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- .gitattributes +56 -0
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wandb/run-20251223_104324-n3pfi4rh/files/media/table/val/generations_9_88cbe3ce2d889ce5443f.table.json
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wandb/run-20251223_104324-n3pfi4rh/files/wandb-metadata.json
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{
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"os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
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"python": "CPython 3.10.19",
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"startedAt": "2025-12-23T02:43:24.841856Z",
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"args": [
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"--node-ip-address=10.119.27.15",
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"--node-manager-port=36023",
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"--object-store-name=/tmp/ray/session_2025-12-23_10-42-16_877831_50/sockets/plasma_store",
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"--raylet-name=/tmp/ray/session_2025-12-23_10-42-16_877831_50/sockets/raylet",
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"--gcs-address=10.119.27.15:60351",
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"--session-name=session_2025-12-23_10-42-16_877831_50",
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"--temp-dir=/tmp/ray",
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| 19 |
+
"--cluster-id=3c16589c706f9bd1b7997d1d044734e34fb27ed9459c80a0f73a31f4",
|
| 20 |
+
"--startup-token=112",
|
| 21 |
+
"--worker-launch-time-ms=1766457740461",
|
| 22 |
+
"--node-id=ec0c655eb4974319fe2633c297f64c6d39bff482098f213750131c1b",
|
| 23 |
+
"--runtime-env-hash=-839022692"
|
| 24 |
+
],
|
| 25 |
+
"program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
|
| 26 |
+
"git": {
|
| 27 |
+
"remote": "https://github.com/mll-lab-nu/RAGEN.git",
|
| 28 |
+
"commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
|
| 29 |
+
},
|
| 30 |
+
"email": "haoyu-wa22@mails.tsinghua.edu.cn",
|
| 31 |
+
"root": "/mnt/general/wanghy/RAGEN",
|
| 32 |
+
"host": "pt-da75b07ed54847818ae4deb96803738a-worker-0",
|
| 33 |
+
"executable": "/root/local/miniconda3/envs/ragen/bin/python",
|
| 34 |
+
"cpu_count": 64,
|
| 35 |
+
"cpu_count_logical": 128,
|
| 36 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 37 |
+
"gpu_count": 8,
|
| 38 |
+
"disk": {
|
| 39 |
+
"/": {
|
| 40 |
+
"total": "5153960755200",
|
| 41 |
+
"used": "3293184"
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"memory": {
|
| 45 |
+
"total": "2163642085376"
|
| 46 |
+
},
|
| 47 |
+
"gpu_nvidia": [
|
| 48 |
+
{
|
| 49 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
