjitlink-cu12==12.5.82
|
185 |
+
nvidia-nvtx-cu12==12.1.105
|
186 |
+
nvitop==1.3.2
|
187 |
+
omegaconf==2.3.0
|
188 |
+
openai==1.37.1
|
189 |
+
optree==0.12.1
|
190 |
+
ordered-set==4.1.0
|
191 |
+
orjson==3.10.6
|
192 |
+
outlines==0.0.47.dev37+g26e2934
|
193 |
+
packaging==24.1
|
194 |
+
packaging==24.1
|
195 |
+
pandas==2.2.2
|
196 |
+
parso==0.8.4
|
197 |
+
pathspec==0.12.1
|
198 |
+
pathvalidate==3.0.0
|
199 |
+
peft==0.12.0
|
200 |
+
pexpect==4.9.0
|
201 |
+
pickleshare==0.7.5
|
202 |
+
pillow==10.4.0
|
203 |
+
pip==24.0
|
204 |
+
platformdirs==3.11.0
|
205 |
+
platformdirs==4.2.2
|
206 |
+
pluggy==1.5.0
|
207 |
+
pooch==1.8.2
|
208 |
+
pre-commit==3.8.0
|
209 |
+
proglog==0.1.10
|
210 |
+
prometheus-fastapi-instrumentator==7.0.0
|
211 |
+
prometheus_client==0.20.0
|
212 |
+
prompt_toolkit==3.0.47
|
213 |
+
protobuf==4.25.4
|
214 |
+
psutil==6.0.0
|
215 |
+
ptyprocess==0.7.0
|
216 |
+
pure_eval==0.2.3
|
217 |
+
py-cpuinfo==9.0.0
|
218 |
+
pyairports==2.1.1
|
219 |
+
pyarrow-hotfix==0.6
|
220 |
+
pyarrow==17.0.0
|
221 |
+
pyav==13.0.0
|
222 |
+
pycountry==24.6.1
|
223 |
+
pycparser==2.22
|
224 |
+
pydantic==2.8.2
|
225 |
+
pydantic_core==2.20.1
|
226 |
+
pydot==3.0.1
|
227 |
+
pydub==0.25.1
|
228 |
+
pygit2==1.15.1
|
229 |
+
pygtrie==2.5.0
|
230 |
+
pyparsing==3.1.2
|
231 |
+
pytest==8.3.2
|
232 |
+
python-dateutil==2.9.0
|
233 |
+
python-dateutil==2.9.0.post0
|
234 |
+
python-dotenv==1.0.1
|
235 |
+
python-multipart==0.0.9
|
236 |
+
pytz==2024.1
|
237 |
+
pyzmq==26.0.3
|
238 |
+
ranger-fm==1.9.3
|
239 |
+
ray==2.34.0
|
240 |
+
referencing==0.35.1
|
241 |
+
regex==2024.7.24
|
242 |
+
requests-toolbelt==1.0.0
|
243 |
+
requests==2.32.3
|
244 |
+
rfc3986==1.5.0
|
245 |
+
rich==13.1.0
|
246 |
+
rpds-py==0.19.1
|
247 |
+
ruamel.yaml.clib==0.2.8
|
248 |
+
ruamel.yaml==0.18.6
|
249 |
+
ruff==0.5.5
|
250 |
+
s3transfer==0.10.2
|
251 |
+
safetensors==0.4.3
|
252 |
+
scikit-learn==1.5.1
|
253 |
+
scipy==1.14.0
|
254 |
+
scmrepo==3.3.7
|
255 |
+
semantic-version==2.10.0
|
256 |
+
semver==3.0.2
|
257 |
+
sentencepiece==0.2.0
|
258 |
+
sentry-sdk==2.11.0
|
259 |
+
setproctitle==1.3.3
|
260 |
+
setuptools==71.0.4
|
261 |
+
shellingham==1.5.4
|
262 |
+
shortuuid==1.0.13
|
263 |
+
shtab==1.7.1
|
264 |
+
six==1.16.0
|
265 |
+
smmap==5.0.1
|
266 |
+
sniffio==1.3.1
|
267 |
+
soundfile==0.12.1
|
268 |
+
soxr==0.4.0
|
269 |
+
sqltrie==0.11.1
|
270 |
+
sse-starlette==2.1.3
|
271 |
+
stack-data==0.6.2
|
272 |
+
starlette==0.37.2
|
273 |
+
sympy==1.13.0
|
274 |
+
tabulate==0.9.0
|
275 |
+
tenacity==8.2.3
|
276 |
+
tensorboard-data-server==0.7.2
|
277 |
+
tensorboard==2.17.0
|
278 |
+
term-image==0.7.2
|
279 |
+
termcolor==2.4.0
|
280 |
+
threadpoolctl==3.5.0
|
281 |
+
tiktoken==0.7.0
|
282 |
+
tokenizers==0.19.1
|
283 |
+
tomli==2.0.1
|
284 |
+
tomlkit==0.12.0
|
285 |
+
torch==2.3.1
|
286 |
+
torch==2.4.0
|
287 |
+
torchaudio==2.4.0
|
288 |
+
torchvision==0.18.1
|
289 |
+
torchvision==0.19.0
|
290 |
+
tornado==6.4.1
|
291 |
+
tqdm==4.66.4
|
292 |
+
traitlets==5.14.3
|
293 |
+
transformers==4.45.0.dev0
|
294 |
+
treelib==1.6.4
|
295 |
+
triton==2.3.1
|
296 |
+
triton==3.0.0
|
297 |
+
trl==0.9.6
|
298 |
+
typeguard==4.3.0
|
299 |
+
typer==0.12.3
|
300 |
+
typing-inspect==0.9.0
|
301 |
+
typing_extensions==4.12.2
|
302 |
+
typing_extensions==4.12.2
|
303 |
+
tyro==0.8.10
|
304 |
+
tzdata==2024.1
|
305 |
+
urllib3==2.2.2
|
306 |
+
uvicorn==0.30.3
|
307 |
+
uvloop==0.19.0
|
308 |
+
vine==5.1.0
|
309 |
+
virtualenv==20.26.3
|
310 |
+
vllm-flash-attn==2.5.9.post1
|
311 |
+
vllm==0.5.3.post1
|
312 |
+
voluptuous==0.15.2
|
313 |
+
wandb==0.17.5
|
314 |
+
watchfiles==0.22.0
|
315 |
+
wcwidth==0.2.13
|
316 |
+
websockets==11.0.3
|
317 |
+
wheel==0.43.0
|
318 |
+
wheel==0.43.0
|
319 |
+
xformers==0.0.27
|
320 |
+
xxhash==3.4.1
|
321 |
+
yarl==1.9.4
|
322 |
+
zc.lockfile==3.0.post1
|
323 |
+
zipp==3.19.2
|
324 |
+
zipp==3.19.2
|
325 |
+
zstandard==0.23.0
|
wandb/run-20240921_050939-9z0w7l09/files/wandb-metadata.json
ADDED
@@ -0,0 +1,1215 @@
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|
1 |
+
{
|
2 |
+
"os": "Linux-5.15.0-1040-nvidia-x86_64-with-glibc2.35",
|
3 |
+
"python": "3.11.9",
|
4 |
+
"heartbeatAt": "2024-09-20T21:09:40.930520",
|
5 |
+
"startedAt": "2024-09-20T21:09:39.790516",
|
6 |
+
"docker": null,
|
7 |
+
"cuda": null,
|
8 |
+
"args": [
|
9 |
+
"--local_rank=0",
|
10 |
+
"--model_name_or_path",
|
11 |
+
"/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct",
|
12 |
+
"--train_datasets",
|
13 |
+
"/aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted",
|
14 |
+
"--output_dir",
|
15 |
+
"../outputs/dpo_tiv2t_1.5k_base",
|
16 |
+
"--train_data_files",
|
17 |
+
"extracted_preference_1.5k_washed.json",
|
18 |
+
"--train_template",
|
19 |
+
"NExTQA_preference",
|
20 |
+
"--train_split",
|
21 |
+
"train",
|
22 |
+
"--per_device_train_batch_size",
|
23 |
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|
1 |
+
name: hantao_tiv
|
2 |
+
channels:
|
3 |
+
- nvidia/label/cuda-12.1.0
|
4 |
+
- nvidia
|
5 |
+
- pytorch
|
6 |
+
- huggingface
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aom=3.9.1=hac33072_0
|
13 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
14 |
+
- blas=1.0=mkl
|
15 |
+
- brotli-python=1.1.0=py311hb755f60_1
|
16 |
+
- bzip2=1.0.8=h4bc722e_7
|
17 |
+
- ca-certificates=2024.7.4=hbcca054_0
|
18 |
+
- cairo=1.18.0=hebfffa5_3
|
19 |
+
- certifi=2024.7.4=pyhd8ed1ab_0
|
20 |
+
- cffi=1.16.0=py311hb3a22ac_0
|
21 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
22 |
+
- comm=0.2.2=pyhd8ed1ab_0
|
23 |
+
- cuda=12.1.0=0
|
24 |
+
- cuda-cccl=12.1.55=0
|
25 |
+
- cuda-command-line-tools=12.1.0=0
|
26 |
+
- cuda-compiler=12.1.0=0
|
27 |
+
- cuda-cudart=12.1.55=0
|
28 |
+
- cuda-cudart-dev=12.1.55=0
|
29 |
+
- cuda-cudart-static=12.1.55=0
|
30 |
+
- cuda-cuobjdump=12.1.55=0
|
31 |
+
- cuda-cupti=12.1.62=0
|
32 |
+
- cuda-cupti-static=12.1.62=0
|
33 |
+
- cuda-cuxxfilt=12.1.55=0
|
34 |
+
- cuda-demo-suite=12.1.55=0
|
35 |
+
- cuda-documentation=12.1.55=0
|
36 |
+
- cuda-driver-dev=12.1.55=0
|
37 |
+
- cuda-gdb=12.1.55=0
|
38 |
+
- cuda-libraries=12.1.0=0
|
39 |
+
- cuda-libraries-dev=12.1.0=0
|
40 |
+
- cuda-libraries-static=12.1.0=0
|
41 |
+
- cuda-nsight=12.1.55=0
|
42 |
+
- cuda-nsight-compute=12.1.0=0
|
43 |
+
- cuda-nvcc=12.1.66=0
|
44 |
+
- cuda-nvdisasm=12.1.55=0
|
45 |
+
- cuda-nvml-dev=12.1.55=0
|
46 |
+
- cuda-nvprof=12.1.55=0
|
47 |
+
- cuda-nvprune=12.1.55=0
|
48 |
+
- cuda-nvrtc=12.1.55=0
|
49 |
+
- cuda-nvrtc-dev=12.1.55=0
|
50 |
+
- cuda-nvrtc-static=12.1.55=0
|
51 |
+
- cuda-nvtx=12.1.66=0
|
52 |
+
- cuda-nvvp=12.1.55=0
|
53 |
+
- cuda-opencl=12.1.56=0
|
54 |
+
- cuda-opencl-dev=12.1.56=0
|
55 |
+
- cuda-profiler-api=12.1.55=0
|
56 |
+
- cuda-runtime=12.1.0=0
|
57 |
+
- cuda-sanitizer-api=12.1.55=0
|
58 |
+
- cuda-toolkit=12.1.0=0
|
59 |
+
- cuda-tools=12.1.0=0
|
60 |
+
- cuda-visual-tools=12.1.0=0
|
61 |
+
- dav1d=1.2.1=hd590300_0
|
62 |
+
- debugpy=1.8.2=py311h4332511_0
|
63 |
+
- exceptiongroup=1.2.2=pyhd8ed1ab_0
|
64 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
65 |
+
- expat=2.6.2=h59595ed_0
|
66 |
+
- ffmpeg=7.0.1=gpl_h9be9148_104
|
67 |
+
- filelock=3.15.4=pyhd8ed1ab_0
|
68 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
69 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
70 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
71 |
+
- font-ttf-ubuntu=0.83=h77eed37_2
|
72 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
73 |
+
- fonts-conda-ecosystem=1=0
|
74 |
+
- fonts-conda-forge=1=0
|
75 |
+
- freetype=2.12.1=h267a509_2
|
76 |
+
- fribidi=1.0.10=h36c2ea0_0
|
77 |
+
- gds-tools=1.6.0.25=0
|
78 |
+
- gettext=0.22.5=h59595ed_2
|
79 |
+
- gettext-tools=0.22.5=h59595ed_2
|
80 |
+
- git-lfs=3.5.1=ha770c72_0
|
81 |
+
- gmp=6.3.0=hac33072_2
|
82 |
+
- gmpy2=2.1.5=py311hc4f1f91_1
|
83 |
+
- gnutls=3.7.9=hb077bed_0
|
84 |
+
- graphite2=1.3.13=h59595ed_1003
|
85 |
+
- h2=4.1.0=pyhd8ed1ab_0
|
86 |
+
- harfbuzz=9.0.0=hda332d3_1
|
87 |
+
- hpack=4.0.0=pyh9f0ad1d_0
|
88 |
+
- hyperframe=6.0.1=pyhd8ed1ab_0
|
89 |
+
- icu=75.1=he02047a_0
|
90 |
+
- idna=3.7=pyhd8ed1ab_0
|
91 |
+
- importlib-metadata=8.2.0=pyha770c72_0
|
92 |
+
- importlib_metadata=8.2.0=hd8ed1ab_0
|
93 |
+
- intel-openmp=2022.0.1=h06a4308_3633
|
94 |
+
- ipykernel=6.29.5=pyh3099207_0
|
95 |
+
- ipython=8.26.0=pyh707e725_0
|
96 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
97 |
+
- jinja2=3.1.4=pyhd8ed1ab_0
|
98 |
+
- jupyter_client=8.6.2=pyhd8ed1ab_0
|
99 |
+
- jupyter_core=5.7.2=py311h38be061_0
|
100 |
+
- keyutils=1.6.1=h166bdaf_0
|
101 |
+
- krb5=1.21.3=h659f571_0
|
102 |
+
- lame=3.100=h166bdaf_1003
|
103 |
+
- lcms2=2.16=hb7c19ff_0
|
104 |
+
- ld_impl_linux-64=2.40=hf3520f5_7
|
105 |
+
- lerc=4.0.0=h27087fc_0
|
106 |
+
- libabseil=20240116.2=cxx17_he02047a_1
|
107 |
+
- libasprintf=0.22.5=h661eb56_2
|
108 |
+
- libasprintf-devel=0.22.5=h661eb56_2
|
109 |
+
- libass=0.17.1=h39113c1_2
|
110 |
+
- libblas=3.9.0=16_linux64_mkl
|
111 |
+
- libcblas=3.9.0=16_linux64_mkl
|
112 |
+
- libcublas=12.1.0.26=0
|
113 |
+
- libcublas-dev=12.1.0.26=0
|
114 |
+
- libcublas-static=12.1.0.26=0
|
115 |
+
- libcufft=11.0.2.4=0
|
116 |
+
- libcufft-dev=11.0.2.4=0
|
117 |
+
- libcufft-static=11.0.2.4=0
|
118 |
+
- libcufile=1.6.0.25=0
|
119 |
+
- libcufile-dev=1.6.0.25=0
|
120 |
+
- libcufile-static=1.6.0.25=0
|
121 |
+
- libcurand=10.3.2.56=0
|
122 |
+
- libcurand-dev=10.3.2.56=0
|
123 |
+
- libcurand-static=10.3.2.56=0
|
124 |
+
- libcusolver=11.4.4.55=0
|
125 |
+
- libcusolver-dev=11.4.4.55=0
|
126 |
+
- libcusolver-static=11.4.4.55=0
|
127 |
+
- libcusparse=12.0.2.55=0
|
128 |
+
- libcusparse-dev=12.0.2.55=0
|
129 |
+
- libcusparse-static=12.0.2.55=0
|
130 |
+
- libdeflate=1.20=hd590300_0
|
131 |
+
- libdrm=2.4.122=h4ab18f5_0
|
132 |
+
- libedit=3.1.20191231=he28a2e2_2
|
133 |
+
- libexpat=2.6.2=h59595ed_0
|
134 |
+
- libffi=3.4.2=h7f98852_5
|
135 |
+
- libgcc-ng=14.1.0=h77fa898_0
|
136 |
+
- libgettextpo=0.22.5=h59595ed_2
|
137 |
+
- libgettextpo-devel=0.22.5=h59595ed_2
|
138 |
+
- libglib=2.80.3=h8a4344b_1
|
139 |
+
- libgomp=14.1.0=h77fa898_0
|
140 |
+
- libhwloc=2.11.1=default_hecaa2ac_1000
|
141 |
+
- libiconv=1.17=hd590300_2
|
142 |
+
- libidn2=2.3.7=hd590300_0
|
143 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
144 |
+
- liblapack=3.9.0=16_linux64_mkl
|
145 |
+
- libnpp=12.0.2.50=0
|
146 |
+
- libnpp-dev=12.0.2.50=0
|
147 |
+
- libnpp-static=12.0.2.50=0
|
148 |
+
- libnsl=2.0.1=hd590300_0
|
149 |
+
- libnvjitlink=12.1.105=0
|
150 |
+
- libnvjitlink-dev=12.1.55=0
|
151 |
+
- libnvjpeg=12.1.0.39=0
|
152 |
+
- libnvjpeg-dev=12.1.0.39=0
|
153 |
+
- libnvjpeg-static=12.1.0.39=0
|
154 |
+
- libnvvm-samples=12.1.55=0
|
155 |
+
- libopenvino=2024.2.0=h2da1b83_1
|
156 |
+
- libopenvino-auto-batch-plugin=2024.2.0=hb045406_1
|
157 |
+
- libopenvino-auto-plugin=2024.2.0=hb045406_1
|
158 |
+
- libopenvino-hetero-plugin=2024.2.0=h5c03a75_1
|
159 |
+
- libopenvino-intel-cpu-plugin=2024.2.0=h2da1b83_1
|
160 |
+
- libopenvino-intel-gpu-plugin=2024.2.0=h2da1b83_1
|
161 |
+
- libopenvino-intel-npu-plugin=2024.2.0=he02047a_1
|
162 |
+
- libopenvino-ir-frontend=2024.2.0=h5c03a75_1
|
163 |
+
- libopenvino-onnx-frontend=2024.2.0=h07e8aee_1
|
164 |
+
- libopenvino-paddle-frontend=2024.2.0=h07e8aee_1
|
165 |
+
- libopenvino-pytorch-frontend=2024.2.0=he02047a_1
|
166 |
+
- libopenvino-tensorflow-frontend=2024.2.0=h39126c6_1
|
167 |
+
- libopenvino-tensorflow-lite-frontend=2024.2.0=he02047a_1
|
168 |
+
- libopus=1.3.1=h7f98852_1
|
169 |
+
- libpciaccess=0.18=hd590300_0
|
170 |
+
- libpng=1.6.43=h2797004_0
|
171 |
+
- libprotobuf=4.25.3=h08a7969_0
|
172 |
+
- libsodium=1.0.18=h36c2ea0_1
|
173 |
+
- libsqlite=3.46.0=hde9e2c9_0
|
174 |
+
- libstdcxx-ng=14.1.0=hc0a3c3a_0
|
175 |
+
- libtasn1=4.19.0=h166bdaf_0
|
176 |
+
- libtiff=4.6.0=h1dd3fc0_3
|
177 |
+
- libunistring=0.9.10=h7f98852_0
|
178 |
+
- libuuid=2.38.1=h0b41bf4_0
|
179 |
+
- libva=2.22.0=hb711507_0
|
180 |
+
- libvpx=1.14.1=hac33072_0
|
181 |
+
- libwebp-base=1.4.0=hd590300_0
|
182 |
+
- libxcb=1.16=hd590300_0
|
183 |
+
- libxcrypt=4.4.36=hd590300_1
|
184 |
+
- libxml2=2.12.7=he7c6b58_4
|
185 |
+
- libzlib=1.3.1=h4ab18f5_1
|
186 |
+
- llvm-openmp=15.0.7=h0cdce71_0
|
187 |
+
- markupsafe=2.1.5=py311h459d7ec_0
|
188 |
+
- matplotlib-inline=0.1.7=pyhd8ed1ab_0
|
189 |
+
- mkl=2022.1.0=hc2b9512_224
|
190 |
+
- mpc=1.3.1=hfe3b2da_0
|
191 |
+
- mpfr=4.2.1=h38ae2d0_2
|
192 |
+
- mpmath=1.3.0=pyhd8ed1ab_0
|
193 |
+
- ncurses=6.5=h59595ed_0
|
194 |
+
- nest-asyncio=1.6.0=pyhd8ed1ab_0
|
195 |
+
- nettle=3.9.1=h7ab15ed_0
|
196 |
+
- networkx=3.3=pyhd8ed1ab_1
|
197 |
+
- nsight-compute=2023.1.0.15=0
|
198 |
+
- ocl-icd=2.3.2=hd590300_1
|
199 |
+
- openh264=2.4.1=h59595ed_0
|
200 |
+
- openjpeg=2.5.2=h488ebb8_0
|
201 |
+
- openssl=3.3.1=h4bc722e_2
|
202 |
+
- p11-kit=0.24.1=hc5aa10d_0
|
203 |
+
- packaging=24.1=pyhd8ed1ab_0
|
204 |
+
- parso=0.8.4=pyhd8ed1ab_0
|
205 |
+
- pcre2=10.44=h0f59acf_0
|
206 |
+
- pexpect=4.9.0=pyhd8ed1ab_0
|
207 |
+
- pickleshare=0.7.5=py_1003
|
208 |
+
- pillow=10.4.0=py311h82a398c_0
|
209 |
+
- pip=24.0=pyhd8ed1ab_0
|
210 |
+
- pixman=0.43.2=h59595ed_0
|
211 |
+
- prompt-toolkit=3.0.47=pyha770c72_0
|
212 |
+
- psutil=6.0.0=py311h331c9d8_0
|
213 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
214 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
215 |
+
- pugixml=1.14=h59595ed_0
|
216 |
+
- pure_eval=0.2.3=pyhd8ed1ab_0
|
217 |
+
- pycparser=2.22=pyhd8ed1ab_0
|
218 |
+
- pygments=2.18.0=pyhd8ed1ab_0
|
219 |
+
- pysocks=1.7.1=pyha2e5f31_6
|
220 |
+
- python=3.11.9=hb806964_0_cpython
|
221 |
+
- python_abi=3.11=4_cp311
|
222 |
+
- pytorch=2.4.0=py3.11_cuda12.1_cudnn9.1.0_0
|
223 |
+
- pytorch-cuda=12.1=ha16c6d3_5
|
224 |
+
- pytorch-mutex=1.0=cuda
|
225 |
+
- pyyaml=6.0.1=py311h459d7ec_1
|
226 |
+
- pyzmq=26.0.3=py311h08a0b41_0
|
227 |
+
- readline=8.2=h8228510_1
|
228 |
+
- requests=2.32.3=pyhd8ed1ab_0
|
229 |
+
- setuptools=71.0.4=pyhd8ed1ab_0
|
230 |
+
- six=1.16.0=pyh6c4a22f_0
|
231 |
+
- snappy=1.2.1=ha2e4443_0
|
232 |
+
- stack_data=0.6.2=pyhd8ed1ab_0
|
233 |
+
- svt-av1=2.1.2=hac33072_0
|
234 |
+
- sympy=1.13.0=pypyh2585a3b_103
|
235 |
+
- tbb=2021.12.0=h434a139_3
|
236 |
+
- tk=8.6.13=noxft_h4845f30_101
|
237 |
+
- torchaudio=2.4.0=py311_cu121
|
238 |
+
- torchtriton=3.0.0=py311
|
239 |
+
- tornado=6.4.1=py311h331c9d8_0
|
240 |
+
- traitlets=5.14.3=pyhd8ed1ab_0
|
241 |
+
- typing_extensions=4.12.2=pyha770c72_0
|
242 |
+
- urllib3=2.2.2=pyhd8ed1ab_1
|
243 |
+
- wayland=1.23.0=h5291e77_0
|
244 |
+
- wayland-protocols=1.36=hd8ed1ab_0
|
245 |
+
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|
246 |
+
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|
247 |
+
- x264=1!164.3095=h166bdaf_2
|
248 |
+
- x265=3.5=h924138e_3
|
249 |
+
- xorg-fixesproto=5.0=h7f98852_1002
|
250 |
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- xorg-kbproto=1.0.7=h7f98852_1002
|
251 |
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- xorg-libice=1.1.1=hd590300_0
|
252 |
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- xorg-libsm=1.2.4=h7391055_0
|
253 |
+
- xorg-libx11=1.8.9=hb711507_1
|
254 |
+
- xorg-libxau=1.0.11=hd590300_0
|
255 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
256 |
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|
257 |
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- xorg-libxfixes=5.0.3=h7f98852_1004
|
258 |
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- xorg-libxrender=0.9.11=hd590300_0
|
259 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
260 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
261 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
262 |
+
- xz=5.2.6=h166bdaf_0
|
263 |
+
- yaml=0.2.5=h7f98852_2
|
264 |
+
- zeromq=4.3.5=h75354e8_4
|
265 |
+
- zipp=3.19.2=pyhd8ed1ab_0
|
266 |
+
- zlib=1.3.1=h4ab18f5_1
|
267 |
+