+
"memoryTotal": "85520809984",
|
| 51 |
+
"cudaCores": 16896,
|
| 52 |
+
"architecture": "Hopper",
|
| 53 |
+
"uuid": "GPU-e2a04128-a80b-fb3a-5ee9-c5dba7df295c"
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 57 |
+
"memoryTotal": "85520809984",
|
| 58 |
+
"cudaCores": 16896,
|
| 59 |
+
"architecture": "Hopper",
|
| 60 |
+
"uuid": "GPU-f08adf9f-5ec4-2689-733a-69bb915cf2bf"
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 64 |
+
"memoryTotal": "85520809984",
|
| 65 |
+
"cudaCores": 16896,
|
| 66 |
+
"architecture": "Hopper",
|
| 67 |
+
"uuid": "GPU-5acd9470-2074-3de9-3170-043bbb8164d7"
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 71 |
+
"memoryTotal": "85520809984",
|
| 72 |
+
"cudaCores": 16896,
|
| 73 |
+
"architecture": "Hopper",
|
| 74 |
+
"uuid": "GPU-58ebe3c9-7574-74f8-30e9-437fabb9621f"
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 78 |
+
"memoryTotal": "85520809984",
|
| 79 |
+
"cudaCores": 16896,
|
| 80 |
+
"architecture": "Hopper",
|
| 81 |
+
"uuid": "GPU-100c1a6b-4cb7-1dad-215d-458b1d556ea2"
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 85 |
+
"memoryTotal": "85520809984",
|
| 86 |
+
"cudaCores": 16896,
|
| 87 |
+
"architecture": "Hopper",
|
| 88 |
+
"uuid": "GPU-91f28bf3-4426-fe95-7883-776aa9c3250e"
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 92 |
+
"memoryTotal": "85520809984",
|
| 93 |
+
"cudaCores": 16896,
|
| 94 |
+
"architecture": "Hopper",
|
| 95 |
+
"uuid": "GPU-cfef758f-0cc6-cbb2-bd39-cccffa06c1f1"
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 99 |
+
"memoryTotal": "85520809984",
|
| 100 |
+
"cudaCores": 16896,
|
| 101 |
+
"architecture": "Hopper",
|
| 102 |
+
"uuid": "GPU-53604749-45ad-a53c-e6bc-c4561faa4537"
|
| 103 |
+
}
|
| 104 |
+
],
|
| 105 |
+
"cudaVersion": "12.4",
|
| 106 |
+
"writerId": "hp67flws5uz5sgae5atkvnwki03jrv30"
|
| 107 |
+
}
|
wandb/run-20251223_143956-j99y7wmg/files/config.yaml
ADDED
|
@@ -0,0 +1,962 @@
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|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.23.0
|
| 4 |
+
e:
|
| 5 |
+
r6rqd8hdo8tj42561p2zpmmja16i10o0:
|
| 6 |
+
args:
|
| 7 |
+
- --node-ip-address=10.119.27.78
|
| 8 |
+
- --node-manager-port=39781
|
| 9 |
+
- --object-store-name=/tmp/ray/session_2025-12-23_14-38-25_311441_232140/sockets/plasma_store
|
| 10 |
+
- --raylet-name=/tmp/ray/session_2025-12-23_14-38-25_311441_232140/sockets/raylet
|
| 11 |
+
- --redis-address=None
|
| 12 |
+
- --metrics-agent-port=59070
|
| 13 |
+
- --logging-rotate-bytes=536870912
|
| 14 |
+
- --logging-rotate-backup-count=5
|
| 15 |
+
- --runtime-env-agent-port=49205
|
| 16 |
+
- --gcs-address=10.119.27.78:55860
|
| 17 |
+
- --session-name=session_2025-12-23_14-38-25_311441_232140
|
| 18 |
+
- --temp-dir=/tmp/ray
|
| 19 |
+
- --webui=127.0.0.1:8266
|
| 20 |
+
- --cluster-id=2a8894614d53b90cc1b296d7e8a8366147e300ed49845ecaf21eb66e
|
| 21 |
+
- --startup-token=112
|
| 22 |
+
- --worker-launch-time-ms=1766471916513
|
| 23 |
+
- --node-id=5d4521550952e8f46b81e4dee690150b30e50107d219479c295da656
|
| 24 |
+
- --runtime-env-hash=-839022692
|
| 25 |
+
cpu_count: 64
|
| 26 |
+
cpu_count_logical: 128
|
| 27 |
+
cudaVersion: "12.4"
|
| 28 |
+
disk:
|
| 29 |
+
/:
|
| 30 |
+
total: "5153960755200"
|
| 31 |
+
used: "473100161024"
|
| 32 |
+
email: haoyu-wa22@mails.tsinghua.edu.cn
|
| 33 |
+
executable: /root/local/miniconda3/envs/ragen/bin/python
|
| 34 |
+
git:
|
| 35 |
+
commit: 8d73639b99b38265453f898b8d6af7d4af50d56e
|
| 36 |
+
remote: https://github.com/mll-lab-nu/RAGEN.git
|
| 37 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 38 |
+
gpu_count: 8
|
| 39 |
+
gpu_nvidia:
|
| 40 |
+
- architecture: Hopper
|
| 41 |
+
cudaCores: 16896
|
| 42 |
+
memoryTotal: "85520809984"
|
| 43 |
+
name: NVIDIA H100 80GB HBM3
|
| 44 |
+
uuid: GPU-35e2d43d-4067-82ce-90d4-def9e389bf28
|
| 45 |
+
- architecture: Hopper
|
| 46 |
+
cudaCores: 16896
|
| 47 |
+
memoryTotal: "85520809984"
|
| 48 |
+
name: NVIDIA H100 80GB HBM3
|
| 49 |
+
uuid: GPU-af4135e3-88f2-e9ac-518d-502c75a85429
|
| 50 |
+
- architecture: Hopper
|
| 51 |
+
cudaCores: 16896
|
| 52 |
+
memoryTotal: "85520809984"
|
| 53 |
+
name: NVIDIA H100 80GB HBM3
|
| 54 |
+
uuid: GPU-d7fdeeba-fe9b-ec03-d9f7-6724fe4266b5
|
| 55 |
+
- architecture: Hopper
|
| 56 |
+
cudaCores: 16896
|
| 57 |
+
memoryTotal: "85520809984"
|
| 58 |
+
name: NVIDIA H100 80GB HBM3
|
| 59 |
+
uuid: GPU-ccc4f668-3882-5a8e-2c07-c5cd08f6f666
|
| 60 |
+
- architecture: Hopper
|
| 61 |
+
cudaCores: 16896
|
| 62 |
+
memoryTotal: "85520809984"
|
| 63 |
+
name: NVIDIA H100 80GB HBM3
|
| 64 |
+
uuid: GPU-7b73c0cf-d3d5-e10c-7176-a43be1e41001
|
| 65 |
+
- architecture: Hopper
|
| 66 |
+
cudaCores: 16896
|
| 67 |
+
memoryTotal: "85520809984"
|
| 68 |
+
name: NVIDIA H100 80GB HBM3
|
| 69 |
+
uuid: GPU-81b58d94-5d1f-8ec2-f9d2-fd56172ed177
|
| 70 |
+
- architecture: Hopper
|
| 71 |
+
cudaCores: 16896
|
| 72 |
+
memoryTotal: "85520809984"
|
| 73 |
+
name: NVIDIA H100 80GB HBM3
|
| 74 |
+
uuid: GPU-03e8bc66-3b44-6794-49fd-5392fbdda6d1
|
| 75 |
+
- architecture: Hopper
|
| 76 |
+
cudaCores: 16896
|
| 77 |
+
memoryTotal: "85520809984"
|
| 78 |
+
name: NVIDIA H100 80GB HBM3
|
| 79 |
+
uuid: GPU-b7cf0ec6-7c29-1179-dceb-09565da51890
|
| 80 |
+
host: pt-4d654cf4576f4d23ad3d3919f12932fe-worker-0
|
| 81 |
+
memory:
|
| 82 |
+
total: "2163642122240"
|
| 83 |
+
os: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35
|
| 84 |
+
program: /root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py
|
| 85 |
+
python: CPython 3.10.19