- zstandard=0.23.0=py311h5cd10c7_0
|
268 |
+
- zstd=1.5.6=ha6fb4c9_0
|
269 |
+
- pip:
|
270 |
+
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|
271 |
+
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|
272 |
+
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|
273 |
+
- aiofiles==23.2.1
|
274 |
+
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|
275 |
+
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|
276 |
+
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|
277 |
+
- align-anything==0.0.1.dev0
|
278 |
+
- alive-progress==3.1.5
|
279 |
+
- amqp==5.2.0
|
280 |
+
- annotated-types==0.7.0
|
281 |
+
- antlr4-python3-runtime==4.9.3
|
282 |
+
- anyio==4.4.0
|
283 |
+
- appdirs==1.4.4
|
284 |
+
- asyncssh==2.16.0
|
285 |
+
- atpublic==5.0
|
286 |
+
- attrs==23.2.0
|
287 |
+
- audioread==3.0.1
|
288 |
+
- backoff==2.2.1
|
289 |
+
- billiard==4.2.0
|
290 |
+
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|
291 |
+
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|
292 |
+
- cachetools==5.4.0
|
293 |
+
- celery==5.4.0
|
294 |
+
- cfgv==3.4.0
|
295 |
+
- click==8.1.7
|
296 |
+
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|
297 |
+
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|
298 |
+
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|
299 |
+
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|
300 |
+
- cmake==3.30.1
|
301 |
+
- colorama==0.4.6
|
302 |
+
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|
303 |
+
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|
304 |
+
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|
305 |
+
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|
306 |
+
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|
307 |
+
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|
308 |
+
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|
309 |
+
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|
310 |
+
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|
311 |
+
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|
312 |
+
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|
313 |
+
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|
314 |
+
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|
315 |
+
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|
316 |
+
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|
317 |
+
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|
318 |
+
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|
319 |
+
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|
320 |
+
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|
321 |
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|
322 |
+
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|
323 |
+
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|
324 |
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|
325 |
+
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|
326 |
+
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|
327 |
+
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|
328 |
+
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|
329 |
+
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|
330 |
+
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|
331 |
+
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|
332 |
+
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|
333 |
+
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|
334 |
+
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|
335 |
+
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|
336 |
+
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|
337 |
+
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|
338 |
+
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|
339 |
+
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|
340 |
+
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|
341 |
+
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|
342 |
+
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|
343 |
+
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|
344 |
+
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|
345 |
+
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|
346 |
+
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|
347 |
+
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|
348 |
+
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|
349 |
+
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|
350 |
+
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|
351 |
+
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|
352 |
+
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|
353 |
+
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|
354 |
+
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|
355 |
+
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|
356 |
+
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|
357 |
+
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|
358 |
+
- hjson==3.1.0
|
359 |
+
- httpcore==1.0.5
|
360 |
+
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|
361 |
+
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|
362 |
+
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|
363 |
+
- hydra-core==1.3.2
|
364 |
+
- identify==2.6.0
|
365 |
+
- imageio==2.35.1
|
366 |
+
- imageio-ffmpeg==0.5.1
|
367 |
+
- importlib-resources==6.4.0
|
368 |
+
- iniconfig==2.0.0
|
369 |
+
- interegular==0.3.3
|
370 |
+
- iterative-telemetry==0.0.8
|
371 |
+
- jmespath==1.0.1
|
372 |
+
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|
373 |
+
- jsonschema==4.23.0
|
374 |
+
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|
375 |
+
- kiwisolver==1.4.5
|
376 |
+
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|
377 |
+
- lark==1.1.9
|
378 |
+
- lazy-loader==0.4
|
379 |
+
- librosa==0.10.2.post1
|
380 |
+
- llamafactory==0.8.4.dev0
|
381 |
+
- llvmlite==0.43.0
|
382 |
+
- lm-format-enforcer==0.10.3
|
383 |
+
- lxml==5.3.0
|
384 |
+
- markdown==3.6
|
385 |
+
- markdown-it-py==3.0.0
|
386 |
+
- marshmallow==3.22.0
|
387 |
+
- matplotlib==3.9.1
|
388 |
+
- mdurl==0.1.2
|
389 |
+
- mmsg==0.1.dev14+gbd2b056.d20240803
|
390 |
+
- moviepy==1.0.3
|
391 |
+
- mpi4py==4.0.0
|
392 |
+
- msgpack==1.0.8
|
393 |
+
- multidict==6.0.5
|
394 |
+
- multiprocess==0.70.16
|
395 |
+
- mypy-extensions==1.0.0
|
396 |
+
- ninja==1.11.1.1
|
397 |
+
- nodeenv==1.9.1
|
398 |
+
- numba==0.60.0
|
399 |
+
- numpy==1.26.4
|
400 |
+
- nvidia-cublas-cu12==12.1.3.1
|
401 |
+
- nvidia-cuda-cupti-cu12==12.1.105
|
402 |
+
- nvidia-cuda-nvrtc-cu12==12.1.105
|
403 |
+
- nvidia-cuda-runtime-cu12==12.1.105
|
404 |
+
- nvidia-cudnn-cu12==8.9.2.26
|
405 |
+
- nvidia-cufft-cu12==11.0.2.54
|
406 |
+
- nvidia-curand-cu12==10.3.2.106
|
407 |
+
- nvidia-cusolver-cu12==11.4.5.107
|
408 |
+
- nvidia-cusparse-cu12==12.1.0.106
|
409 |
+
- nvidia-ml-py==12.535.161
|
410 |
+
- nvidia-nccl-cu12==2.20.5
|
411 |
+
- nvidia-nvjitlink-cu12==12.5.82
|
412 |
+
- nvidia-nvtx-cu12==12.1.105
|
413 |
+
- nvitop==1.3.2
|
414 |
+
- omegaconf==2.3.0
|
415 |
+
- openai==1.37.1
|
416 |
+
- optree==0.12.1
|
417 |
+
- orjson==3.10.6
|
418 |
+
- outlines==0.0.47.dev37+g26e2934
|
419 |
+
- pandas==2.2.2
|
420 |
+
- pathspec==0.12.1
|
421 |
+
- pathvalidate==3.0.0
|
422 |
+
- peft==0.12.0
|
423 |
+
- platformdirs==3.11.0
|
424 |
+
- pluggy==1.5.0
|
425 |
+
- pooch==1.8.2
|
426 |
+
- pre-commit==3.8.0
|
427 |
+
- proglog==0.1.10
|
428 |
+
- prometheus-client==0.20.0
|
429 |
+
- prometheus-fastapi-instrumentator==7.0.0
|
430 |
+
- protobuf==4.25.4
|
431 |
+
- py-cpuinfo==9.0.0
|
432 |
+
- pyairports==2.1.1
|
433 |
+
- pyarrow==17.0.0
|
434 |
+
- pyarrow-hotfix==0.6
|
435 |
+
- pyav==13.0.0
|
436 |
+
- pycountry==24.6.1
|
437 |
+
- pydantic==2.8.2
|
438 |
+
- pydantic-core==2.20.1
|
439 |
+
- pydot==3.0.1
|
440 |
+
- pydub==0.25.1
|
441 |
+
- pygit2==1.15.1
|
442 |
+
- pygtrie==2.5.0
|
443 |
+
- pyparsing==3.1.2
|
444 |
+
- pytest==8.3.2
|
445 |
+
- python-dateutil==2.9.0.post0
|
446 |
+
- python-dotenv==1.0.1
|
447 |
+
- python-multipart==0.0.9
|
448 |
+
- pytz==2024.1
|
449 |
+
- ranger-fm==1.9.3
|
450 |
+
- ray==2.34.0
|
451 |
+
- referencing==0.35.1
|
452 |
+
- regex==2024.7.24
|
453 |
+
- requests-toolbelt==1.0.0
|
454 |
+
- rfc3986==1.5.0
|
455 |
+
- rich==13.1.0
|
456 |
+
- rpds-py==0.19.1
|
457 |
+
- ruamel-yaml==0.18.6
|
458 |
+
- ruamel-yaml-clib==0.2.8
|
459 |
+
- ruff==0.5.5
|
460 |
+
- s3transfer==0.10.2
|
461 |
+
- safetensors==0.4.3
|
462 |
+
- scikit-learn==1.5.1
|
463 |
+
- scipy==1.14.0
|
464 |
+
- scmrepo==3.3.7
|
465 |
+
- semantic-version==2.10.0
|
466 |
+
- semver==3.0.2
|
467 |
+
- sentencepiece==0.2.0
|
468 |
+
- sentry-sdk==2.11.0
|
469 |
+
- setproctitle==1.3.3
|
470 |
+
- shellingham==1.5.4
|
471 |
+
- shortuuid==1.0.13
|
472 |
+
- shtab==1.7.1
|
473 |
+
- smmap==5.0.1
|
474 |
+
- sniffio==1.3.1
|
475 |
+
- soundfile==0.12.1
|
476 |
+
- soxr==0.4.0
|
477 |
+
- sqltrie==0.11.1
|
478 |
+
- sse-starlette==2.1.3
|
479 |
+
- starlette==0.37.2
|
480 |
+
- tabulate==0.9.0
|
481 |
+
- tenacity==8.2.3
|
482 |
+
- tensorboard==2.17.0
|
483 |
+
- tensorboard-data-server==0.7.2
|
484 |
+
- term-image==0.7.2
|
485 |
+
- termcolor==2.4.0
|
486 |
+
- threadpoolctl==3.5.0
|
487 |
+
- tiktoken==0.7.0
|
488 |
+
- tokenizers==0.19.1
|
489 |
+
- tomlkit==0.12.0
|
490 |
+
- torch==2.3.1
|
491 |
+
- torchvision==0.18.1
|
492 |
+
- tqdm==4.66.4
|
493 |
+
- transformers==4.45.0.dev0
|
494 |
+
- treelib==1.6.4
|
495 |
+
- triton==2.3.1
|
496 |
+
- trl==0.9.6
|
497 |
+
- typer==0.12.3
|
498 |
+
- typing-inspect==0.9.0
|
499 |
+
- tyro==0.8.10
|
500 |
+
- tzdata==2024.1
|
501 |
+
- uvicorn==0.30.3
|
502 |
+
- uvloop==0.19.0
|
503 |
+
- vine==5.1.0
|
504 |
+
- virtualenv==20.26.3
|
505 |
+
- vllm==0.5.3.post1
|
506 |
+
- vllm-flash-attn==2.5.9.post1
|
507 |
+
- voluptuous==0.15.2
|
508 |
+
- wandb==0.17.5
|
509 |
+
- watchfiles==0.22.0
|
510 |
+
- websockets==11.0.3
|
511 |
+
- werkzeug==3.0.3
|
512 |
+
- xformers==0.0.27
|
513 |
+
- xxhash==3.4.1
|
514 |
+
- yarl==1.9.4
|
515 |
+
- zc-lockfile==3.0.post1
|
516 |
+
prefix: /aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
wandb/run-20240921_103042-1p62y7m7/files/config.yaml
ADDED
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wandb_version: 1
|
2 |
+
|
3 |
+
train_cfgs:
|
4 |
+
desc: null
|
5 |
+
value:
|
6 |
+
ds_cfgs: ds_z3_config.json
|
7 |
+
epochs: 3
|
8 |
+
seed: 42
|
9 |
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per_device_train_batch_size: 1.0
|
10 |
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per_device_eval_batch_size: 1.0
|
11 |
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gradient_accumulation_steps: 1.0
|
12 |
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gradient_checkpointing: true
|
13 |
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learning_rate: 1.0e-06
|
14 |
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lr_scheduler_type: cosine
|
15 |
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lr_warmup_ratio: 0.01
|
16 |
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weight_decay: 0.0
|
17 |
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adam_betas:
|
18 |
+
- 0.9
|
19 |
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- 0.95
|
20 |
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bf16: true
|
21 |
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fp16: false
|
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eval_strategy: epoch
|
23 |
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eval_interval: 10
|
24 |
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regularization: 0.001
|
25 |
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scale_coeff: 0.1
|
26 |
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freeze_mm_proj: false
|
27 |
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freeze_vision_tower: true
|
28 |
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freeze_language_model: false
|
29 |
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data_cfgs:
|
30 |
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desc: null
|
31 |
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value:
|
32 |
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train_datasets: /aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted
|
33 |
+
train_template: NExTQA_preference
|
34 |
+
train_size: null
|
35 |
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train_split: train
|
36 |
+
train_subset: null
|
37 |
+
train_data_files: extracted_preference_1.5k_washed.json
|
38 |
+
train_optional_args: []
|
39 |
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eval_datasets: null
|
40 |
+
eval_template: null
|
41 |
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eval_size: null
|
42 |
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eval_split: null
|
43 |
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eval_subset: null
|
44 |
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eval_data_files: null
|
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eval_optional_args: []
|
46 |
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logger_cfgs:
|
47 |
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desc: null
|
48 |
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value:
|
49 |
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log_type: wandb
|
50 |
+
log_project: align-anything
|
51 |
+
log_run_name: dpo
|
52 |
+
output_dir: ../outputs/dpo_tiv2t_1.5k_base
|
53 |
+
cache_dir: null
|
54 |
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save_interval: 100000
|
55 |
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model_cfgs:
|
56 |
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desc: null
|
57 |
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value:
|
58 |
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model_name_or_path: /aifs4su/yaodong/models/Qwen2-VL-7B-Instruct
|
59 |
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trust_remote_code: true
|
60 |
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model_max_length: 4096
|
61 |
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special_tokens:
|
62 |
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desc: null
|
63 |
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value: null
|
64 |
+
_wandb:
|
65 |
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desc: null
|
66 |
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value:
|
67 |
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python_version: 3.11.9
|
68 |
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cli_version: 0.17.5
|
69 |
+
framework: huggingface
|
70 |
+
huggingface_version: 4.45.0.dev0
|
71 |
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is_jupyter_run: false
|
72 |
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is_kaggle_kernel: false
|
73 |
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start_time: 1726885842
|
74 |
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t:
|
75 |
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1:
|
76 |
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- 1
|
77 |
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- 5
|
78 |
+
- 11
|
79 |
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- 41
|
80 |
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- 49
|
81 |
+
- 51
|
82 |
+
- 53
|
83 |
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- 55
|
84 |
+
- 71
|
85 |
+
- 83
|
86 |
+
- 98
|
87 |
+
- 105
|
88 |
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2:
|
89 |
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- 1
|
90 |
+
- 5
|
91 |
+
- 11
|
92 |
+
- 41
|
93 |
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- 49
|
94 |
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- 51
|
95 |
+
- 53
|
96 |
+