|
| 86 |
+
root: /mnt/general/wanghy/RAGEN
|
| 87 |
+
startedAt: "2025-12-23T06:39:56.847118Z"
|
| 88 |
+
writerId: r6rqd8hdo8tj42561p2zpmmja16i10o0
|
| 89 |
+
m: []
|
| 90 |
+
python_version: 3.10.19
|
| 91 |
+
t:
|
| 92 |
+
"1":
|
| 93 |
+
- 1
|
| 94 |
+
- 5
|
| 95 |
+
- 11
|
| 96 |
+
- 30
|
| 97 |
+
- 41
|
| 98 |
+
- 49
|
| 99 |
+
- 50
|
| 100 |
+
- 51
|
| 101 |
+
- 53
|
| 102 |
+
- 71
|
| 103 |
+
- 95
|
| 104 |
+
- 97
|
| 105 |
+
- 98
|
| 106 |
+
- 105
|
| 107 |
+
"2":
|
| 108 |
+
- 1
|
| 109 |
+
- 5
|
| 110 |
+
- 11
|
| 111 |
+
- 30
|
| 112 |
+
- 41
|
| 113 |
+
- 49
|
| 114 |
+
- 50
|
| 115 |
+
- 51
|
| 116 |
+
- 53
|
| 117 |
+
- 71
|
| 118 |
+
- 95
|
| 119 |
+
- 97
|
| 120 |
+
- 98
|
| 121 |
+
- 105
|
| 122 |
+
"3":
|
| 123 |
+
- 2
|
| 124 |
+
- 13
|
| 125 |
+
- 16
|
| 126 |
+
- 61
|
| 127 |
+
"4": 3.10.19
|
| 128 |
+
"5": 0.23.0
|
| 129 |
+
"6": 4.57.1
|
| 130 |
+
"12": 0.23.0
|
| 131 |
+
"13": linux-x86_64
|
| 132 |
+
actor_rollout_ref:
|
| 133 |
+
value:
|
| 134 |
+
actor:
|
| 135 |
+
_target_: verl.workers.config.FSDPActorConfig
|
| 136 |
+
checkpoint:
|
| 137 |
+
_target_: verl.trainer.config.CheckpointConfig
|
| 138 |
+
async_save: false
|
| 139 |
+
load_contents:
|
| 140 |
+
- model
|
| 141 |
+
- optimizer
|
| 142 |
+
- extra
|
| 143 |
+
save_contents:
|
| 144 |
+
- model
|
| 145 |
+
- optimizer
|
| 146 |
+
- extra
|
| 147 |
+
clip_ratio: 0.2
|
| 148 |
+
clip_ratio_c: 3
|
| 149 |
+
clip_ratio_high: 0.28
|
| 150 |
+
clip_ratio_low: 0.2
|
| 151 |
+
entropy_checkpointing: false
|
| 152 |
+
entropy_coeff: 0.001
|
| 153 |
+
entropy_from_logits_with_chunking: false
|
| 154 |
+
freeze_vision_tower: false
|
| 155 |
+
fsdp_config:
|
| 156 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 157 |
+
entropy_checkpointing: false
|
| 158 |
+
entropy_from_logits_with_chunking: false
|
| 159 |
+
forward_only: false
|
| 160 |
+
forward_prefetch: false
|
| 161 |
+
fsdp_size: -1
|
| 162 |
+
model_dtype: fp32
|
| 163 |
+
offload_policy: false
|
| 164 |
+
optimizer_offload: false
|
| 165 |
+
param_offload: false
|
| 166 |
+
reshard_after_forward: true
|
| 167 |
+
strategy: fsdp
|
| 168 |
+
ulysses_sequence_parallel_size: 1
|
| 169 |
+
use_orig_params: false
|
| 170 |
+
use_torch_compile: true
|
| 171 |
+
wrap_policy:
|
| 172 |
+
min_num_params: 0
|
| 173 |
+
grad_clip: 1
|
| 174 |
+
grpo_advantage_length_weight: false
|
| 175 |
+
kl_loss_coef: 0
|
| 176 |
+
kl_loss_type: kl
|
| 177 |
+
loss_agg_mode: token-mean
|
| 178 |
+
optim:
|
| 179 |
+
_target_: verl.workers.config.FSDPOptimizerConfig
|
| 180 |
+
betas:
|
| 181 |
+
- 0.9
|
| 182 |
+
- 0.999
|
| 183 |
+
clip_grad: 1
|
| 184 |
+
lr: 1e-06
|
| 185 |
+
lr_warmup_steps: -1
|
| 186 |
+
lr_warmup_steps_ratio: 0
|
| 187 |
+
min_lr_ratio: 0
|
| 188 |
+