- 55
|
97 |
+
- 71
|
98 |
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- 83
|
99 |
+
- 98
|
100 |
+
- 105
|
101 |
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3:
|
102 |
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- 13
|
103 |
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- 16
|
104 |
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- 23
|
105 |
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- 61
|
106 |
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4: 3.11.9
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107 |
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5: 0.17.5
|
108 |
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6: 4.45.0.dev0
|
109 |
+
8:
|
110 |
+
- 5
|
111 |
+
13: linux-x86_64
|
wandb/run-20240921_103042-1p62y7m7/files/output.log
ADDED
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1 |
+
|
2 |
+
***** Running training *****
|
3 |
+
|
4 |
+
Training 1/3 epoch: 0%| | 0/531 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
5 |
+
/aifs4su/yaodong/miniconda3/envs/hantao_tiv/lib/python3.11/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
|
6 |
+
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
|
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|
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|
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|
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|
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Training 1/3 epoch (loss 2.0371): 2%|██▍ | 9/531 [01:25<1:12:46, 8.36s/it]
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Training 1/3 epoch (loss 0.9317): 4%|█████ | 19/531 [02:44<1:06:03, 7.74s/it]
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Training 1/3 epoch (loss 0.9305): 5%|███████▋ | 29/531 [04:14<1:13:48, 8.82s/it]
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Training 1/3 epoch (loss 0.7844): 7%|██████████▎ | 39/531 [05:45<1:13:24, 8.95s/it]
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Training 1/3 epoch (loss 1.7453): 9%|█████████████ | 49/531 [07:02<1:01:45, 7.69s/it]
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Training 1/3 epoch (loss 0.4600): 11%|███████████████▉ | 59/531 [08:27<59:54, 7.62s/it]
|
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Training 1/3 epoch (loss 0.6254): 13%|██████████████████▌ | 69/531 [09:39<58:09, 7.55s/it]
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Training 1/3 epoch (loss 0.8718): 15%|████████████████████▉ | 79/531 [11:15<1:02:01, 8.23s/it]
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Training 1/3 epoch (loss 0.5030): 17%|███████████████████████▉ | 89/531 [12:31<56:52, 7.72s/it]
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Training 1/3 epoch (loss 0.2948): 19%|██████████████████████████▋ | 99/531 [13:59<55:37, 7.73s/it]
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Training 1/3 epoch (loss 0.5259): 21%|█████████████████████████████▏ | 109/531 [15:17<58:12, 8.28s/it]
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Training 1/3 epoch (loss 1.0179): 22%|███████████████████████████████▊ | 119/531 [16:38<51:04, 7.44s/it]
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Training 1/3 epoch (loss 0.2882): 24%|██████████████████████████████████▍ | 129/531 [17:50<51:06, 7.63s/it]
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Training 1/3 epoch (loss 0.6585): 26%|█████████████████████████████████████▏ | 139/531 [19:02<48:02, 7.35s/it]
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Training 1/3 epoch (loss 0.2897): 28%|███████████████████████████████████████▎ | 149/531 [20:27<1:01:00, 9.58s/it]
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Training 1/3 epoch (loss 0.6085): 30%|██████████████████████████████████████████▌ | 159/531 [21:59<47:04, 7.59s/it]
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|
wandb/run-20240921_103042-1p62y7m7/files/requirements.txt
ADDED
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1 |
+
Brotli==1.1.0
|
2 |
+
GitPython==3.1.43
|
3 |
+
Jinja2==3.1.4
|
4 |
+
Markdown==3.6
|
5 |
+
MarkupSafe==2.1.5
|
6 |
+
PySocks==1.7.1
|
7 |
+
PyYAML==6.0.1
|
8 |
+
Pygments==2.18.0
|
9 |
+
Werkzeug==3.0.3
|
10 |
+
about-time==4.2.1
|
11 |
+
absl-py==2.1.0
|
12 |
+
accelerate==0.34.0
|
13 |
+
aiofiles==23.2.1
|
14 |
+
aiohttp-retry==2.8.3
|
15 |
+
aiohttp==3.9.5
|
16 |
+
aiosignal==1.3.1
|
17 |
+
align-anything==0.0.1.dev0
|
18 |
+
align-anything==0.0.1.dev0
|
19 |
+
alive-progress==3.1.5
|
20 |
+
amqp==5.2.0
|
21 |
+
annotated-types==0.7.0
|
22 |
+
antlr4-python3-runtime==4.9.3
|
23 |
+
anyio==4.4.0
|
24 |
+
appdirs==1.4.4
|
25 |
+
asttokens==2.4.1
|
26 |
+
asyncssh==2.16.0
|
27 |
+
atpublic==5.0
|
28 |
+
attrs==23.2.0
|
29 |
+
audioread==3.0.1
|
30 |
+
autocommand==2.2.2
|
31 |
+
backoff==2.2.1
|
32 |
+
backports.tarfile==1.2.0
|
33 |
+
billiard==4.2.0
|
34 |
+
boto3==1.35.9
|
35 |
+
botocore==1.35.9
|
36 |
+
cachetools==5.4.0
|
37 |
+
celery==5.4.0
|
38 |
+
certifi==2024.7.4
|
39 |
+
cffi==1.16.0
|
40 |
+
cfgv==3.4.0
|
41 |
+
charset-normalizer==3.3.2
|
42 |
+
click-didyoumean==0.3.1
|
43 |
+
click-plugins==1.1.1
|
44 |
+
click-repl==0.3.0
|
45 |
+
click==8.1.7
|
46 |
+
cloudpickle==3.0.0
|
47 |
+
cmake==3.30.1
|
48 |
+
colorama==0.4.6
|
49 |
+
comm==0.2.2
|
50 |
+
commonmark==0.9.1
|
51 |
+
configobj==5.0.8
|
52 |
+
contourpy==1.2.1
|
53 |
+
cryptography==43.0.0
|
54 |
+
cycler==0.12.1
|
55 |
+
dacite==1.6.0
|
56 |
+
dagshub-annotation-converter==0.1.0
|
57 |
+
dagshub==0.3.35
|
58 |
+
dataclasses-json==0.6.7
|
59 |
+
datasets==2.20.0
|
60 |
+
debugpy==1.8.2
|
61 |
+
decorator==4.4.2
|
62 |
+
deepspeed==0.14.4
|
63 |
+
dictdiffer==0.9.0
|
64 |
+
diffusers==0.29.2
|
65 |
+
dill==0.3.8
|
66 |
+
diskcache==5.6.3
|
67 |
+
distlib==0.3.8
|
68 |
+
distro==1.9.0
|
69 |
+
dnspython==2.6.1
|
70 |
+
docker-pycreds==0.4.0
|
71 |
+
docstring_parser==0.16
|
72 |
+
dpath==2.2.0
|
73 |
+
dulwich==0.22.1
|
74 |
+
dvc-data==3.16.5
|
75 |
+
dvc-http==2.32.0
|
76 |
+
dvc-objects==5.1.0
|
77 |
+
dvc-render==1.0.2
|
78 |
+
dvc-studio-client==0.21.0
|
79 |
+
dvc-task==0.4.0
|
80 |
+
dvc==3.55.1
|
81 |
+
einops==0.8.0
|
82 |
+
email_validator==2.2.0
|
83 |
+
entrypoints==0.4
|
84 |
+
exceptiongroup==1.2.2
|
85 |
+
executing==2.0.1
|
86 |
+
fastapi-cli==0.0.4
|
87 |
+
fastapi==0.111.1
|
88 |
+
ffmpy==0.3.3
|
89 |
+
filelock==3.15.4
|
90 |
+
fire==0.6.0
|
91 |
+
flatten-dict==0.4.2
|
92 |
+
flufl.lock==8.1.0
|
93 |
+
fonttools==4.53.1
|
94 |
+
frozenlist==1.4.1
|
95 |
+
fsspec==2024.5.0
|
96 |
+
funcy==2.0
|
97 |
+
fusepy==3.0.1
|
98 |
+
gitdb==4.0.11
|
99 |
+
gmpy2==2.1.5
|
100 |
+
gql==3.5.0
|
101 |
+
gradio==4.39.0
|
102 |
+
gradio_client==1.1.1
|
103 |
+
gradio_multimodalchatbot==0.0.1
|
104 |
+
grandalf==0.8
|
105 |
+
grapheme==0.6.0
|
106 |
+
graphql-core==3.2.3
|
107 |
+
grpcio==1.65.1
|
108 |
+
gto==1.7.1
|
109 |
+
h11==0.14.0
|
110 |
+
h2==4.1.0
|
111 |
+
hjson==3.1.0
|
112 |
+
hpack==4.0.0
|
113 |
+
httpcore==1.0.5
|
114 |
+
httptools==0.6.1
|
115 |
+
httpx==0.27.2
|
116 |
+
huggingface-hub==0.24.3
|
117 |
+
hydra-core==1.3.2
|
118 |
+
hyperframe==6.0.1
|
119 |
+
identify==2.6.0
|
120 |
+
idna==3.7
|
121 |
+
imageio-ffmpeg==0.5.1
|
122 |
+
imageio==2.35.1
|
123 |
+
importlib_metadata==8.0.0
|
124 |
+
importlib_metadata==8.2.0
|
125 |
+
importlib_resources==6.4.0
|
126 |
+
importlib_resources==6.4.0
|
127 |
+
inflect==7.3.1
|
128 |
+
iniconfig==2.0.0
|
129 |
+
interegular==0.3.3
|
130 |
+
ipykernel==6.29.5
|
131 |
+
ipython==8.26.0
|
132 |
+
iterative-telemetry==0.0.8
|
133 |
+
jaraco.context==5.3.0
|
134 |
+
jaraco.functools==4.0.1
|
135 |
+
jaraco.text==3.12.1
|
136 |
+
jedi==0.19.1
|
137 |
+
jmespath==1.0.1
|
138 |
+
joblib==1.4.2
|
139 |
+
jsonschema-specifications==2023.12.1
|
140 |
+
jsonschema==4.23.0
|
141 |
+
jupyter_client==8.6.2
|
142 |
+
jupyter_core==5.7.2
|
143 |
+
kiwisolver==1.4.5
|
144 |
+
kombu==5.4.0
|
145 |
+
lark==1.1.9
|
146 |
+
lazy_loader==0.4
|
147 |
+
librosa==0.10.2.post1
|
148 |
+
llamafactory==0.8.4.dev0
|
149 |
+
llamafactory==0.8.4.dev0
|
150 |
+
llvmlite==0.43.0
|
151 |
+
lm-format-enforcer==0.10.3
|
152 |
+
lxml==5.3.0
|
153 |
+
markdown-it-py==3.0.0
|
154 |
+
marshmallow==3.22.0
|
155 |
+
matplotlib-inline==0.1.7
|
156 |
+
matplotlib==3.9.1
|
157 |
+
mdurl==0.1.2
|
158 |
+
mmsg==0.1.dev14+gbd2b056.d20240803
|
159 |
+
more-itertools==10.3.0
|
160 |
+
moviepy==1.0.3
|
161 |
+
mpi4py==4.0.0
|
162 |
+
mpmath==1.3.0
|
163 |
+
msgpack==1.0.8
|
164 |
+
multidict==6.0.5
|
165 |
+
multiprocess==0.70.16
|
166 |
+
mypy-extensions==1.0.0
|
167 |
+
nest_asyncio==1.6.0
|
168 |
+
networkx==3.3
|
169 |
+
ninja==1.11.1.1
|
170 |
+
nodeenv==1.9.1
|
171 |
+
numba==0.60.0
|
172 |
+
numpy==1.26.4
|
173 |
+
nvidia-cublas-cu12==12.1.3.1
|
174 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
175 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
176 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
177 |
+
nvidia-cudnn-cu12==8.9.2.26
|
178 |
+
nvidia-cufft-cu12==11.0.2.54
|
179 |
+
nvidia-curand-cu12==10.3.2.106
|
180 |
+
nvidia-cusolver-cu12==11.4.5.107
|
181 |
+
nvidia-cusparse-cu12==12.1.0.106
|
182 |
+
nvidia-ml-py==12.535.161
|
183 |
+
nvidia-nccl-cu12==2.20.5
|
184 |
+
nvidia-nvjitlink-cu12==12.5.82
|
185 |
+
nvidia-nvtx-cu12==12.1.105
|
186 |
+
nvitop==1.3.2
|
187 |
+
omegaconf==2.3.0
|
188 |
+
openai==1.37.1
|
189 |
+
optree==0.12.1
|
190 |
+
ordered-set==4.1.0
|
191 |
+
orjson==3.10.6
|
192 |
+
outlines==0.0.47.dev37+g26e2934
|
193 |
+
packaging==24.1
|
194 |
+
packaging==24.1
|
195 |
+
pandas==2.2.2
|
196 |
+
parso==0.8.4
|
197 |
+
pathspec==0.12.1
|
198 |
+
pathvalidate==3.0.0
|
199 |
+
peft==0.12.0
|
200 |
+
pexpect==4.9.0
|
201 |
+
pickleshare==0.7.5
|
202 |
+
pillow==10.4.0
|
203 |
+
pip==24.0
|
204 |
+
platformdirs==3.11.0
|
205 |
+
platformdirs==4.2.2
|
206 |
+
pluggy==1.5.0
|
207 |
+
pooch==1.8.2
|
208 |
+
pre-commit==3.8.0
|
209 |
+
proglog==0.1.10
|
210 |
+
prometheus-fastapi-instrumentator==7.0.0
|
211 |
+
prometheus_client==0.20.0
|
212 |
+
prompt_toolkit==3.0.47
|
213 |
+
protobuf==4.25.4
|
214 |
+
psutil==6.0.0
|
215 |
+
ptyprocess==0.7.0
|
216 |
+
pure_eval==0.2.3
|
217 |
+
py-cpuinfo==9.0.0
|
218 |
+
pyairports==2.1.1
|
219 |
+
pyarrow-hotfix==0.6
|
220 |
+
pyarrow==17.0.0
|
221 |
+
pyav==13.0.0
|
222 |
+
pycountry==24.6.1
|
223 |
+
pycparser==2.22
|
224 |
+
pydantic==2.8.2
|
225 |
+
pydantic_core==2.20.1
|
226 |
+
pydot==3.0.1
|
227 |
+
pydub==0.25.1
|
228 |
+
pygit2==1.15.1
|
229 |
+
pygtrie==2.5.0
|
230 |
+
pyparsing==3.1.2
|
231 |
+
pytest==8.3.2
|
232 |
+
python-dateutil==2.9.0
|
233 |
+
python-dateutil==2.9.0.post0
|
234 |
+
python-dotenv==1.0.1
|
235 |
+
python-multipart==0.0.9
|
236 |
+
pytz==2024.1
|
237 |
+
pyzmq==26.0.3
|
238 |
+
ranger-fm==1.9.3
|
239 |
+
ray==2.34.0
|
240 |
+
referencing==0.35.1
|
241 |
+
regex==2024.7.24
|
242 |
+
requests-toolbelt==1.0.0
|
243 |
+
requests==2.32.3
|
244 |
+
rfc3986==1.5.0
|
245 |
+
rich==13.1.0
|
246 |
+
rpds-py==0.19.1
|
247 |
+
ruamel.yaml.clib==0.2.8
|
248 |
+
ruamel.yaml==0.18.6
|
249 |
+
ruff==0.5.5
|
250 |
+
s3transfer==0.10.2
|
251 |
+
safetensors==0.4.3
|
252 |
+
scikit-learn==1.5.1
|
253 |
+
scipy==1.14.0
|
254 |
+
scmrepo==3.3.7
|
255 |
+
semantic-version==2.10.0
|
256 |
+
semver==3.0.2
|
257 |
+
sentencepiece==0.2.0
|
258 |
+
sentry-sdk==2.11.0
|
259 |
+
setproctitle==1.3.3
|
260 |
+
setuptools==71.0.4
|
261 |
+
shellingham==1.5.4
|
262 |
+
shortuuid==1.0.13
|
263 |
+
shtab==1.7.1
|
264 |
+
six==1.16.0
|
265 |
+
smmap==5.0.1
|
266 |
+
sniffio==1.3.1
|
267 |
+
soundfile==0.12.1
|
268 |
+
soxr==0.4.0
|
269 |
+
sqltrie==0.11.1
|
270 |
+
sse-starlette==2.1.3
|
271 |
+
stack-data==0.6.2
|
272 |
+
starlette==0.37.2
|
273 |
+
sympy==1.13.0
|
274 |
+
tabulate==0.9.0
|
275 |
+
tenacity==8.2.3
|
276 |
+
tensorboard-data-server==0.7.2
|
277 |
+
tensorboard==2.17.0
|
278 |
+
term-image==0.7.2
|
279 |
+
termcolor==2.4.0
|
280 |
+
threadpoolctl==3.5.0
|
281 |
+
tiktoken==0.7.0
|
282 |
+
tokenizers==0.19.1
|
283 |
+
tomli==2.0.1
|
284 |
+
tomlkit==0.12.0
|
285 |
+
torch==2.3.1
|
286 |
+
torch==2.4.0
|
287 |
+
torchaudio==2.4.0
|
288 |
+
torchvision==0.18.1
|
289 |
+
torchvision==0.19.0
|
290 |
+
tornado==6.4.1
|
291 |
+
tqdm==4.66.4
|
292 |
+
traitlets==5.14.3
|
293 |
+
transformers==4.45.0.dev0
|
294 |
+
treelib==1.6.4
|
295 |
+
triton==2.3.1
|
296 |
+
triton==3.0.0
|
297 |
+
trl==0.9.6
|
298 |
+
typeguard==4.3.0
|
299 |
+
typer==0.12.3
|
300 |
+
typing-inspect==0.9.0
|
301 |
+
typing_extensions==4.12.2
|
302 |
+
typing_extensions==4.12.2
|
303 |
+
tyro==0.8.10
|
304 |
+
tzdata==2024.1
|
305 |
+
urllib3==2.2.2
|
306 |
+
uvicorn==0.30.3
|
307 |
+
uvloop==0.19.0
|
308 |
+
vine==5.1.0
|
309 |
+
virtualenv==20.26.3
|
310 |
+
vllm-flash-attn==2.5.9.post1
|
311 |
+
vllm==0.5.3.post1
|
312 |
+
voluptuous==0.15.2
|
313 |
+
wandb==0.17.5
|
314 |
+
watchfiles==0.22.0
|
315 |
+
wcwidth==0.2.13
|
316 |
+
websockets==11.0.3
|
317 |
+
wheel==0.43.0
|
318 |
+
wheel==0.43.0
|
319 |
+
xformers==0.0.27
|
320 |
+
xxhash==3.4.1
|
321 |
+
yarl==1.9.4
|
322 |
+
zc.lockfile==3.0.post1
|
323 |
+
zipp==3.19.2
|
324 |
+
zipp==3.19.2
|
325 |
+
zstandard==0.23.0
|
wandb/run-20240921_103042-1p62y7m7/files/wandb-metadata.json
ADDED
@@ -0,0 +1,1215 @@
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|
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|
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|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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1 |
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{
|
2 |
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"os": "Linux-5.15.0-1040-nvidia-x86_64-with-glibc2.35",
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3 |
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|
4 |
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5 |
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6 |
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7 |
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8 |
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"args": [
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9 |
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"--local_rank=0",
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10 |
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11 |
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12 |
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|
13 |
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14 |
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|
15 |
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16 |
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17 |
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18 |
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19 |
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20 |
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21 |
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22 |
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23 |
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24 |
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25 |
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|
26 |
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27 |
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28 |
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29 |
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30 |
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31 |
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32 |
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"git": {
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33 |
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34 |
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35 |
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36 |