num_cycles: 0.5
|
| 189 |
+
total_training_steps: 200
|
| 190 |
+
warmup_style: constant
|
| 191 |
+
weight_decay: 0.01
|
| 192 |
+
policy_loss:
|
| 193 |
+
_target_: verl.workers.config.PolicyLossConfig
|
| 194 |
+
clip_cov_lb: 1
|
| 195 |
+
clip_cov_ratio: 0.0002
|
| 196 |
+
clip_cov_ub: 5
|
| 197 |
+
kl_cov_ratio: 0.0002
|
| 198 |
+
loss_mode: vanilla
|
| 199 |
+
ppo_kl_coef: 0.1
|
| 200 |
+
ppo_epochs: 1
|
| 201 |
+
ppo_max_token_len_per_gpu: 16384
|
| 202 |
+
ppo_micro_batch_size: null
|
| 203 |
+
ppo_micro_batch_size_per_gpu: 1
|
| 204 |
+
ppo_mini_batch_size: 32
|
| 205 |
+
profiler:
|
| 206 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 207 |
+
all_ranks: false
|
| 208 |
+
enable: false
|
| 209 |
+
ranks: []
|
| 210 |
+
save_path: outputs/profile
|
| 211 |
+
tool: null
|
| 212 |
+
tool_config:
|
| 213 |
+
npu:
|
| 214 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 215 |
+
analysis: true
|
| 216 |
+
contents: []
|
| 217 |
+
discrete: false
|
| 218 |
+
level: level1
|
| 219 |
+
nsys:
|
| 220 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 221 |
+
discrete: false
|
| 222 |
+
torch:
|
| 223 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 224 |
+
step_end: null
|
| 225 |
+
step_start: 0
|
| 226 |
+
torch_memory:
|
| 227 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 228 |
+
stack_depth: 32
|
| 229 |
+
trace_alloc_max_entries: 100000
|
| 230 |
+
shuffle: false
|
| 231 |
+
strategy: fsdp
|
| 232 |
+
tis_imp_ratio_cap: -1
|
| 233 |
+
ulysses_sequence_parallel_size: 1
|
| 234 |
+
use_dynamic_bsz: false
|
| 235 |
+
use_fused_kernels: false
|
| 236 |
+
use_kl_loss: false
|
| 237 |
+
use_ref: true
|
| 238 |
+
use_remove_padding: false
|
| 239 |
+
use_torch_compile: true
|
| 240 |
+
hybrid_engine: true
|
| 241 |
+
model:
|
| 242 |
+
_target_: verl.workers.config.HFModelConfig
|
| 243 |
+
custom_chat_template: null
|
| 244 |
+
enable_activation_offload: false
|
| 245 |
+
enable_gradient_checkpointing: true
|
| 246 |
+
exclude_modules: null
|
| 247 |
+
external_lib: null
|
| 248 |
+
fused_kernel_options:
|
| 249 |
+
impl_backend: torch
|
| 250 |
+
hf_config_path: null
|
| 251 |
+
lora_alpha: 16
|
| 252 |
+
lora_rank: 0
|
| 253 |
+
path: /mnt/general/share/model/meta-llama/Llama-3.2-1B-Instruct
|
| 254 |
+
target_modules: all-linear
|
| 255 |
+
tokenizer_path: null
|
| 256 |
+
torch_dtype: bfloat16
|
| 257 |
+
trust_remote_code: false
|
| 258 |
+
use_fused_kernels: false
|
| 259 |
+
use_liger: false
|
| 260 |
+
use_remove_padding: false
|
| 261 |
+
use_shm: false
|
| 262 |
+
nccl_timeout: 600
|
| 263 |
+
ref:
|
| 264 |
+
entropy_checkpointing: false
|
| 265 |
+
entropy_from_logits_with_chunking: false
|
| 266 |
+
fsdp_config:
|
| 267 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 268 |