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37 |
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|
1 |
+
name: hantao_tiv
|
2 |
+
channels:
|
3 |
+
- nvidia/label/cuda-12.1.0
|
4 |
+
- nvidia
|
5 |
+
- pytorch
|
6 |
+
- huggingface
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aom=3.9.1=hac33072_0
|
13 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
14 |
+
- blas=1.0=mkl
|
15 |
+
- brotli-python=1.1.0=py311hb755f60_1
|
16 |
+
- bzip2=1.0.8=h4bc722e_7
|
17 |
+
- ca-certificates=2024.7.4=hbcca054_0
|
18 |
+
- cairo=1.18.0=hebfffa5_3
|
19 |
+
- certifi=2024.7.4=pyhd8ed1ab_0
|
20 |
+
- cffi=1.16.0=py311hb3a22ac_0
|
21 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
22 |
+
- comm=0.2.2=pyhd8ed1ab_0
|
23 |
+
- cuda=12.1.0=0
|
24 |
+
- cuda-cccl=12.1.55=0
|
25 |
+
- cuda-command-line-tools=12.1.0=0
|
26 |
+
- cuda-compiler=12.1.0=0
|
27 |
+
- cuda-cudart=12.1.55=0
|
28 |
+
- cuda-cudart-dev=12.1.55=0
|
29 |
+
- cuda-cudart-static=12.1.55=0
|
30 |
+
- cuda-cuobjdump=12.1.55=0
|
31 |
+
- cuda-cupti=12.1.62=0
|
32 |
+
- cuda-cupti-static=12.1.62=0
|
33 |
+
- cuda-cuxxfilt=12.1.55=0
|
34 |
+
- cuda-demo-suite=12.1.55=0
|
35 |
+
- cuda-documentation=12.1.55=0
|
36 |
+
- cuda-driver-dev=12.1.55=0
|
37 |
+
- cuda-gdb=12.1.55=0
|
38 |
+
- cuda-libraries=12.1.0=0
|
39 |
+
- cuda-libraries-dev=12.1.0=0
|
40 |
+
- cuda-libraries-static=12.1.0=0
|
41 |
+
- cuda-nsight=12.1.55=0
|
42 |
+
- cuda-nsight-compute=12.1.0=0
|
43 |
+
- cuda-nvcc=12.1.66=0
|
44 |
+
- cuda-nvdisasm=12.1.55=0
|
45 |
+
- cuda-nvml-dev=12.1.55=0
|
46 |
+
- cuda-nvprof=12.1.55=0
|
47 |
+
- cuda-nvprune=12.1.55=0
|
48 |
+
- cuda-nvrtc=12.1.55=0
|
49 |
+
- cuda-nvrtc-dev=12.1.55=0
|
50 |
+
- cuda-nvrtc-static=12.1.55=0
|
51 |
+
- cuda-nvtx=12.1.66=0
|
52 |
+
- cuda-nvvp=12.1.55=0
|
53 |
+
- cuda-opencl=12.1.56=0
|
54 |
+
- cuda-opencl-dev=12.1.56=0
|
55 |
+
- cuda-profiler-api=12.1.55=0
|
56 |
+
- cuda-runtime=12.1.0=0
|
57 |
+
- cuda-sanitizer-api=12.1.55=0
|
58 |
+
- cuda-toolkit=12.1.0=0
|
59 |
+
- cuda-tools=12.1.0=0
|
60 |
+
- cuda-visual-tools=12.1.0=0
|
61 |
+
- dav1d=1.2.1=hd590300_0
|
62 |
+
- debugpy=1.8.2=py311h4332511_0
|
63 |
+
- exceptiongroup=1.2.2=pyhd8ed1ab_0
|
64 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
65 |
+
- expat=2.6.2=h59595ed_0
|
66 |
+
- ffmpeg=7.0.1=gpl_h9be9148_104
|
67 |
+
- filelock=3.15.4=pyhd8ed1ab_0
|
68 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
69 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
70 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
71 |
+
- font-ttf-ubuntu=0.83=h77eed37_2
|
72 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
73 |
+
- fonts-conda-ecosystem=1=0
|
74 |
+
- fonts-conda-forge=1=0
|
75 |
+
- freetype=2.12.1=h267a509_2
|
76 |
+
- fribidi=1.0.10=h36c2ea0_0
|
77 |
+
- gds-tools=1.6.0.25=0
|
78 |
+
- gettext=0.22.5=h59595ed_2
|
79 |
+
- gettext-tools=0.22.5=h59595ed_2
|
80 |
+
- git-lfs=3.5.1=ha770c72_0
|
81 |
+
- gmp=6.3.0=hac33072_2
|
82 |
+
- gmpy2=2.1.5=py311hc4f1f91_1
|
83 |
+
- gnutls=3.7.9=hb077bed_0
|
84 |
+
- graphite2=1.3.13=h59595ed_1003
|
85 |
+
- h2=4.1.0=pyhd8ed1ab_0
|
86 |
+
- harfbuzz=9.0.0=hda332d3_1
|
87 |
+
- hpack=4.0.0=pyh9f0ad1d_0
|
88 |
+
- hyperframe=6.0.1=pyhd8ed1ab_0
|
89 |
+
- icu=75.1=he02047a_0
|
90 |
+
- idna=3.7=pyhd8ed1ab_0
|
91 |
+
- importlib-metadata=8.2.0=pyha770c72_0
|
92 |
+
- importlib_metadata=8.2.0=hd8ed1ab_0
|
93 |
+
- intel-openmp=2022.0.1=h06a4308_3633
|
94 |
+
- ipykernel=6.29.5=pyh3099207_0
|
95 |
+
- ipython=8.26.0=pyh707e725_0
|
96 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
97 |
+
- jinja2=3.1.4=pyhd8ed1ab_0
|
98 |
+
- jupyter_client=8.6.2=pyhd8ed1ab_0
|
99 |
+
- jupyter_core=5.7.2=py311h38be061_0
|
100 |
+
- keyutils=1.6.1=h166bdaf_0
|
101 |
+
- krb5=1.21.3=h659f571_0
|
102 |
+
- lame=3.100=h166bdaf_1003
|
103 |
+
- lcms2=2.16=hb7c19ff_0
|
104 |
+
- ld_impl_linux-64=2.40=hf3520f5_7
|
105 |
+
- lerc=4.0.0=h27087fc_0
|
106 |
+
- libabseil=20240116.2=cxx17_he02047a_1
|
107 |
+
- libasprintf=0.22.5=h661eb56_2
|
108 |
+
- libasprintf-devel=0.22.5=h661eb56_2
|
109 |
+
- libass=0.17.1=h39113c1_2
|
110 |
+
- libblas=3.9.0=16_linux64_mkl
|
111 |
+
- libcblas=3.9.0=16_linux64_mkl
|
112 |
+
- libcublas=12.1.0.26=0
|
113 |
+
- libcublas-dev=12.1.0.26=0
|
114 |
+
- libcublas-static=12.1.0.26=0
|
115 |
+
- libcufft=11.0.2.4=0
|
116 |
+
- libcufft-dev=11.0.2.4=0
|
117 |
+
- libcufft-static=11.0.2.4=0
|
118 |
+
- libcufile=1.6.0.25=0
|
119 |
+
- libcufile-dev=1.6.0.25=0
|
120 |
+
- libcufile-static=1.6.0.25=0
|
121 |
+
- libcurand=10.3.2.56=0
|
122 |
+
- libcurand-dev=10.3.2.56=0
|
123 |
+
- libcurand-static=10.3.2.56=0
|
124 |
+
- libcusolver=11.4.4.55=0
|
125 |
+
- libcusolver-dev=11.4.4.55=0
|
126 |
+
- libcusolver-static=11.4.4.55=0
|
127 |
+
- libcusparse=12.0.2.55=0
|
128 |
+
- libcusparse-dev=12.0.2.55=0
|
129 |
+
- libcusparse-static=12.0.2.55=0
|
130 |
+
- libdeflate=1.20=hd590300_0
|
131 |
+
- libdrm=2.4.122=h4ab18f5_0
|
132 |
+
- libedit=3.1.20191231=he28a2e2_2
|
133 |
+
- libexpat=2.6.2=h59595ed_0
|
134 |
+
- libffi=3.4.2=h7f98852_5
|
135 |
+
- libgcc-ng=14.1.0=h77fa898_0
|
136 |
+
- libgettextpo=0.22.5=h59595ed_2
|
137 |
+
- libgettextpo-devel=0.22.5=h59595ed_2
|
138 |
+
- libglib=2.80.3=h8a4344b_1
|
139 |
+
- libgomp=14.1.0=h77fa898_0
|
140 |
+
- libhwloc=2.11.1=default_hecaa2ac_1000
|
141 |
+
- libiconv=1.17=hd590300_2
|
142 |
+
- libidn2=2.3.7=hd590300_0
|
143 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
144 |
+
- liblapack=3.9.0=16_linux64_mkl
|
145 |
+
- libnpp=12.0.2.50=0
|
146 |
+
- libnpp-dev=12.0.2.50=0
|
147 |
+
- libnpp-static=12.0.2.50=0
|
148 |
+
- libnsl=2.0.1=hd590300_0
|
149 |
+
- libnvjitlink=12.1.105=0
|
150 |
+
- libnvjitlink-dev=12.1.55=0
|
151 |
+
- libnvjpeg=12.1.0.39=0
|
152 |
+
- libnvjpeg-dev=12.1.0.39=0
|
153 |
+
- libnvjpeg-static=12.1.0.39=0
|
154 |
+
- libnvvm-samples=12.1.55=0
|
155 |
+
- libopenvino=2024.2.0=h2da1b83_1
|
156 |
+
- libopenvino-auto-batch-plugin=2024.2.0=hb045406_1
|
157 |
+
- libopenvino-auto-plugin=2024.2.0=hb045406_1
|
158 |
+
- libopenvino-hetero-plugin=2024.2.0=h5c03a75_1
|
159 |
+
- libopenvino-intel-cpu-plugin=2024.2.0=h2da1b83_1
|
160 |
+
- libopenvino-intel-gpu-plugin=2024.2.0=h2da1b83_1
|
161 |
+
- libopenvino-intel-npu-plugin=2024.2.0=he02047a_1
|
162 |
+
- libopenvino-ir-frontend=2024.2.0=h5c03a75_1
|
163 |
+
- libopenvino-onnx-frontend=2024.2.0=h07e8aee_1
|
164 |
+
- libopenvino-paddle-frontend=2024.2.0=h07e8aee_1
|
165 |
+
- libopenvino-pytorch-frontend=2024.2.0=he02047a_1
|
166 |
+
- libopenvino-tensorflow-frontend=2024.2.0=h39126c6_1
|
167 |
+
- libopenvino-tensorflow-lite-frontend=2024.2.0=he02047a_1
|
168 |
+
- libopus=1.3.1=h7f98852_1
|
169 |
+
- libpciaccess=0.18=hd590300_0
|
170 |
+
- libpng=1.6.43=h2797004_0
|
171 |
+
- libprotobuf=4.25.3=h08a7969_0
|
172 |
+
- libsodium=1.0.18=h36c2ea0_1
|
173 |
+
- libsqlite=3.46.0=hde9e2c9_0
|
174 |
+
- libstdcxx-ng=14.1.0=hc0a3c3a_0
|
175 |
+
- libtasn1=4.19.0=h166bdaf_0
|
176 |
+
- libtiff=4.6.0=h1dd3fc0_3
|
177 |
+
- libunistring=0.9.10=h7f98852_0
|
178 |
+
- libuuid=2.38.1=h0b41bf4_0
|
179 |
+
- libva=2.22.0=hb711507_0
|
180 |
+
- libvpx=1.14.1=hac33072_0
|
181 |
+
- libwebp-base=1.4.0=hd590300_0
|
182 |
+
- libxcb=1.16=hd590300_0
|
183 |
+
- libxcrypt=4.4.36=hd590300_1
|
184 |
+
- libxml2=2.12.7=he7c6b58_4
|
185 |
+
- libzlib=1.3.1=h4ab18f5_1
|
186 |
+
- llvm-openmp=15.0.7=h0cdce71_0
|
187 |
+
- markupsafe=2.1.5=py311h459d7ec_0
|
188 |
+
- matplotlib-inline=0.1.7=pyhd8ed1ab_0
|
189 |
+
- mkl=2022.1.0=hc2b9512_224
|
190 |
+
- mpc=1.3.1=hfe3b2da_0
|
191 |
+
- mpfr=4.2.1=h38ae2d0_2
|
192 |
+
- mpmath=1.3.0=pyhd8ed1ab_0
|
193 |
+
- ncurses=6.5=h59595ed_0
|
194 |
+
- nest-asyncio=1.6.0=pyhd8ed1ab_0
|
195 |
+
- nettle=3.9.1=h7ab15ed_0
|
196 |
+
- networkx=3.3=pyhd8ed1ab_1
|
197 |
+
- nsight-compute=2023.1.0.15=0
|
198 |
+
- ocl-icd=2.3.2=hd590300_1
|
199 |
+
- openh264=2.4.1=h59595ed_0
|
200 |
+
- openjpeg=2.5.2=h488ebb8_0
|
201 |
+
- openssl=3.3.1=h4bc722e_2
|
202 |
+
- p11-kit=0.24.1=hc5aa10d_0
|
203 |
+
- packaging=24.1=pyhd8ed1ab_0
|
204 |
+
- parso=0.8.4=pyhd8ed1ab_0
|
205 |
+
- pcre2=10.44=h0f59acf_0
|
206 |
+
- pexpect=4.9.0=pyhd8ed1ab_0
|
207 |
+
- pickleshare=0.7.5=py_1003
|
208 |
+
- pillow=10.4.0=py311h82a398c_0
|
209 |
+
- pip=24.0=pyhd8ed1ab_0
|
210 |
+
- pixman=0.43.2=h59595ed_0
|
211 |
+
- prompt-toolkit=3.0.47=pyha770c72_0
|
212 |
+
- psutil=6.0.0=py311h331c9d8_0
|
213 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
214 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
215 |
+
- pugixml=1.14=h59595ed_0
|
216 |
+
- pure_eval=0.2.3=pyhd8ed1ab_0
|
217 |
+
- pycparser=2.22=pyhd8ed1ab_0
|
218 |
+
- pygments=2.18.0=pyhd8ed1ab_0
|
219 |
+
- pysocks=1.7.1=pyha2e5f31_6
|
220 |
+
- python=3.11.9=hb806964_0_cpython
|
221 |
+
- python_abi=3.11=4_cp311
|
222 |
+
- pytorch=2.4.0=py3.11_cuda12.1_cudnn9.1.0_0
|
223 |
+
- pytorch-cuda=12.1=ha16c6d3_5
|
224 |
+
- pytorch-mutex=1.0=cuda
|
225 |
+
- pyyaml=6.0.1=py311h459d7ec_1
|
226 |
+
- pyzmq=26.0.3=py311h08a0b41_0
|
227 |
+
- readline=8.2=h8228510_1
|
228 |
+
- requests=2.32.3=pyhd8ed1ab_0
|
229 |
+
- setuptools=71.0.4=pyhd8ed1ab_0
|
230 |
+
- six=1.16.0=pyh6c4a22f_0
|
231 |
+
- snappy=1.2.1=ha2e4443_0
|
232 |
+
- stack_data=0.6.2=pyhd8ed1ab_0
|
233 |
+
- svt-av1=2.1.2=hac33072_0
|
234 |
+
- sympy=1.13.0=pypyh2585a3b_103
|
235 |
+
- tbb=2021.12.0=h434a139_3
|
236 |
+
- tk=8.6.13=noxft_h4845f30_101
|
237 |
+
- torchaudio=2.4.0=py311_cu121
|
238 |
+
- torchtriton=3.0.0=py311
|
239 |
+
- tornado=6.4.1=py311h331c9d8_0
|
240 |
+
- traitlets=5.14.3=pyhd8ed1ab_0
|
241 |
+
- typing_extensions=4.12.2=pyha770c72_0
|
242 |
+
- urllib3=2.2.2=pyhd8ed1ab_1
|
243 |
+
- wayland=1.23.0=h5291e77_0
|
244 |
+
- wayland-protocols=1.36=hd8ed1ab_0
|
245 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
246 |
+
- wheel=0.43.0=pyhd8ed1ab_1
|
247 |
+
- x264=1!164.3095=h166bdaf_2
|
248 |
+
- x265=3.5=h924138e_3
|
249 |
+
- xorg-fixesproto=5.0=h7f98852_1002
|
250 |
+
- xorg-kbproto=1.0.7=h7f98852_1002
|
251 |
+
- xorg-libice=1.1.1=hd590300_0
|
252 |
+
- xorg-libsm=1.2.4=h7391055_0
|
253 |
+
- xorg-libx11=1.8.9=hb711507_1
|
254 |
+
- xorg-libxau=1.0.11=hd590300_0
|
255 |
+
- xorg-libxdmcp=1.1.3=h7f98852_0
|
256 |
+
- xorg-libxext=1.3.4=h0b41bf4_2
|
257 |
+
- xorg-libxfixes=5.0.3=h7f98852_1004
|
258 |
+
- xorg-libxrender=0.9.11=hd590300_0
|
259 |
+
- xorg-renderproto=0.11.1=h7f98852_1002
|
260 |
+
- xorg-xextproto=7.3.0=h0b41bf4_1003
|
261 |
+
- xorg-xproto=7.0.31=h7f98852_1007
|
262 |
+
- xz=5.2.6=h166bdaf_0
|
263 |
+
- yaml=0.2.5=h7f98852_2
|
264 |
+
- zeromq=4.3.5=h75354e8_4
|
265 |
+
- zipp=3.19.2=pyhd8ed1ab_0
|
266 |
+
- zlib=1.3.1=h4ab18f5_1
|
267 |
+
- zstandard=0.23.0=py311h5cd10c7_0
|
268 |
+
- zstd=1.5.6=ha6fb4c9_0
|
269 |
+
- pip:
|
270 |
+
- about-time==4.2.1
|
271 |
+
- absl-py==2.1.0
|
272 |
+
- accelerate==0.34.0
|
273 |
+
- aiofiles==23.2.1
|
274 |
+
- aiohttp==3.9.5
|
275 |
+
- aiohttp-retry==2.8.3
|
276 |
+
- aiosignal==1.3.1
|
277 |
+
- align-anything==0.0.1.dev0
|
278 |
+
- alive-progress==3.1.5
|
279 |
+
- amqp==5.2.0
|
280 |
+
- annotated-types==0.7.0
|
281 |
+
- antlr4-python3-runtime==4.9.3
|
282 |
+
- anyio==4.4.0
|
283 |
+
- appdirs==1.4.4
|
284 |
+
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286 |
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287 |
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289 |
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381 |
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382 |
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383 |
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386 |
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387 |
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392 |
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396 |
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397 |
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398 |
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399 |
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400 |
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402 |
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|
403 |
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404 |
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406 |
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407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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413 |
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414 |
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415 |
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416 |
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417 |
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418 |
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419 |
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421 |
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422 |
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423 |
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424 |
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425 |
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426 |
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427 |
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428 |
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429 |
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432 |
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433 |
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434 |
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444 |
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445 |
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447 |
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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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489 |
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490 |
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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 |
+
- zc-lockfile==3.0.post1
|
516 |
+
prefix: /aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
wandb/run-20240921_111222-4ony16ec/files/config.yaml
ADDED
@@ -0,0 +1,112 @@
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wandb_version: 1
|
2 |
+
|
3 |
+
train_cfgs:
|
4 |
+
desc: null
|
5 |
+
value:
|
6 |
+
ds_cfgs: ds_z3_config.json
|
7 |
+
epochs: 3
|
8 |
+
seed: 42
|
9 |
+
per_device_train_batch_size: 1.0
|
10 |
+
per_device_eval_batch_size: 1.0
|
11 |
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gradient_accumulation_steps: 1.0
|
12 |
+
gradient_checkpointing: true
|
13 |
+
learning_rate: 1.0e-06
|
14 |
+
lr_scheduler_type: cosine
|
15 |
+
lr_warmup_ratio: 0.01
|
16 |
+
weight_decay: 0.0
|
17 |
+
adam_betas:
|
18 |
+
- 0.9
|
19 |
+
- 0.95
|
20 |
+
bf16: true
|
21 |
+
fp16: false
|
22 |
+
eval_strategy: epoch
|
23 |
+
eval_interval: 10
|
24 |
+
regularization: 0.001
|
25 |
+
scale_coeff: 0.1
|
26 |
+
freeze_mm_proj: false
|
27 |
+
freeze_vision_tower: true
|
28 |
+
freeze_language_model: false
|
29 |
+
data_cfgs:
|
30 |
+
desc: null
|
31 |
+
value:
|
32 |
+
train_datasets: /aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted
|
33 |
+
train_template: NExTQA_preference
|
34 |
+
train_size: null
|
35 |
+
train_split: train
|
36 |
+
train_subset: null
|
37 |
+
train_data_files: 1.5k_clean_duplicate.json
|
38 |
+
train_optional_args: []
|
39 |
+
eval_datasets: null
|
40 |
+
eval_template: null
|
41 |
+
eval_size: null
|
42 |
+
eval_split: null
|
43 |
+
eval_subset: null
|
44 |
+
eval_data_files: null
|
45 |
+
eval_optional_args: []
|
46 |
+
logger_cfgs:
|
47 |
+
desc: null
|
48 |
+
value:
|
49 |
+
log_type: wandb
|
50 |
+
log_project: align-anything
|
51 |
+
log_run_name: dpo
|
52 |
+
output_dir: ../outputs/dpo_tiv2t_1.5k_base
|
53 |
+
cache_dir: null
|
54 |
+
save_interval: 100000
|
55 |
+
model_cfgs:
|
56 |
+
desc: null
|
57 |
+
value:
|
58 |
+
model_name_or_path: /aifs4su/yaodong/models/Qwen2-VL-7B-Instruct
|
59 |
+
trust_remote_code: true
|
60 |
+
model_max_length: 4096
|
61 |
+
special_tokens:
|
62 |
+
desc: null
|
63 |
+
value: null
|
64 |
+
_wandb:
|
65 |
+
desc: null
|
66 |
+
value:
|
67 |
+
python_version: 3.11.9
|
68 |
+
cli_version: 0.17.5
|
69 |
+
framework: huggingface
|
70 |
+
huggingface_version: 4.45.0.dev0
|
71 |
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is_jupyter_run: false
|
72 |
+
is_kaggle_kernel: false
|
73 |
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start_time: 1726888342
|
74 |
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t:
|
75 |
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1:
|
76 |
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- 1
|
77 |
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- 5
|
78 |
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- 11
|
79 |
+
- 41
|
80 |
+
- 49
|
81 |
+
- 51
|
82 |
+
- 53
|
83 |
+
- 55
|
84 |
+
- 71
|
85 |
+
- 83
|
86 |
+
- 98
|
87 |
+
- 105
|
88 |
+
2:
|
89 |
+
- 1
|
90 |
+
- 5
|
91 |
+
- 11
|
92 |
+
- 41
|
93 |
+
- 49
|
94 |
+
- 51
|
95 |
+
- 53
|
96 |
+
- 55
|
97 |
+
- 71
|
98 |
+
- 83
|
99 |
+
- 98
|
100 |
+
- 105
|
101 |
+
3:
|
102 |
+
- 2
|
103 |
+
- 13
|
104 |
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- 16
|
105 |
+
- 23
|
106 |
+
- 61
|
107 |
+
4: 3.11.9
|
108 |
+
5: 0.17.5
|
109 |
+
6: 4.45.0.dev0
|
110 |
+
8:
|
111 |
+
- 5
|
112 |
+
13: linux-x86_64
|
wandb/run-20240921_111222-4ony16ec/files/output.log
ADDED
@@ -0,0 +1,609 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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***** Running training *****
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Training 1/3 epoch: 0%| | 0/531 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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/aifs4su/yaodong/miniconda3/envs/hantao_tiv/lib/python3.11/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
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with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
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Training 1/3 epoch (loss 0.8395): 2%|██▍ | 9/531 [01:14<1:12:50, 8.37s/it]
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Training 1/3 epoch (loss 1.9732): 4%|█████ | 19/531 [02:31<1:13:02, 8.56s/it]
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Training 1/3 epoch (loss 3.0771): 5%|███████▋ | 29/531 [03:48<1:01:33, 7.36s/it]
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Training 1/3 epoch (loss 1.0346): 7%|██████████▎ | 39/531 [05:15<1:07:13, 8.20s/it]
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Training 1/3 epoch (loss 0.4914): 9%|█████████████ | 49/531 [06:41<1:20:46, 10.05s/it]
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Training 1/3 epoch (loss 1.4690): 11%|███████████████▉ | 59/531 [07:59<57:43, 7.34s/it]
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Training 1/3 epoch (loss 0.6775): 13%|██████████████████▌ | 69/531 [09:22<59:22, 7.71s/it]
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Training 1/3 epoch (loss 0.4325): 15%|████████████████████▉ | 79/531 [10:48<1:12:39, 9.65s/it]
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Training 1/3 epoch (loss 1.0096): 17%|███████████████████████▋ | 89/531 [12:20<1:16:49, 10.43s/it]
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Training 1/3 epoch (loss 0.2861): 19%|██████████████████████████▋ | 99/531 [13:40<57:03, 7.93s/it]
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Training 1/3 epoch (loss 1.1329): 21%|█████████████████████████████▏ | 109/531 [14:58<57:58, 8.24s/it]
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Training 1/3 epoch (loss 1.0573): 22%|███████████████████████████████▊ | 119/531 [16:27<56:45, 8.27s/it]
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Training 1/3 epoch (loss 1.2254): 24%|██████████████████████████████████▍ | 129/531 [17:46<56:23, 8.42s/it]
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Training 1/3 epoch (loss 0.2646): 26%|█████████████████████████████████████▏ | 139/531 [19:16<56:30, 8.65s/it]
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Training 1/3 epoch (loss 0.2230): 28%|███████████████████████████████████████▊ | 149/531 [20:38<48:28, 7.61s/it]
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Training 1/3 epoch (loss 1.6615): 30%|██████████████████████████████████████████▌ | 159/531 [21:57<47:14, 7.62s/it]
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Training 1/3 epoch (loss 0.3717): 32%|█████████████████████████████████████████████▏ | 169/531 [23:20<49:05, 8.14s/it]
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Training 2/3 epoch (loss 0.4366): 34%|███████████████████████████████████████████████▊ | 179/531 [24:48<47:02, 8.02s/it]
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Training 2/3 epoch (loss 1.9746): 36%|██████████████████████████████████████████████████▌ | 189/531 [26:05<40:13, 7.06s/it]
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Training 2/3 epoch (loss 0.9471): 37%|█████████████████████████████████████████████████████▏ | 199/531 [27:24<43:32, 7.87s/it]
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Training 2/3 epoch (loss 0.5072): 39%|███████████████████████████████████████████████████████▉ | 209/531 [28:43<43:05, 8.03s/it]
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Training 2/3 epoch (loss 0.2369): 41%|██████████████████████████████████████████████████████████▌ | 219/531 [30:08<39:52, 7.67s/it]
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Training 2/3 epoch (loss 0.9289): 43%|█████████████████████████████████████████████████████████████▏ | 229/531 [31:38<46:09, 9.17s/it]
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Training 2/3 epoch (loss 0.7007): 45%|███████████████████████████████████████████████████████████████▉ | 239/531 [32:51<34:44, 7.14s/it]
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Training 2/3 epoch (loss 0.5656): 47%|██████████████████████████████████████████████████████████████████▌ | 249/531 [34:16<37:29, 7.98s/it]
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Training 2/3 epoch (loss 0.3311): 49%|█████████████████████████████████████████████████████████████████████▎ | 259/531 [35:44<39:41, 8.75s/it]
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Training 2/3 epoch (loss 0.2943): 51%|███████████████████████████████████████████████████████████████████████▉ | 269/531 [37:09<36:41, 8.40s/it]
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Training 2/3 epoch (loss 0.6977): 53%|██████████████████████████████████████████████████████████████████████████▌ | 279/531 [38:28<31:36, 7.52s/it]
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Training 2/3 epoch (loss 1.3606): 54%|█████████████████████████████████████████████████████████████████████████████▎ | 289/531 [39:52<35:27, 8.79s/it]
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Training 2/3 epoch (loss 0.3531): 56%|███████████████████████████████████████████████████████████████████████████████▉ | 299/531 [41:15<28:46, 7.44s/it]
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Training 2/3 epoch (loss 1.3322): 58%|██████████████████████████████████████████████████████████████████████████████████▋ | 309/531 [42:44<34:51, 9.42s/it]
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Training 2/3 epoch (loss 0.3598): 60%|█████████████████████████████████████████████████████████████████████████████████████▎ | 319/531 [44:11<32:19, 9.15s/it]
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Training 2/3 epoch (loss 0.3140): 62%|███████████████████████████████████████████████████████████████████████████████████████▉ | 329/531 [45:28<26:26, 7.85s/it]
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Training 2/3 epoch (loss 0.4596): 64%|██████████████████████████████████████████████████████████████████████████████████████████▋ | 339/531 [46:45<23:37, 7.38s/it]
|
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Training 2/3 epoch (loss 0.1021): 66%|█████████████████████████████████████████████████████████████████████████████████████████████▎ | 349/531 [48:14<26:38, 8.78s/it]
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Training 3/3 epoch (loss 0.2287): 68%|████████████████████████████████████████████████████████████████████████████████████████████████ | 359/531 [49:34<22:19, 7.79s/it]
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Training 3/3 epoch (loss 0.5106): 69%|██████████████████████████████████████████████████████████████████████████████████████████████████▋ | 369/531 [50:50<19:41, 7.29s/it]
|
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Training 3/3 epoch (loss 0.1319): 71%|█████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 379/531 [52:11<21:03, 8.31s/it]
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Training 3/3 epoch (loss 0.1420): 73%|████████████████████████████████████████████████████████████████████████████████████████████████████████ | 389/531 [53:38<22:51, 9.66s/it]
|
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Training 3/3 epoch (loss 0.5357): 75%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 399/531 [54:56<17:25, 7.92s/it]
|
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Training 3/3 epoch (loss 0.1835): 77%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 409/531 [56:25<16:15, 8.00s/it]
|
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|
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Training 3/3 epoch (loss 0.5765): 79%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 419/531 [57:47<19:40, 10.54s/it]
|
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|
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|
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|
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|
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Training 3/3 epoch (loss 1.8443): 81%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 429/531 [59:02<12:57, 7.62s/it]
|
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|
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Training 3/3 epoch (loss 0.2949): 83%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 440/531 [1:00:38<12:14, 8.07s/it]
|
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|
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|
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|
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|
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|
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|
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Training 3/3 epoch (loss 1.1613): 85%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 449/531 [1:01:58<11:28, 8.40s/it]
|
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|
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|
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|
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|
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Training 3/3 epoch (loss 0.2900): 86%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 459/531 [1:03:16<09:07, 7.61s/it]
|
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|
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Training 3/3 epoch (loss 0.2732): 88%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 469/531 [1:04:46<09:23, 9.09s/it]
|
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|
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|
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|
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|
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|
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|
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Training 3/3 epoch (loss 0.9524): 90%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 479/531 [1:06:03<06:42, 7.73s/it]
|
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|
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|
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|
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|
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|
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|
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Training 3/3 epoch (loss 0.5670): 92%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 489/531 [1:07:33<06:22, 9.11s/it]
|
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|
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Training 3/3 epoch (loss 0.3265): 94%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 499/531 [1:08:57<04:22, 8.21s/it]
|
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|
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|
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|
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Training 3/3 epoch (loss 1.3381): 96%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 510/531 [1:10:24<02:47, 7.96s/it]
|
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|
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|
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Training 3/3 epoch (loss 0.2275): 98%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 519/531 [1:11:33<01:35, 7.93s/it]
|
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|
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|
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|
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|
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Training 3/3 epoch (loss 0.7530): 100%|█████████���█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍| 529/531 [1:13:01<00:16, 8.38s/it]
|
592 |
+
|
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+
Training 3/3 epoch (loss 0.1529): 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋| 530/531 [1:13:11<00:08, 8.81s/it]
|
594 |
+
Saving model to "../outputs/dpo_tiv2t_1.5k_base" ...
|
595 |
+
|
596 |
+
Training 3/3 epoch (loss 0.4428): 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 531/531 [1:13:19<00:00, 8.28s/it]
|
597 |
+
[2024-09-21 12:25:55,184] [INFO] [logging.py:96:log_dist] [Rank 0] [Torch] Checkpoint global_step531 is about to be saved!
|
598 |
+
[2024-09-21 12:25:55,184] [INFO] [engine.py:3591:save_16bit_model] Saving model weights to ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin, tag: global_step531
|
599 |
+
[2024-09-21 12:25:55,184] [INFO] [torch_checkpoint_engine.py:21:save] [Torch] Saving ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin...
|
600 |
+
[2024-09-21 12:26:08,310] [INFO] [torch_checkpoint_engine.py:23:save] [Torch] Saved ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin.
|
601 |
+
[2024-09-21 12:26:08,311] [INFO] [torch_checkpoint_engine.py:33:commit] [Torch] Checkpoint global_step531 is ready now!
|
602 |
+
Model saved!
|
603 |
+
Saving 16-bit model...
|
604 |
+
[2024-09-21 12:26:15,942] [INFO] [logging.py:96:log_dist] [Rank 0] [Torch] Checkpoint global_step531 is about to be saved!
|
605 |
+
[2024-09-21 12:26:15,943] [INFO] [engine.py:3591:save_16bit_model] Saving model weights to ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin, tag: global_step531
|
606 |
+
[2024-09-21 12:26:15,943] [INFO] [torch_checkpoint_engine.py:21:save] [Torch] Saving ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin...
|
607 |
+
[2024-09-21 12:26:31,191] [INFO] [torch_checkpoint_engine.py:23:save] [Torch] Saved ../outputs/dpo_tiv2t_1.5k_base/pytorch_model.bin.
|
608 |
+
[2024-09-21 12:26:31,192] [INFO] [torch_checkpoint_engine.py:33:commit] [Torch] Checkpoint global_step531 is ready now!
|
609 |
+
Model saved!