+
entropy_checkpointing: false
|
| 269 |
+
entropy_from_logits_with_chunking: false
|
| 270 |
+
forward_only: false
|
| 271 |
+
forward_prefetch: false
|
| 272 |
+
fsdp_size: -1
|
| 273 |
+
model_dtype: fp32
|
| 274 |
+
offload_policy: false
|
| 275 |
+
optimizer_offload: false
|
| 276 |
+
param_offload: false
|
| 277 |
+
reshard_after_forward: true
|
| 278 |
+
strategy: fsdp
|
| 279 |
+
ulysses_sequence_parallel_size: 1
|
| 280 |
+
use_orig_params: false
|
| 281 |
+
use_torch_compile: true
|
| 282 |
+
wrap_policy:
|
| 283 |
+
min_num_params: 0
|
| 284 |
+
log_prob_max_token_len_per_gpu: 16384
|
| 285 |
+
log_prob_micro_batch_size: null
|
| 286 |
+
log_prob_micro_batch_size_per_gpu: 1
|
| 287 |
+
log_prob_use_dynamic_bsz: false
|
| 288 |
+
model: null
|
| 289 |
+
profiler:
|
| 290 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 291 |
+
all_ranks: false
|
| 292 |
+
enable: false
|
| 293 |
+
ranks: []
|
| 294 |
+
save_path: outputs/profile
|
| 295 |
+
tool: null
|
| 296 |
+
tool_config:
|
| 297 |
+
npu:
|
| 298 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 299 |
+
analysis: true
|
| 300 |
+
contents: []
|
| 301 |
+
discrete: false
|
| 302 |
+
level: level1
|
| 303 |
+
nsys:
|
| 304 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 305 |
+
discrete: false
|
| 306 |
+
torch:
|
| 307 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 308 |
+
step_end: null
|
| 309 |
+
step_start: 0
|
| 310 |
+
torch_memory:
|
| 311 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 312 |
+
stack_depth: 32
|
| 313 |
+
trace_alloc_max_entries: 100000
|
| 314 |
+
strategy: fsdp
|
| 315 |
+
ulysses_sequence_parallel_size: 1
|
| 316 |
+
use_torch_compile: true
|
| 317 |
+
rollout:
|
| 318 |
+
_target_: verl.workers.config.RolloutConfig
|
| 319 |
+
agent:
|
| 320 |
+
_target_: verl.workers.config.AgentLoopConfig
|
| 321 |
+
agent_loop_config_path: null
|
| 322 |
+
custom_async_server:
|
| 323 |
+
_target_: verl.workers.config.CustomAsyncServerConfig
|
| 324 |
+
name: null
|
| 325 |
+
path: null
|
| 326 |
+
num_workers: 8
|
| 327 |
+
calculate_log_probs: false
|
| 328 |
+
cudagraph_capture_sizes: null
|
| 329 |
+
data_parallel_size: 1
|
| 330 |
+
disable_log_stats: true
|
| 331 |
+
do_sample: true
|
| 332 |
+
dtype: bfloat16
|
| 333 |
+
enable_chunked_prefill: true
|
| 334 |
+
enable_prefix_caching: true
|
| 335 |
+
enforce_eager: true
|
| 336 |
+
expert_parallel_size: 1
|
| 337 |
+
free_cache_engine: true
|
| 338 |
+
gpu_memory_utilization: 0.7
|
| 339 |
+
ignore_eos: false
|
| 340 |
+
layered_summon: false
|
| 341 |
+
load_format: dummy
|
| 342 |
+
log_prob_max_token_len_per_gpu: 16384
|
| 343 |
+
log_prob_micro_batch_size: null
|
| 344 |
+
log_prob_micro_batch_size_per_gpu: 1
|
| 345 |
+
log_prob_use_dynamic_bsz: false