|
wandb/run-20240921_111222-4ony16ec/files/requirements.txt
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Brotli==1.1.0
|
2 |
+
GitPython==3.1.43
|
3 |
+
Jinja2==3.1.4
|
4 |
+
Markdown==3.6
|
5 |
+
MarkupSafe==2.1.5
|
6 |
+
PySocks==1.7.1
|
7 |
+
PyYAML==6.0.1
|
8 |
+
Pygments==2.18.0
|
9 |
+
Werkzeug==3.0.3
|
10 |
+
about-time==4.2.1
|
11 |
+
absl-py==2.1.0
|
12 |
+
accelerate==0.34.0
|
13 |
+
aiofiles==23.2.1
|
14 |
+
aiohttp-retry==2.8.3
|
15 |
+
aiohttp==3.9.5
|
16 |
+
aiosignal==1.3.1
|
17 |
+
align-anything==0.0.1.dev0
|
18 |
+
align-anything==0.0.1.dev0
|
19 |
+
alive-progress==3.1.5
|
20 |
+
amqp==5.2.0
|
21 |
+
annotated-types==0.7.0
|
22 |
+
antlr4-python3-runtime==4.9.3
|
23 |
+
anyio==4.4.0
|
24 |
+
appdirs==1.4.4
|
25 |
+
asttokens==2.4.1
|
26 |
+
asyncssh==2.16.0
|
27 |
+
atpublic==5.0
|
28 |
+
attrs==23.2.0
|
29 |
+
audioread==3.0.1
|
30 |
+
autocommand==2.2.2
|
31 |
+
backoff==2.2.1
|
32 |
+
backports.tarfile==1.2.0
|
33 |
+
billiard==4.2.0
|
34 |
+
boto3==1.35.9
|
35 |
+
botocore==1.35.9
|
36 |
+
cachetools==5.4.0
|
37 |
+
celery==5.4.0
|
38 |
+
certifi==2024.7.4
|
39 |
+
cffi==1.16.0
|
40 |
+
cfgv==3.4.0
|
41 |
+
charset-normalizer==3.3.2
|
42 |
+
click-didyoumean==0.3.1
|
43 |
+
click-plugins==1.1.1
|
44 |
+
click-repl==0.3.0
|
45 |
+
click==8.1.7
|
46 |
+
cloudpickle==3.0.0
|
47 |
+
cmake==3.30.1
|
48 |
+
colorama==0.4.6
|
49 |
+
comm==0.2.2
|
50 |
+
commonmark==0.9.1
|
51 |
+
configobj==5.0.8
|
52 |
+
contourpy==1.2.1
|
53 |
+
cryptography==43.0.0
|
54 |
+
cycler==0.12.1
|
55 |
+
dacite==1.6.0
|
56 |
+
dagshub-annotation-converter==0.1.0
|
57 |
+
dagshub==0.3.35
|
58 |
+
dataclasses-json==0.6.7
|
59 |
+
datasets==2.20.0
|
60 |
+
debugpy==1.8.2
|
61 |
+
decorator==4.4.2
|
62 |
+
deepspeed==0.14.4
|
63 |
+
dictdiffer==0.9.0
|
64 |
+
diffusers==0.29.2
|
65 |
+
dill==0.3.8
|
66 |
+
diskcache==5.6.3
|
67 |
+
distlib==0.3.8
|
68 |
+
distro==1.9.0
|
69 |
+
dnspython==2.6.1
|
70 |
+
docker-pycreds==0.4.0
|
71 |
+
docstring_parser==0.16
|
72 |
+
dpath==2.2.0
|
73 |
+
dulwich==0.22.1
|
74 |
+
dvc-data==3.16.5
|
75 |
+
dvc-http==2.32.0
|
76 |
+
dvc-objects==5.1.0
|
77 |
+
dvc-render==1.0.2
|
78 |
+
dvc-studio-client==0.21.0
|
79 |
+
dvc-task==0.4.0
|
80 |
+
dvc==3.55.1
|
81 |
+
einops==0.8.0
|
82 |
+
email_validator==2.2.0
|
83 |
+
entrypoints==0.4
|
84 |
+
exceptiongroup==1.2.2
|
85 |
+
executing==2.0.1
|
86 |
+
fastapi-cli==0.0.4
|
87 |
+
fastapi==0.111.1
|
88 |
+
ffmpy==0.3.3
|
89 |
+
filelock==3.15.4
|
90 |
+
fire==0.6.0
|
91 |
+
flatten-dict==0.4.2
|
92 |
+
flufl.lock==8.1.0
|
93 |
+
fonttools==4.53.1
|
94 |
+
frozenlist==1.4.1
|
95 |
+
fsspec==2024.5.0
|
96 |
+
funcy==2.0
|
97 |
+
fusepy==3.0.1
|
98 |
+
gitdb==4.0.11
|
99 |
+
gmpy2==2.1.5
|
100 |
+
gql==3.5.0
|
101 |
+
gradio==4.39.0
|
102 |
+
gradio_client==1.1.1
|
103 |
+
gradio_multimodalchatbot==0.0.1
|
104 |
+
grandalf==0.8
|
105 |
+
grapheme==0.6.0
|
106 |
+
graphql-core==3.2.3
|
107 |
+
grpcio==1.65.1
|
108 |
+
gto==1.7.1
|
109 |
+
h11==0.14.0
|
110 |
+
h2==4.1.0
|
111 |
+
hjson==3.1.0
|
112 |
+
hpack==4.0.0
|
113 |
+
httpcore==1.0.5
|
114 |
+
httptools==0.6.1
|
115 |
+
httpx==0.27.2
|
116 |
+
huggingface-hub==0.24.3
|
117 |
+
hydra-core==1.3.2
|
118 |
+
hyperframe==6.0.1
|
119 |
+
identify==2.6.0
|
120 |
+
idna==3.7
|
121 |
+
imageio-ffmpeg==0.5.1
|
122 |
+
imageio==2.35.1
|
123 |
+
importlib_metadata==8.0.0
|
124 |
+
importlib_metadata==8.2.0
|
125 |
+
importlib_resources==6.4.0
|
126 |
+
importlib_resources==6.4.0
|
127 |
+
inflect==7.3.1
|
128 |
+
iniconfig==2.0.0
|
129 |
+
interegular==0.3.3
|
130 |
+
ipykernel==6.29.5
|
131 |
+
ipython==8.26.0
|
132 |
+
iterative-telemetry==0.0.8
|
133 |
+
jaraco.context==5.3.0
|
134 |
+
jaraco.functools==4.0.1
|
135 |
+
jaraco.text==3.12.1
|
136 |
+
jedi==0.19.1
|
137 |
+
jmespath==1.0.1
|
138 |
+
joblib==1.4.2
|
139 |
+
jsonschema-specifications==2023.12.1
|
140 |
+
jsonschema==4.23.0
|
141 |
+
jupyter_client==8.6.2
|
142 |
+
jupyter_core==5.7.2
|
143 |
+
kiwisolver==1.4.5
|
144 |
+
kombu==5.4.0
|
145 |
+
lark==1.1.9
|
146 |
+
lazy_loader==0.4
|
147 |
+
librosa==0.10.2.post1
|
148 |
+
llamafactory==0.8.4.dev0
|
149 |
+
llamafactory==0.8.4.dev0
|
150 |
+
llvmlite==0.43.0
|
151 |
+
lm-format-enforcer==0.10.3
|
152 |
+
lxml==5.3.0
|
153 |
+
markdown-it-py==3.0.0
|
154 |
+
marshmallow==3.22.0
|
155 |
+
matplotlib-inline==0.1.7
|
156 |
+
matplotlib==3.9.1
|
157 |
+
mdurl==0.1.2
|
158 |
+
mmsg==0.1.dev14+gbd2b056.d20240803
|
159 |
+
more-itertools==10.3.0
|
160 |
+
moviepy==1.0.3
|
161 |
+
mpi4py==4.0.0
|
162 |
+
mpmath==1.3.0
|
163 |
+
msgpack==1.0.8
|
164 |
+
multidict==6.0.5
|
165 |
+
multiprocess==0.70.16
|
166 |
+
mypy-extensions==1.0.0
|
167 |
+
nest_asyncio==1.6.0
|
168 |
+
networkx==3.3
|
169 |
+
ninja==1.11.1.1
|
170 |
+
nodeenv==1.9.1
|
171 |
+
numba==0.60.0
|
172 |
+
numpy==1.26.4
|
173 |
+
nvidia-cublas-cu12==12.1.3.1
|
174 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
175 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
176 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
177 |
+
nvidia-cudnn-cu12==8.9.2.26
|
178 |
+
nvidia-cufft-cu12==11.0.2.54
|
179 |
+
nvidia-curand-cu12==10.3.2.106
|
180 |
+
nvidia-cusolver-cu12==11.4.5.107
|
181 |
+
nvidia-cusparse-cu12==12.1.0.106
|
182 |
+
nvidia-ml-py==12.535.161
|
183 |
+
nvidia-nccl-cu12==2.20.5
|
184 |
+
nvidia-nvjitlink-cu12==12.5.82
|
185 |
+
nvidia-nvtx-cu12==12.1.105
|
186 |
+
nvitop==1.3.2
|
187 |
+
omegaconf==2.3.0
|
188 |
+
openai==1.37.1
|
189 |
+
optree==0.12.1
|
190 |
+
ordered-set==4.1.0
|
191 |
+
orjson==3.10.6
|
192 |
+
outlines==0.0.47.dev37+g26e2934
|
193 |
+
packaging==24.1
|
194 |
+
packaging==24.1
|
195 |
+
pandas==2.2.2
|
196 |
+
parso==0.8.4
|
197 |
+
pathspec==0.12.1
|
198 |
+
pathvalidate==3.0.0
|
199 |
+
peft==0.12.0
|
200 |
+
pexpect==4.9.0
|
201 |
+
pickleshare==0.7.5
|
202 |
+
pillow==10.4.0
|
203 |
+
pip==24.0
|
204 |
+
platformdirs==3.11.0
|
205 |
+
platformdirs==4.2.2
|
206 |
+
pluggy==1.5.0
|
207 |
+
pooch==1.8.2
|
208 |
+
pre-commit==3.8.0
|
209 |
+
proglog==0.1.10
|
210 |
+
prometheus-fastapi-instrumentator==7.0.0
|
211 |
+
prometheus_client==0.20.0
|
212 |
+
prompt_toolkit==3.0.47
|
213 |
+
protobuf==4.25.4
|
214 |
+
psutil==6.0.0
|
215 |
+
ptyprocess==0.7.0
|
216 |
+
pure_eval==0.2.3
|
217 |
+
py-cpuinfo==9.0.0
|
218 |
+
pyairports==2.1.1
|
219 |
+
pyarrow-hotfix==0.6
|
220 |
+
pyarrow==17.0.0
|
221 |
+
pyav==13.0.0
|
222 |
+
pycountry==24.6.1
|
223 |
+
pycparser==2.22
|
224 |
+
pydantic==2.8.2
|
225 |
+
pydantic_core==2.20.1
|
226 |
+
pydot==3.0.1
|
227 |
+
pydub==0.25.1
|
228 |
+
pygit2==1.15.1
|
229 |
+
pygtrie==2.5.0
|
230 |
+
pyparsing==3.1.2
|
231 |
+
pytest==8.3.2
|
232 |
+
python-dateutil==2.9.0
|
233 |
+
python-dateutil==2.9.0.post0
|
234 |
+
python-dotenv==1.0.1
|
235 |
+
python-multipart==0.0.9
|
236 |
+
pytz==2024.1
|
237 |
+
pyzmq==26.0.3
|
238 |
+
ranger-fm==1.9.3
|
239 |
+
ray==2.34.0
|
240 |
+
referencing==0.35.1
|
241 |
+
regex==2024.7.24
|
242 |
+
requests-toolbelt==1.0.0
|
243 |
+
requests==2.32.3
|
244 |
+
rfc3986==1.5.0
|
245 |
+
rich==13.1.0
|
246 |
+
rpds-py==0.19.1
|
247 |
+
ruamel.yaml.clib==0.2.8
|
248 |
+
ruamel.yaml==0.18.6
|
249 |
+
ruff==0.5.5
|
250 |
+
s3transfer==0.10.2
|
251 |
+
safetensors==0.4.3
|
252 |
+
scikit-learn==1.5.1
|
253 |
+
scipy==1.14.0
|
254 |
+
scmrepo==3.3.7
|
255 |
+
semantic-version==2.10.0
|
256 |
+
semver==3.0.2
|
257 |
+
sentencepiece==0.2.0
|
258 |
+
sentry-sdk==2.11.0
|
259 |
+
setproctitle==1.3.3
|
260 |
+
setuptools==71.0.4
|
261 |
+
shellingham==1.5.4
|
262 |
+
shortuuid==1.0.13
|
263 |
+
shtab==1.7.1
|
264 |
+
six==1.16.0
|
265 |
+
smmap==5.0.1
|
266 |
+
sniffio==1.3.1
|
267 |
+
soundfile==0.12.1
|
268 |
+
soxr==0.4.0
|
269 |
+
sqltrie==0.11.1
|
270 |
+
sse-starlette==2.1.3
|
271 |
+
stack-data==0.6.2
|
272 |
+
starlette==0.37.2
|
273 |
+
sympy==1.13.0
|
274 |
+
tabulate==0.9.0
|
275 |
+
tenacity==8.2.3
|
276 |
+
tensorboard-data-server==0.7.2
|
277 |
+
tensorboard==2.17.0
|
278 |
+
term-image==0.7.2
|
279 |
+
termcolor==2.4.0
|
280 |
+
threadpoolctl==3.5.0
|
281 |
+
tiktoken==0.7.0
|
282 |
+
tokenizers==0.19.1
|
283 |
+
tomli==2.0.1
|
284 |
+
tomlkit==0.12.0
|
285 |
+
torch==2.3.1
|
286 |
+
torch==2.4.0
|
287 |
+
torchaudio==2.4.0
|
288 |
+
torchvision==0.18.1
|
289 |
+
torchvision==0.19.0
|
290 |
+
tornado==6.4.1
|
291 |
+
tqdm==4.66.4
|
292 |
+
traitlets==5.14.3
|
293 |
+
transformers==4.45.0.dev0
|
294 |
+
treelib==1.6.4
|
295 |
+
triton==2.3.1
|
296 |
+
triton==3.0.0
|
297 |
+
trl==0.9.6
|
298 |
+
typeguard==4.3.0
|
299 |
+
typer==0.12.3
|
300 |
+
typing-inspect==0.9.0
|
301 |
+
typing_extensions==4.12.2
|
302 |
+
typing_extensions==4.12.2
|
303 |
+
tyro==0.8.10
|
304 |
+
tzdata==2024.1
|
305 |
+
urllib3==2.2.2
|
306 |
+
uvicorn==0.30.3
|
307 |
+
uvloop==0.19.0
|
308 |
+
vine==5.1.0
|
309 |
+
virtualenv==20.26.3
|
310 |
+
vllm-flash-attn==2.5.9.post1
|
311 |
+
vllm==0.5.3.post1
|
312 |
+
voluptuous==0.15.2
|
313 |
+
wandb==0.17.5
|
314 |
+
watchfiles==0.22.0
|
315 |
+
wcwidth==0.2.13
|
316 |
+
websockets==11.0.3
|
317 |
+
wheel==0.43.0
|
318 |
+
wheel==0.43.0
|
319 |
+
xformers==0.0.27
|
320 |
+
xxhash==3.4.1
|
321 |
+
yarl==1.9.4
|
322 |
+
zc.lockfile==3.0.post1
|
323 |
+
zipp==3.19.2
|
324 |
+
zipp==3.19.2
|
325 |
+
zstandard==0.23.0
|
wandb/run-20240921_111222-4ony16ec/files/wandb-metadata.json
ADDED
@@ -0,0 +1,1215 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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1 |
+
{
|
2 |
+
"os": "Linux-5.15.0-1040-nvidia-x86_64-with-glibc2.35",
|
3 |
+
"python": "3.11.9",
|
4 |
+
"heartbeatAt": "2024-09-21T03:12:23.935425",
|
5 |
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"startedAt": "2024-09-21T03:12:22.874534",
|
6 |
+
"docker": null,
|
7 |
+
"cuda": null,
|
8 |
+
"args": [
|
9 |
+
"--local_rank=0",
|
10 |
+
"--model_name_or_path",
|
11 |
+
"/aifs4su/yaodong/models/Qwen2-VL-7B-Instruct",
|
12 |
+
"--train_datasets",
|
13 |
+
"/aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted",
|
14 |
+
"--output_dir",
|
15 |
+
"../outputs/dpo_tiv2t_1.5k_base",
|
16 |
+
"--train_data_files",
|
17 |
+
"1.5k_clean_duplicate.json",
|
18 |
+
"--train_template",
|
19 |
+
"NExTQA_preference",
|
20 |
+
"--train_split",
|
21 |
+
"train",
|
22 |
+
"--per_device_train_batch_size",
|
23 |
+
"1",
|
24 |
+
"--per_device_eval_batch_size",
|
25 |
+
"1",
|
26 |
+
"--gradient_accumulation_steps",
|
27 |
+
"1"
|
28 |
+
],
|
29 |
+
"state": "running",
|
30 |
+
"program": "-m align_anything.trainers.tiv_to_t.dpo",
|
31 |
+
"codePathLocal": null,
|
32 |
+
"git": {
|
33 |
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"remote": "git@github.com-hantao:htlou/align-anything.git",
|
34 |
+
"commit": "9eff99b0ee34f7265b8a2e1824650634c898f654"
|
35 |
+
},
|
36 |
+
"email": "2200017789@stu.pku.edu.cn",
|
37 |
+
"root": "/aifs4su/yaodong/projects/hantao/dev_cham/align-anything",
|
38 |
+
"host": "dgx-119",
|
39 |
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"username": "yangyaodong",
|
40 |
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"executable": "/aifs4su/yaodong/miniconda3/envs/hantao_tiv/bin/python3.11",
|
41 |
+
"cpu_count": 112,
|
42 |
+
"cpu_count_logical": 224,
|
43 |
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"cpu_freq": {
|
44 |
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"current": 2064.1573660714284,
|
45 |
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"min": 800.0,
|
46 |
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"max": 3800.0
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47 |
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},
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48 |
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"cpu_freq_per_core": [
|
49 |
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{
|
50 |
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"current": 2000.0,
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51 |
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52 |
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53 |
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},
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54 |
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{
|
55 |
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|
56 |
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|
57 |
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|
58 |
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},
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59 |
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{
|
60 |
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|
61 |
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|
62 |
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|
63 |
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},
|
64 |
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{
|
65 |
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|
66 |
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67 |
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|
68 |
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|
69 |
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{
|
70 |
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|
71 |
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|
72 |
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|
73 |
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74 |
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{
|
75 |
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|
76 |
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|
77 |
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|
78 |
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79 |
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{
|
80 |
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|
81 |
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|
82 |
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|
83 |
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|
84 |
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{
|
85 |
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|
86 |
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"min": 800.0,
|
87 |
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|
1 |
+
name: hantao_tiv
|
2 |
+
channels:
|
3 |
+
- nvidia/label/cuda-12.1.0
|
4 |
+
- nvidia
|
5 |
+
- pytorch
|
6 |
+
- huggingface
|
7 |
+
- conda-forge
|
8 |
+
- defaults
|
9 |
+
dependencies:
|
10 |
+
- _libgcc_mutex=0.1=conda_forge
|
11 |
+
- _openmp_mutex=4.5=2_gnu
|
12 |
+
- aom=3.9.1=hac33072_0
|
13 |
+
- asttokens=2.4.1=pyhd8ed1ab_0
|
14 |
+
- blas=1.0=mkl
|
15 |
+
- brotli-python=1.1.0=py311hb755f60_1
|
16 |
+
- bzip2=1.0.8=h4bc722e_7
|
17 |
+
- ca-certificates=2024.7.4=hbcca054_0
|
18 |
+
- cairo=1.18.0=hebfffa5_3
|
19 |
+
- certifi=2024.7.4=pyhd8ed1ab_0
|
20 |
+
- cffi=1.16.0=py311hb3a22ac_0
|
21 |
+
- charset-normalizer=3.3.2=pyhd8ed1ab_0
|
22 |
+
- comm=0.2.2=pyhd8ed1ab_0
|
23 |
+
- cuda=12.1.0=0
|
24 |
+
- cuda-cccl=12.1.55=0
|
25 |
+
- cuda-command-line-tools=12.1.0=0
|
26 |
+
- cuda-compiler=12.1.0=0
|
27 |
+
- cuda-cudart=12.1.55=0
|
28 |
+
- cuda-cudart-dev=12.1.55=0
|
29 |
+
- cuda-cudart-static=12.1.55=0
|
30 |
+
- cuda-cuobjdump=12.1.55=0
|
31 |
+
- cuda-cupti=12.1.62=0
|
32 |
+
- cuda-cupti-static=12.1.62=0
|
33 |
+
- cuda-cuxxfilt=12.1.55=0
|
34 |
+
- cuda-demo-suite=12.1.55=0
|
35 |
+
- cuda-documentation=12.1.55=0
|
36 |
+
- cuda-driver-dev=12.1.55=0
|
37 |
+
- cuda-gdb=12.1.55=0
|
38 |
+
- cuda-libraries=12.1.0=0
|
39 |
+
- cuda-libraries-dev=12.1.0=0
|
40 |
+
- cuda-libraries-static=12.1.0=0
|
41 |
+
- cuda-nsight=12.1.55=0
|
42 |
+
- cuda-nsight-compute=12.1.0=0
|
43 |
+
- cuda-nvcc=12.1.66=0
|
44 |
+
- cuda-nvdisasm=12.1.55=0
|
45 |
+
- cuda-nvml-dev=12.1.55=0
|
46 |
+
- cuda-nvprof=12.1.55=0
|
47 |
+
- cuda-nvprune=12.1.55=0
|
48 |
+
- cuda-nvrtc=12.1.55=0
|
49 |
+
- cuda-nvrtc-dev=12.1.55=0
|
50 |
+
- cuda-nvrtc-static=12.1.55=0
|
51 |
+
- cuda-nvtx=12.1.66=0
|
52 |
+
- cuda-nvvp=12.1.55=0
|
53 |
+
- cuda-opencl=12.1.56=0
|
54 |
+
- cuda-opencl-dev=12.1.56=0
|
55 |
+
- cuda-profiler-api=12.1.55=0
|
56 |
+
- cuda-runtime=12.1.0=0
|
57 |
+
- cuda-sanitizer-api=12.1.55=0
|
58 |
+
- cuda-toolkit=12.1.0=0
|
59 |
+
- cuda-tools=12.1.0=0
|
60 |
+
- cuda-visual-tools=12.1.0=0
|
61 |
+
- dav1d=1.2.1=hd590300_0
|
62 |
+
- debugpy=1.8.2=py311h4332511_0
|
63 |
+
- exceptiongroup=1.2.2=pyhd8ed1ab_0
|
64 |
+
- executing=2.0.1=pyhd8ed1ab_0
|
65 |
+
- expat=2.6.2=h59595ed_0
|
66 |
+
- ffmpeg=7.0.1=gpl_h9be9148_104
|
67 |
+
- filelock=3.15.4=pyhd8ed1ab_0
|
68 |
+
- font-ttf-dejavu-sans-mono=2.37=hab24e00_0
|
69 |
+
- font-ttf-inconsolata=3.000=h77eed37_0
|
70 |
+
- font-ttf-source-code-pro=2.038=h77eed37_0
|
71 |
+
- font-ttf-ubuntu=0.83=h77eed37_2
|
72 |
+
- fontconfig=2.14.2=h14ed4e7_0
|
73 |
+
- fonts-conda-ecosystem=1=0
|
74 |
+
- fonts-conda-forge=1=0
|
75 |
+
- freetype=2.12.1=h267a509_2
|
76 |
+
- fribidi=1.0.10=h36c2ea0_0
|
77 |
+
- gds-tools=1.6.0.25=0
|
78 |
+
- gettext=0.22.5=h59595ed_2
|
79 |
+
- gettext-tools=0.22.5=h59595ed_2
|
80 |
+
- git-lfs=3.5.1=ha770c72_0
|
81 |
+
- gmp=6.3.0=hac33072_2
|
82 |
+
- gmpy2=2.1.5=py311hc4f1f91_1
|
83 |
+
- gnutls=3.7.9=hb077bed_0
|
84 |
+
- graphite2=1.3.13=h59595ed_1003
|
85 |
+
- h2=4.1.0=pyhd8ed1ab_0
|
86 |
+
- harfbuzz=9.0.0=hda332d3_1
|
87 |
+
- hpack=4.0.0=pyh9f0ad1d_0
|
88 |
+
- hyperframe=6.0.1=pyhd8ed1ab_0
|
89 |
+
- icu=75.1=he02047a_0
|
90 |
+
- idna=3.7=pyhd8ed1ab_0
|
91 |
+
- importlib-metadata=8.2.0=pyha770c72_0
|
92 |
+
- importlib_metadata=8.2.0=hd8ed1ab_0
|
93 |
+
- intel-openmp=2022.0.1=h06a4308_3633
|
94 |
+
- ipykernel=6.29.5=pyh3099207_0
|
95 |
+
- ipython=8.26.0=pyh707e725_0
|
96 |
+
- jedi=0.19.1=pyhd8ed1ab_0
|
97 |
+
- jinja2=3.1.4=pyhd8ed1ab_0
|
98 |
+
- jupyter_client=8.6.2=pyhd8ed1ab_0
|
99 |
+
- jupyter_core=5.7.2=py311h38be061_0
|
100 |
+
- keyutils=1.6.1=h166bdaf_0
|
101 |
+
- krb5=1.21.3=h659f571_0
|
102 |
+
- lame=3.100=h166bdaf_1003
|
103 |
+
- lcms2=2.16=hb7c19ff_0
|
104 |
+
- ld_impl_linux-64=2.40=hf3520f5_7
|
105 |
+
- lerc=4.0.0=h27087fc_0
|
106 |
+
- libabseil=20240116.2=cxx17_he02047a_1
|
107 |
+
- libasprintf=0.22.5=h661eb56_2
|
108 |
+
- libasprintf-devel=0.22.5=h661eb56_2
|
109 |
+
- libass=0.17.1=h39113c1_2
|
110 |
+
- libblas=3.9.0=16_linux64_mkl
|
111 |
+
- libcblas=3.9.0=16_linux64_mkl
|
112 |
+
- libcublas=12.1.0.26=0
|
113 |
+
- libcublas-dev=12.1.0.26=0
|
114 |
+
- libcublas-static=12.1.0.26=0
|
115 |
+
- libcufft=11.0.2.4=0
|
116 |
+
- libcufft-dev=11.0.2.4=0
|
117 |
+
- libcufft-static=11.0.2.4=0
|
118 |
+
- libcufile=1.6.0.25=0
|
119 |
+
- libcufile-dev=1.6.0.25=0
|
120 |
+
- libcufile-static=1.6.0.25=0
|
121 |
+
- libcurand=10.3.2.56=0
|
122 |
+
- libcurand-dev=10.3.2.56=0
|
123 |
+
- libcurand-static=10.3.2.56=0
|
124 |
+
- libcusolver=11.4.4.55=0
|
125 |
+
- libcusolver-dev=11.4.4.55=0
|
126 |
+
- libcusolver-static=11.4.4.55=0
|
127 |
+
- libcusparse=12.0.2.55=0
|
128 |
+
- libcusparse-dev=12.0.2.55=0
|
129 |
+
- libcusparse-static=12.0.2.55=0
|
130 |
+
- libdeflate=1.20=hd590300_0
|
131 |
+
- libdrm=2.4.122=h4ab18f5_0
|
132 |
+
- libedit=3.1.20191231=he28a2e2_2
|
133 |
+
- libexpat=2.6.2=h59595ed_0
|
134 |
+
- libffi=3.4.2=h7f98852_5
|
135 |
+
- libgcc-ng=14.1.0=h77fa898_0
|
136 |
+
- libgettextpo=0.22.5=h59595ed_2
|
137 |
+
- libgettextpo-devel=0.22.5=h59595ed_2
|
138 |
+
- libglib=2.80.3=h8a4344b_1
|
139 |
+
- libgomp=14.1.0=h77fa898_0
|
140 |
+
- libhwloc=2.11.1=default_hecaa2ac_1000
|
141 |
+
- libiconv=1.17=hd590300_2
|
142 |
+
- libidn2=2.3.7=hd590300_0
|
143 |
+
- libjpeg-turbo=3.0.0=hd590300_1
|
144 |
+
- liblapack=3.9.0=16_linux64_mkl
|
145 |
+
- libnpp=12.0.2.50=0
|
146 |
+
- libnpp-dev=12.0.2.50=0
|
147 |
+
- libnpp-static=12.0.2.50=0
|
148 |
+
- libnsl=2.0.1=hd590300_0
|
149 |
+
- libnvjitlink=12.1.105=0
|
150 |
+
- libnvjitlink-dev=12.1.55=0
|
151 |
+
- libnvjpeg=12.1.0.39=0
|
152 |
+
- libnvjpeg-dev=12.1.0.39=0
|
153 |
+
- libnvjpeg-static=12.1.0.39=0
|
154 |
+
- libnvvm-samples=12.1.55=0
|
155 |
+
- libopenvino=2024.2.0=h2da1b83_1
|
156 |
+
- libopenvino-auto-batch-plugin=2024.2.0=hb045406_1
|
157 |
+
- libopenvino-auto-plugin=2024.2.0=hb045406_1
|
158 |
+
- libopenvino-hetero-plugin=2024.2.0=h5c03a75_1
|
159 |
+
- libopenvino-intel-cpu-plugin=2024.2.0=h2da1b83_1
|
160 |
+
- libopenvino-intel-gpu-plugin=2024.2.0=h2da1b83_1
|
161 |
+
- libopenvino-intel-npu-plugin=2024.2.0=he02047a_1
|
162 |
+
- libopenvino-ir-frontend=2024.2.0=h5c03a75_1
|
163 |
+
- libopenvino-onnx-frontend=2024.2.0=h07e8aee_1
|
164 |
+
- libopenvino-paddle-frontend=2024.2.0=h07e8aee_1
|
165 |
+
- libopenvino-pytorch-frontend=2024.2.0=he02047a_1
|
166 |
+
- libopenvino-tensorflow-frontend=2024.2.0=h39126c6_1
|
167 |
+
- libopenvino-tensorflow-lite-frontend=2024.2.0=he02047a_1
|
168 |
+
- libopus=1.3.1=h7f98852_1
|
169 |
+
- libpciaccess=0.18=hd590300_0
|
170 |
+
- libpng=1.6.43=h2797004_0
|
171 |
+
- libprotobuf=4.25.3=h08a7969_0
|
172 |
+
- libsodium=1.0.18=h36c2ea0_1
|
173 |
+
- libsqlite=3.46.0=hde9e2c9_0
|
174 |
+
- libstdcxx-ng=14.1.0=hc0a3c3a_0
|
175 |
+
- libtasn1=4.19.0=h166bdaf_0
|
176 |
+
- libtiff=4.6.0=h1dd3fc0_3
|
177 |
+
- libunistring=0.9.10=h7f98852_0
|
178 |
+
- libuuid=2.38.1=h0b41bf4_0
|
179 |
+
- libva=2.22.0=hb711507_0
|
180 |
+
- libvpx=1.14.1=hac33072_0
|
181 |
+
- libwebp-base=1.4.0=hd590300_0
|
182 |
+
- libxcb=1.16=hd590300_0
|
183 |
+
- libxcrypt=4.4.36=hd590300_1
|
184 |
+
- libxml2=2.12.7=he7c6b58_4
|
185 |
+
- libzlib=1.3.1=h4ab18f5_1
|
186 |
+
- llvm-openmp=15.0.7=h0cdce71_0
|
187 |
+
- markupsafe=2.1.5=py311h459d7ec_0
|
188 |
+
- matplotlib-inline=0.1.7=pyhd8ed1ab_0
|
189 |
+
- mkl=2022.1.0=hc2b9512_224
|
190 |
+
- mpc=1.3.1=hfe3b2da_0
|
191 |
+
- mpfr=4.2.1=h38ae2d0_2
|
192 |
+
- mpmath=1.3.0=pyhd8ed1ab_0
|
193 |
+
- ncurses=6.5=h59595ed_0
|
194 |
+
- nest-asyncio=1.6.0=pyhd8ed1ab_0
|
195 |
+
- nettle=3.9.1=h7ab15ed_0
|
196 |
+
- networkx=3.3=pyhd8ed1ab_1
|
197 |
+
- nsight-compute=2023.1.0.15=0
|
198 |
+
- ocl-icd=2.3.2=hd590300_1
|
199 |
+
- openh264=2.4.1=h59595ed_0
|
200 |
+
- openjpeg=2.5.2=h488ebb8_0
|
201 |
+
- openssl=3.3.1=h4bc722e_2
|
202 |
+
- p11-kit=0.24.1=hc5aa10d_0
|
203 |
+
- packaging=24.1=pyhd8ed1ab_0
|
204 |
+
- parso=0.8.4=pyhd8ed1ab_0
|
205 |
+
- pcre2=10.44=h0f59acf_0
|
206 |
+
- pexpect=4.9.0=pyhd8ed1ab_0
|
207 |
+
- pickleshare=0.7.5=py_1003
|
208 |
+
- pillow=10.4.0=py311h82a398c_0
|
209 |
+
- pip=24.0=pyhd8ed1ab_0
|
210 |
+
- pixman=0.43.2=h59595ed_0
|
211 |
+
- prompt-toolkit=3.0.47=pyha770c72_0
|
212 |
+
- psutil=6.0.0=py311h331c9d8_0
|
213 |
+
- pthread-stubs=0.4=h36c2ea0_1001
|
214 |
+
- ptyprocess=0.7.0=pyhd3deb0d_0
|
215 |
+
- pugixml=1.14=h59595ed_0
|
216 |
+
- pure_eval=0.2.3=pyhd8ed1ab_0
|
217 |
+
- pycparser=2.22=pyhd8ed1ab_0
|
218 |
+
- pygments=2.18.0=pyhd8ed1ab_0
|
219 |
+
- pysocks=1.7.1=pyha2e5f31_6
|
220 |
+
- python=3.11.9=hb806964_0_cpython
|
221 |
+
- python_abi=3.11=4_cp311
|
222 |
+
- pytorch=2.4.0=py3.11_cuda12.1_cudnn9.1.0_0
|
223 |
+
- pytorch-cuda=12.1=ha16c6d3_5
|
224 |
+
- pytorch-mutex=1.0=cuda
|
225 |
+
- pyyaml=6.0.1=py311h459d7ec_1
|
226 |
+
- pyzmq=26.0.3=py311h08a0b41_0
|
227 |
+
- readline=8.2=h8228510_1
|
228 |
+
- requests=2.32.3=pyhd8ed1ab_0
|
229 |
+
- setuptools=71.0.4=pyhd8ed1ab_0
|
230 |
+
- six=1.16.0=pyh6c4a22f_0
|
231 |
+
- snappy=1.2.1=ha2e4443_0
|
232 |
+
- stack_data=0.6.2=pyhd8ed1ab_0
|
233 |
+
- svt-av1=2.1.2=hac33072_0
|
234 |
+
- sympy=1.13.0=pypyh2585a3b_103
|
235 |
+
- tbb=2021.12.0=h434a139_3
|
236 |
+
- tk=8.6.13=noxft_h4845f30_101
|
237 |
+
- torchaudio=2.4.0=py311_cu121
|
238 |
+
- torchtriton=3.0.0=py311
|
239 |
+
- tornado=6.4.1=py311h331c9d8_0
|
240 |
+
- traitlets=5.14.3=pyhd8ed1ab_0
|
241 |
+
- typing_extensions=4.12.2=pyha770c72_0
|
242 |
+
- urllib3=2.2.2=pyhd8ed1ab_1
|
243 |
+
- wayland=1.23.0=h5291e77_0
|
244 |
+
- wayland-protocols=1.36=hd8ed1ab_0
|
245 |
+
- wcwidth=0.2.13=pyhd8ed1ab_0
|
246 |
+
- wheel=0.43.0=pyhd8ed1ab_1
|
247 |
+
- x264=1!164.3095=h166bdaf_2
|
248 |
+
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|
249 |
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|
250 |
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251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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|
259 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
+
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
+
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|
279 |
+
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|
280 |
+
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|
281 |
+
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|
282 |
+
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|
283 |
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|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
292 |
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|
293 |
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|
294 |
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|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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|
302 |
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|
303 |
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|
304 |
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|
305 |
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|
306 |
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|
307 |
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|
308 |
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|
309 |
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|
310 |
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|
311 |
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|
312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
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|
320 |
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|
321 |
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|
322 |
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|
323 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
333 |
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|
334 |
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|
335 |
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|
336 |
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|
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|
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339 |
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|
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|
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|
349 |
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|
350 |
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|
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|
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|
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|
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|
358 |
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359 |
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|
360 |
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361 |
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|
363 |
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|
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365 |
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|
366 |
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|
367 |
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|
368 |
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|
369 |
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|
370 |
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|
371 |
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|
372 |
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|
373 |
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|
374 |
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|
375 |
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|
376 |
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|
377 |
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|
378 |
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|
379 |
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|
380 |
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|
381 |
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|
382 |
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|
383 |
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|
384 |
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|
385 |
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|
386 |
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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391 |
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|
392 |
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|
393 |
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|
394 |
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|
395 |
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|
396 |
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|
397 |
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|
398 |
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|
399 |
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|
400 |
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|
401 |
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|
402 |
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|
403 |
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|
404 |
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|
405 |
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|
406 |
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|
407 |
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|
408 |
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|
409 |
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|
410 |
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|
411 |
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|
412 |
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|
413 |
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414 |
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|
415 |
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416 |
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417 |
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418 |
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|
419 |
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420 |
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421 |
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422 |
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423 |
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|
424 |
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|
425 |
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426 |
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427 |
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428 |
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|
429 |
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430 |
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431 |
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|
432 |
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433 |
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|
434 |
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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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443 |
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|
444 |
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|
445 |
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|
446 |
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|
447 |
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|
448 |
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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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|
489 |
+
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|
490 |
+
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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 |
+
- tzdata==2024.1
|
501 |
+
- uvicorn==0.30.3
|
502 |
+
- uvloop==0.19.0
|
503 |
+
- vine==5.1.0
|
504 |
+
- virtualenv==20.26.3
|
505 |
+
- vllm==0.5.3.post1
|
506 |
+
- vllm-flash-attn==2.5.9.post1
|
507 |
+
- voluptuous==0.15.2
|
508 |
+
- wandb==0.17.5
|
509 |
+
- watchfiles==0.22.0
|
510 |
+
- websockets==11.0.3
|
511 |
+
- werkzeug==3.0.3
|
512 |
+
- xformers==0.0.27
|
513 |
+
- xxhash==3.4.1
|
514 |
+
- yarl==1.9.4
|
515 |
+
- zc-lockfile==3.0.post1
|
516 |
+
prefix: /aifs4su/yaodong/miniconda3/envs/hantao_tiv
|
wandb/run-20240921_115259-p9bvnzls/files/config.yaml
ADDED
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wandb_version: 1
|
2 |
+
|
3 |
+
train_cfgs:
|
4 |
+
desc: null
|
5 |
+
value:
|
6 |
+
ds_cfgs: ds_z3_config.json
|
7 |
+
epochs: 3
|
8 |
+
seed: 42
|
9 |
+
per_device_train_batch_size: 1.0
|
10 |
+
per_device_eval_batch_size: 1.0
|
11 |
+
gradient_accumulation_steps: 1.0
|
12 |
+
gradient_checkpointing: true
|
13 |
+
learning_rate: 1.0e-06
|
14 |
+
lr_scheduler_type: cosine
|
15 |
+
lr_warmup_ratio: 0.01
|
16 |
+
weight_decay: 0.0
|
17 |
+
adam_betas:
|
18 |
+
- 0.9
|
19 |
+
- 0.95
|
20 |
+
bf16: true
|
21 |
+
fp16: false
|
22 |
+
eval_strategy: epoch
|
23 |
+
eval_interval: 10
|
24 |
+
regularization: 0.001
|
25 |
+
scale_coeff: 0.1
|
26 |
+
freeze_mm_proj: false
|
27 |
+
freeze_vision_tower: true
|
28 |
+
freeze_language_model: false
|
29 |
+
data_cfgs:
|
30 |
+
desc: null
|
31 |
+
value:
|
32 |
+
train_datasets: /aifs4su/yaodong/datasets/aaa_dataset/TV2T-preference/extracted
|
33 |
+
train_template: NExTQA_preference
|
34 |
+
train_size: null
|
35 |
+
train_split: train
|
36 |
+
train_subset: null
|
37 |
+
train_data_files: extracted_preference_1.5k_washed.json
|
38 |
+
train_optional_args: []
|
39 |
+
eval_datasets: null
|
40 |
+
eval_template: null
|
41 |
+
eval_size: null
|
42 |
+
eval_split: null
|
43 |
+
eval_subset: null
|
44 |
+
eval_data_files: null
|
45 |
+
eval_optional_args: []
|
46 |
+
logger_cfgs:
|
47 |
+
desc: null
|
48 |
+
value:
|
49 |
+
log_type: wandb
|
50 |
+
log_project: align-anything
|
51 |
+
log_run_name: dpo
|
52 |
+
output_dir: ../outputs/dpo_tiv2t_1.5k_base
|
53 |
+
cache_dir: null
|
54 |
+
save_interval: 100000
|
55 |
+
model_cfgs:
|
56 |
+
desc: null
|
57 |
+
value:
|
58 |
+
model_name_or_path: /aifs4su/yaodong/models/Qwen2-VL-7B-Instruct
|
59 |
+
trust_remote_code: true
|
60 |
+
model_max_length: 4096
|
61 |
+
special_tokens:
|
62 |
+
desc: null
|
63 |
+
value: null
|
64 |
+
_wandb:
|
65 |
+
desc: null
|
66 |
+
value:
|
67 |
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python_version: 3.11.9
|
68 |
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cli_version: 0.17.5
|
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framework: huggingface
|
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huggingface_version: 4.45.0.dev0
|
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is_jupyter_run: false
|
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is_kaggle_kernel: false
|
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start_time: 1726890779
|
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t:
|
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4: 3.11.9
|
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|
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6: 4.45.0.dev0
|
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8:
|
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- 5
|
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13: linux-x86_64
|
wandb/run-20240921_115259-p9bvnzls/files/output.log
ADDED
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1 |
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|
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***** Running training *****
|
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Training 1/3 epoch: 0%| | 0/531 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
|
5 |
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/aifs4su/yaodong/miniconda3/envs/hantao_tiv/lib/python3.11/site-packages/torch/utils/checkpoint.py:295: FutureWarning: `torch.cpu.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cpu', args...)` instead.