|
| 346 |
+
max_model_len: 16384
|
| 347 |
+
max_num_batched_tokens: 16384
|
| 348 |
+
max_num_seqs: 1024
|
| 349 |
+
mode: sync
|
| 350 |
+
multi_stage_wake_up: false
|
| 351 |
+
multi_turn:
|
| 352 |
+
_target_: verl.workers.config.MultiTurnConfig
|
| 353 |
+
enable: false
|
| 354 |
+
format: hermes
|
| 355 |
+
interaction_config_path: null
|
| 356 |
+
max_assistant_turns: null
|
| 357 |
+
max_parallel_calls: 1
|
| 358 |
+
max_tool_response_length: 256
|
| 359 |
+
max_user_turns: null
|
| 360 |
+
num_repeat_rollouts: null
|
| 361 |
+
tokenization_sanity_check_mode: strict
|
| 362 |
+
tool_config_path: null
|
| 363 |
+
tool_response_truncate_side: middle
|
| 364 |
+
use_inference_chat_template: false
|
| 365 |
+
"n": 1
|
| 366 |
+
name: vllm
|
| 367 |
+
over_sample_rate: 0
|
| 368 |
+
profiler:
|
| 369 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 370 |
+
all_ranks: false
|
| 371 |
+
enable: false
|
| 372 |
+
ranks: []
|
| 373 |
+
save_path: outputs/profile
|
| 374 |
+
tool: null
|
| 375 |
+
tool_config:
|
| 376 |
+
npu:
|
| 377 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 378 |
+
analysis: true
|
| 379 |
+
contents: []
|
| 380 |
+
discrete: false
|
| 381 |
+
level: level1
|
| 382 |
+
nsys:
|
| 383 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 384 |
+
discrete: false
|
| 385 |
+
torch:
|
| 386 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 387 |
+
step_end: null
|
| 388 |
+
step_start: 0
|
| 389 |
+
torch_memory:
|
| 390 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 391 |
+
stack_depth: 32
|
| 392 |
+
trace_alloc_max_entries: 100000
|
| 393 |
+
prompt_length: 1
|
| 394 |
+
response_length: 500
|
| 395 |
+
rollout_filter_metric: reward_variance
|
| 396 |
+
rollout_filter_ratio: 0.25
|
| 397 |
+
rollout_filter_type: largest
|
| 398 |
+
skip_dump_dir: /tmp/rollout_dump
|
| 399 |
+
skip_rollout: false
|
| 400 |
+
skip_tokenizer_init: true
|
| 401 |
+
temperature: 1
|
| 402 |
+
tensor_model_parallel_size: 1
|
| 403 |
+
top_k: -1
|
| 404 |
+
top_p: 1
|
| 405 |
+
trace:
|
| 406 |
+
_target_: verl.workers.config.TraceConfig
|
| 407 |
+
backend: null
|
| 408 |
+
token2text: false
|
| 409 |
+
update_weights_bucket_megabytes: 512
|
| 410 |
+
val_kwargs:
|
| 411 |
+
_target_: verl.workers.config.SamplingConfig
|
| 412 |
+
do_sample: true
|
| 413 |
+
"n": 1
|
| 414 |
+
temperature: 0.5
|
| 415 |
+
top_k: -1
|
| 416 |
+
top_p: 1
|
| 417 |
+
agent_proxy:
|
| 418 |
+
value:
|
| 419 |
+
action_sep: '||'
|
| 420 |
+
enable_think: true
|
| 421 |
+
max_actions_per_turn: 4
|
| 422 |
+
max_context_window: 5
|
| 423 |
+
max_turn: 25
|
| 424 |
+
reward_normalization:
|
| 425 |
+
grouping: state
|
| 426 |
+
method: identity
|
| 427 |
+
use_turn_scores: false
|
| 428 |
+
algorithm:
|