|
6 |
+
with torch.enable_grad(), device_autocast_ctx, torch.cpu.amp.autocast(**ctx.cpu_autocast_kwargs): # type: ignore[attr-defined]
|
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Training 1/3 epoch (loss 1.9530): 2%|██▍ | 9/531 [01:54<1:39:32, 11.44s/it]
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Training 1/3 epoch (loss 0.8921): 4%|█████ | 19/531 [03:48<1:32:14, 10.81s/it]
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Training 1/3 epoch (loss 0.8901): 5%|███████▋ | 29/531 [05:46<1:37:31, 11.66s/it]
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Training 1/3 epoch (loss 0.9671): 7%|██████████▎ | 39/531 [07:46<1:37:35, 11.90s/it]
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Training 1/3 epoch (loss 1.4778): 9%|█████████████ | 49/531 [09:32<1:23:36, 10.41s/it]
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Training 1/3 epoch (loss 0.3492): 11%|███████████████▋ | 59/531 [11:20<1:14:53, 9.52s/it]
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Training 1/3 epoch (loss 0.6911): 13%|██████████████████▎ | 69/531 [12:54<1:14:58, 9.74s/it]
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Training 1/3 epoch (loss 0.7152): 15%|████████████████████▉ | 79/531 [14:59<1:19:35, 10.57s/it]
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Training 1/3 epoch (loss 0.5334): 17%|███████████████████████▋ | 89/531 [16:40<1:15:43, 10.28s/it]
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Training 1/3 epoch (loss 0.4098): 19%|██████████████████████████▎ | 99/531 [18:32<1:10:19, 9.77s/it]
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Training 1/3 epoch (loss 0.4588): 21%|████████████████████████████▋ | 109/531 [20:15<1:15:50, 10.78s/it]
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Training 1/3 epoch (loss 1.6005): 22%|███████████████████████████████▎ | 119/531 [21:59<1:05:54, 9.60s/it]
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Training 1/3 epoch (loss 0.2724): 24%|██████████████████████████████████ | 129/531 [23:35<1:06:56, 9.99s/it]
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Training 1/3 epoch (loss 1.3423): 26%|████████████████████████████████████▋ | 139/531 [25:06<1:00:28, 9.26s/it]
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Training 1/3 epoch (loss 0.4799): 28%|███████████████████████████████████████▎ | 149/531 [26:57<1:20:06, 12.58s/it]
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Training 1/3 epoch (loss 0.2165): 30%|█████████████████████████████████████████▉ | 159/531 [29:00<1:02:28, 10.08s/it]
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|
wandb/run-20240921_115259-p9bvnzls/files/requirements.txt
ADDED
@@ -0,0 +1,325 @@
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|
1 |
+
Brotli==1.1.0
|
2 |
+
GitPython==3.1.43
|
3 |
+
Jinja2==3.1.4
|
4 |
+
Markdown==3.6
|
5 |
+
MarkupSafe==2.1.5
|
6 |
+
PySocks==1.7.1
|
7 |
+
PyYAML==6.0.1
|
8 |
+
Pygments==2.18.0
|
9 |
+
Werkzeug==3.0.3
|
10 |
+
about-time==4.2.1
|
11 |
+
absl-py==2.1.0
|
12 |
+
accelerate==0.34.0
|
13 |
+
aiofiles==23.2.1
|
14 |
+
aiohttp-retry==2.8.3
|
15 |
+
aiohttp==3.9.5
|
16 |
+
aiosignal==1.3.1
|
17 |
+
align-anything==0.0.1.dev0
|
18 |
+
align-anything==0.0.1.dev0
|
19 |
+
alive-progress==3.1.5
|
20 |
+
amqp==5.2.0
|
21 |
+
annotated-types==0.7.0
|
22 |
+
antlr4-python3-runtime==4.9.3
|
23 |
+
anyio==4.4.0
|
24 |
+
appdirs==1.4.4
|
25 |
+
asttokens==2.4.1
|
26 |
+
asyncssh==2.16.0
|
27 |
+
atpublic==5.0
|
28 |
+
attrs==23.2.0
|
29 |
+
audioread==3.0.1
|
30 |
+
autocommand==2.2.2
|
31 |
+
backoff==2.2.1
|
32 |
+
backports.tarfile==1.2.0
|
33 |
+
billiard==4.2.0
|
34 |
+
boto3==1.35.9
|
35 |
+
botocore==1.35.9
|
36 |
+
cachetools==5.4.0
|
37 |
+
celery==5.4.0
|
38 |
+
certifi==2024.7.4
|
39 |
+
cffi==1.16.0
|
40 |
+
cfgv==3.4.0
|
41 |
+
charset-normalizer==3.3.2
|
42 |
+
click-didyoumean==0.3.1
|
43 |
+
click-plugins==1.1.1
|
44 |
+
click-repl==0.3.0
|
45 |
+
click==8.1.7
|
46 |
+
cloudpickle==3.0.0
|
47 |
+
cmake==3.30.1
|
48 |
+
colorama==0.4.6
|
49 |
+
comm==0.2.2
|
50 |
+
commonmark==0.9.1
|
51 |
+
configobj==5.0.8
|
52 |
+
contourpy==1.2.1
|
53 |
+
cryptography==43.0.0
|
54 |
+
cycler==0.12.1
|
55 |
+
dacite==1.6.0
|
56 |
+
dagshub-annotation-converter==0.1.0
|
57 |
+
dagshub==0.3.35
|
58 |
+
dataclasses-json==0.6.7
|
59 |
+
datasets==2.20.0
|
60 |
+
debugpy==1.8.2
|
61 |
+
decorator==4.4.2
|
62 |
+
deepspeed==0.14.4
|
63 |
+
dictdiffer==0.9.0
|
64 |
+
diffusers==0.29.2
|
65 |
+
dill==0.3.8
|
66 |
+
diskcache==5.6.3
|
67 |
+
distlib==0.3.8
|
68 |
+
distro==1.9.0
|
69 |
+
dnspython==2.6.1
|
70 |
+
docker-pycreds==0.4.0
|
71 |
+
docstring_parser==0.16
|
72 |
+
dpath==2.2.0
|
73 |
+
dulwich==0.22.1
|
74 |
+
dvc-data==3.16.5
|
75 |
+
dvc-http==2.32.0
|
76 |
+
dvc-objects==5.1.0
|
77 |
+
dvc-render==1.0.2
|
78 |
+
dvc-studio-client==0.21.0
|
79 |
+
dvc-task==0.4.0
|
80 |
+
dvc==3.55.1
|
81 |
+
einops==0.8.0
|
82 |
+
email_validator==2.2.0
|
83 |
+
entrypoints==0.4
|
84 |
+
exceptiongroup==1.2.2
|
85 |
+
executing==2.0.1
|
86 |
+
fastapi-cli==0.0.4
|
87 |
+
fastapi==0.111.1
|
88 |
+
ffmpy==0.3.3
|
89 |
+
filelock==3.15.4
|
90 |
+
fire==0.6.0
|
91 |
+
flatten-dict==0.4.2
|
92 |
+
flufl.lock==8.1.0
|
93 |
+
fonttools==4.53.1
|
94 |
+
frozenlist==1.4.1
|
95 |
+
fsspec==2024.5.0
|
96 |
+
funcy==2.0
|
97 |
+
fusepy==3.0.1
|
98 |
+
gitdb==4.0.11
|
99 |
+
gmpy2==2.1.5
|
100 |
+
gql==3.5.0
|
101 |
+
gradio==4.39.0
|
102 |
+
gradio_client==1.1.1
|
103 |
+
gradio_multimodalchatbot==0.0.1
|
104 |
+
grandalf==0.8
|
105 |
+
grapheme==0.6.0
|
106 |
+
graphql-core==3.2.3
|
107 |
+
grpcio==1.65.1
|
108 |
+
gto==1.7.1
|
109 |
+
h11==0.14.0
|
110 |
+
h2==4.1.0
|
111 |
+
hjson==3.1.0
|
112 |
+
hpack==4.0.0
|
113 |
+
httpcore==1.0.5
|
114 |
+
httptools==0.6.1
|
115 |
+
httpx==0.27.2
|
116 |
+
huggingface-hub==0.24.3
|
117 |
+
hydra-core==1.3.2
|
118 |
+
hyperframe==6.0.1
|
119 |
+
identify==2.6.0
|
120 |
+
idna==3.7
|
121 |
+
imageio-ffmpeg==0.5.1
|
122 |
+
imageio==2.35.1
|
123 |
+
importlib_metadata==8.0.0
|
124 |
+
importlib_metadata==8.2.0
|
125 |
+
importlib_resources==6.4.0
|
126 |
+
importlib_resources==6.4.0
|
127 |
+
inflect==7.3.1
|
128 |
+
iniconfig==2.0.0
|
129 |
+
interegular==0.3.3
|
130 |
+
ipykernel==6.29.5
|
131 |
+
ipython==8.26.0
|
132 |
+
iterative-telemetry==0.0.8
|
133 |
+
jaraco.context==5.3.0
|
134 |
+
jaraco.functools==4.0.1
|
135 |
+
jaraco.text==3.12.1
|
136 |
+
jedi==0.19.1
|
137 |
+
jmespath==1.0.1
|
138 |
+
joblib==1.4.2
|
139 |
+
jsonschema-specifications==2023.12.1
|
140 |
+
jsonschema==4.23.0
|
141 |
+
jupyter_client==8.6.2
|
142 |
+
jupyter_core==5.7.2
|
143 |
+
kiwisolver==1.4.5
|
144 |
+
kombu==5.4.0
|
145 |
+
lark==1.1.9
|
146 |
+
lazy_loader==0.4
|
147 |
+
librosa==0.10.2.post1
|
148 |
+
llamafactory==0.8.4.dev0
|
149 |
+
llamafactory==0.8.4.dev0
|
150 |
+
llvmlite==0.43.0
|
151 |
+
lm-format-enforcer==0.10.3
|
152 |
+
lxml==5.3.0
|
153 |
+
markdown-it-py==3.0.0
|
154 |
+
marshmallow==3.22.0
|
155 |
+
matplotlib-inline==0.1.7
|
156 |
+
matplotlib==3.9.1
|
157 |
+
mdurl==0.1.2
|
158 |
+
mmsg==0.1.dev14+gbd2b056.d20240803
|
159 |
+
more-itertools==10.3.0
|
160 |
+
moviepy==1.0.3
|
161 |
+
mpi4py==4.0.0
|
162 |
+
mpmath==1.3.0
|
163 |
+
msgpack==1.0.8
|
164 |
+
multidict==6.0.5
|
165 |
+
multiprocess==0.70.16
|
166 |
+
mypy-extensions==1.0.0
|
167 |
+
nest_asyncio==1.6.0
|
168 |
+
networkx==3.3
|
169 |
+
ninja==1.11.1.1
|
170 |
+
nodeenv==1.9.1
|
171 |
+
numba==0.60.0
|
172 |
+
numpy==1.26.4
|
173 |
+
nvidia-cublas-cu12==12.1.3.1
|
174 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
175 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
176 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
177 |
+
nvidia-cudnn-cu12==8.9.2.26
|
178 |
+
nvidia-cufft-cu12==11.0.2.54
|
179 |
+
nvidia-curand-cu12==10.3.2.106
|
180 |
+
nvidia-cusolver-cu12==11.4.5.107
|
181 |
+
nvidia-cusparse-cu12==12.1.0.106
|
182 |
+
nvidia-ml-py==12.535.161
|
183 |
+
nvidia-nccl-cu12==2.20.5
|
184 |
+
nvidia-nvjitlink-cu12==12.5.82
|
185 |
+
nvidia-nvtx-cu12==12.1.105
|
186 |
+
nvitop==1.3.2
|
187 |
+
omegaconf==2.3.0
|
188 |
+
openai==1.37.1
|
189 |
+
optree==0.12.1
|
190 |
+
ordered-set==4.1.0
|
191 |
+
orjson==3.10.6
|
192 |
+
outlines==0.0.47.dev37+g26e2934
|
193 |
+
packaging==24.1
|
194 |
+
packaging==24.1
|
195 |
+
pandas==2.2.2
|
196 |
+
parso==0.8.4
|
197 |
+
pathspec==0.12.1
|
198 |
+
pathvalidate==3.0.0
|
199 |
+
peft==0.12.0
|
200 |
+
pexpect==4.9.0
|
201 |
+
pickleshare==0.7.5
|
202 |
+
pillow==10.4.0
|
203 |
+
pip==24.0
|
204 |
+
platformdirs==3.11.0
|
205 |
+
platformdirs==4.2.2
|
206 |
+
pluggy==1.5.0
|
207 |
+
pooch==1.8.2
|
208 |
+
pre-commit==3.8.0
|
209 |
+
proglog==0.1.10
|
210 |
+
prometheus-fastapi-instrumentator==7.0.0
|
211 |
+
prometheus_client==0.20.0
|
212 |
+
prompt_toolkit==3.0.47
|
213 |
+
protobuf==4.25.4
|
214 |
+
psutil==6.0.0
|
215 |
+
ptyprocess==0.7.0
|
216 |
+
pure_eval==0.2.3
|
217 |
+
py-cpuinfo==9.0.0
|
218 |
+
pyairports==2.1.1
|
219 |
+
pyarrow-hotfix==0.6
|
220 |
+
pyarrow==17.0.0
|
221 |
+
pyav==13.0.0
|
222 |
+
pycountry==24.6.1
|
223 |
+
pycparser==2.22
|
224 |
+
pydantic==2.8.2
|
225 |
+
pydantic_core==2.20.1
|
226 |
+
pydot==3.0.1
|
227 |
+
pydub==0.25.1
|
228 |
+
pygit2==1.15.1
|
229 |
+
pygtrie==2.5.0
|
230 |
+
pyparsing==3.1.2
|
231 |
+
pytest==8.3.2
|
232 |
+
python-dateutil==2.9.0
|
233 |
+
python-dateutil==2.9.0.post0
|
234 |
+
python-dotenv==1.0.1
|
235 |
+
python-multipart==0.0.9
|
236 |
+
pytz==2024.1
|
237 |
+
pyzmq==26.0.3
|
238 |
+
ranger-fm==1.9.3
|
239 |
+
ray==2.34.0
|
240 |
+
referencing==0.35.1
|
241 |
+
regex==2024.7.24
|
242 |
+
requests-toolbelt==1.0.0
|
243 |
+
requests==2.32.3
|
244 |
+
rfc3986==1.5.0
|
245 |
+
rich==13.1.0
|
246 |
+
rpds-py==0.19.1
|
247 |
+
ruamel.yaml.clib==0.2.8
|
248 |
+
ruamel.yaml==0.18.6
|
249 |
+
ruff==0.5.5
|
250 |
+
s3transfer==0.10.2
|
251 |
+
safetensors==0.4.3
|
252 |
+
scikit-learn==1.5.1
|
253 |
+
scipy==1.14.0
|
254 |
+
scmrepo==3.3.7
|
255 |
+
semantic-version==2.10.0
|
256 |
+
semver==3.0.2
|
257 |
+
sentencepiece==0.2.0
|
258 |
+
sentry-sdk==2.11.0
|
259 |
+
setproctitle==1.3.3
|
260 |
+
setuptools==71.0.4
|
261 |
+
shellingham==1.5.4
|
262 |
+
shortuuid==1.0.13
|
263 |
+
shtab==1.7.1
|
264 |
+
six==1.16.0
|
265 |
+
smmap==5.0.1
|
266 |
+
sniffio==1.3.1
|
267 |
+
soundfile==0.12.1
|
268 |
+
soxr==0.4.0
|
269 |
+
sqltrie==0.11.1
|
270 |
+
sse-starlette==2.1.3
|
271 |
+
stack-data==0.6.2
|
272 |
+
starlette==0.37.2
|
273 |
+
sympy==1.13.0
|
274 |
+
tabulate==0.9.0
|
275 |
+
tenacity==8.2.3
|
276 |
+
tensorboard-data-server==0.7.2
|
277 |
+
tensorboard==2.17.0
|
278 |
+
term-image==0.7.2
|
279 |
+
termcolor==2.4.0
|
280 |
+
threadpoolctl==3.5.0
|
281 |
+
tiktoken==0.7.0
|
282 |
+
tokenizers==0.19.1
|
283 |
+
tomli==2.0.1
|
284 |
+
tomlkit==0.12.0
|
285 |
+
torch==2.3.1
|
286 |
+
torch==2.4.0
|
287 |
+
torchaudio==2.4.0
|
288 |
+
torchvision==0.18.1
|
289 |
+
torchvision==0.19.0
|
290 |
+
tornado==6.4.1
|
291 |
+
tqdm==4.66.4
|
292 |
+
traitlets==5.14.3
|
293 |
+
transformers==4.45.0.dev0
|
294 |
+
treelib==1.6.4
|
295 |
+
triton==2.3.1
|
296 |
+
triton==3.0.0
|
297 |
+
trl==0.9.6
|
298 |
+
typeguard==4.3.0
|
299 |
+
typer==0.12.3
|
300 |
+
typing-inspect==0.9.0
|
301 |
+
typing_extensions==4.12.2
|
302 |
+
typing_extensions==4.12.2
|
303 |
+
tyro==0.8.10
|
304 |
+
tzdata==2024.1
|
305 |
+
urllib3==2.2.2
|
306 |
+
uvicorn==0.30.3
|
307 |
+
uvloop==0.19.0
|
308 |
+
vine==5.1.0
|
309 |
+
virtualenv==20.26.3
|
310 |
+
vllm-flash-attn==2.5.9.post1
|
311 |
+
vllm==0.5.3.post1
|
312 |
+
voluptuous==0.15.2
|
313 |
+
wandb==0.17.5
|
314 |
+
watchfiles==0.22.0
|
315 |
+
wcwidth==0.2.13
|
316 |
+
websockets==11.0.3
|
317 |
+
wheel==0.43.0
|
318 |
+
wheel==0.43.0
|
319 |
+
xformers==0.0.27
|
320 |
+
xxhash==3.4.1
|
321 |
+
yarl==1.9.4
|
322 |
+
zc.lockfile==3.0.post1
|
323 |
+
zipp==3.19.2
|
324 |
+
zipp==3.19.2
|
325 |
+
zstandard==0.23.0
|
wandb/run-20240921_115259-p9bvnzls/files/wandb-metadata.json
ADDED
@@ -0,0 +1,1215 @@
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1 |
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1157 |
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1158 |
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1159 |
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1160 |
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1161 |
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1162 |
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1163 |
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1164 |
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{
|
1165 |
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|
1166 |
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1167 |
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1168 |
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1169 |
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1170 |
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1171 |
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1178 |
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1179 |
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{
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1180 |
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|
1181 |
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|
1182 |
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|
1183 |
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{
|
1184 |
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|
1185 |
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1186 |
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1187 |
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{
|
1188 |
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1189 |
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|
1190 |
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|
1191 |
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{
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1192 |
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"name": "NVIDIA H800",
|
1193 |
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|
1194 |
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1195 |
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{
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1196 |
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|
1197 |
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|
1198 |
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1199 |
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{
|
1200 |
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"name": "NVIDIA H800",
|
1201 |
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|
1202 |
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|
1203 |
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{
|
1204 |
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"name": "NVIDIA H800",
|
1205 |
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|
1206 |
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},
|
1207 |
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{
|
1208 |
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"name": "NVIDIA H800",
|
1209 |
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|
1210 |
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|
1211 |
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1212 |
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"memory": {
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|
1214 |
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1215 |
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|
wandb/run-20240921_115259-p9bvnzls/files/wandb-summary.json
ADDED
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|
|
|
|
|
1 |
+
{"train/step": 166, "train/loss": 2.49491810798645, "train/reward": -24.865015029907227, "train/better_sample_reward": -12.784756660461426, "train/worse_sample_reward": -12.080260276794434, "train/reward_accuracy": 0.625, "train/reward_margin": -0.7044967412948608, "train/lr": 7.861083133307247e-07, "train/epoch": 0.9378531073446328, "_timestamp": 1726892593.1315699, "_runtime": 1813.9295139312744, "_step": 166}
|
wandb/run-20240921_115259-p9bvnzls/logs/debug-internal.log
ADDED
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|
|