| 429 |
+
value:
|
| 430 |
+
_target_: verl.trainer.config.AlgoConfig
|
| 431 |
+
adv_estimator: gae
|
| 432 |
+
bi_level_gae: false
|
| 433 |
+
gamma: 1
|
| 434 |
+
high_level_gamma: 0.95
|
| 435 |
+
kl_ctrl:
|
| 436 |
+
_target_: verl.trainer.config.KLControlConfig
|
| 437 |
+
horizon: 10000
|
| 438 |
+
kl_coef: 0
|
| 439 |
+
target_kl: 0.1
|
| 440 |
+
type: fixed
|
| 441 |
+
kl_penalty: kl
|
| 442 |
+
lam: 1
|
| 443 |
+
norm_adv_by_std_in_grpo: true
|
| 444 |
+
pf_ppo:
|
| 445 |
+
reweight_method: pow
|
| 446 |
+
weight_pow: 2
|
| 447 |
+
use_kl_in_reward: false
|
| 448 |
+
use_pf_ppo: false
|
| 449 |
+
critic:
|
| 450 |
+
value:
|
| 451 |
+
_target_: verl.workers.config.FSDPCriticConfig
|
| 452 |
+
checkpoint:
|
| 453 |
+
_target_: verl.trainer.config.CheckpointConfig
|
| 454 |
+
async_save: false
|
| 455 |
+
load_contents:
|
| 456 |
+
- model
|
| 457 |
+
- optimizer
|
| 458 |
+
- extra
|
| 459 |
+
save_contents:
|
| 460 |
+
- model
|
| 461 |
+
- optimizer
|
| 462 |
+
- extra
|
| 463 |
+
cliprange_value: 0.5
|
| 464 |
+
enable: null
|
| 465 |
+
forward_max_token_len_per_gpu: 32768
|
| 466 |
+
forward_micro_batch_size: null
|
| 467 |
+
forward_micro_batch_size_per_gpu: 1
|
| 468 |
+
grad_clip: 1
|
| 469 |
+
loss_agg_mode: token-mean
|
| 470 |
+
model:
|
| 471 |
+
_target_: verl.workers.config.FSDPCriticModelCfg
|
| 472 |
+
enable_activation_offload: false
|
| 473 |
+
enable_gradient_checkpointing: true
|
| 474 |
+
external_lib: null
|
| 475 |
+
fsdp_config:
|
| 476 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 477 |
+
entropy_checkpointing: false
|
| 478 |
+
entropy_from_logits_with_chunking: false
|
| 479 |
+
forward_only: false
|
| 480 |
+
forward_prefetch: false
|
| 481 |
+
fsdp_size: -1
|
| 482 |
+
model_dtype: fp32
|
| 483 |
+
offload_policy: false
|
| 484 |
+
optimizer_offload: false
|
| 485 |
+
param_offload: false
|
| 486 |
+
reshard_after_forward: true
|
| 487 |
+
strategy: fsdp
|
| 488 |
+
ulysses_sequence_parallel_size: 1
|
| 489 |
+
use_orig_params: false
|
| 490 |
+
use_torch_compile: true
|
| 491 |
+
wrap_policy:
|
| 492 |
+
min_num_params: 0
|
| 493 |
+
lora_alpha: 16
|
| 494 |
+
lora_rank: 0
|
| 495 |
+
path: /mnt/general/share/model/meta-llama/Llama-3.2-1B-Instruct
|
| 496 |
+
target_modules: all-linear
|
| 497 |
+
tokenizer_path: /mnt/general/share/model/meta-llama/Llama-3.2-1B-Instruct
|
| 498 |
+
trust_remote_code: false
|
| 499 |
+
use_remove_padding: false
|
| 500 |
+
use_shm: false
|
| 501 |
+
optim:
|
| 502 |
+
_target_: verl.workers.config.FSDPOptimizerConfig
|
| 503 |
+
betas:
|
| 504 |
+
- 0.9
|
| 505 |
+
- 0.999
|
| 506 |
+
clip_grad: 1
|
| 507 |
+
lr: 1e-05
|
| 508 |
+
lr_warmup_steps: -1
|
| 509 |
+
lr_warmup_steps_ratio: 0
|
| 510 |
+
min_lr_ratio: 0
|
| 511 |
+
num_cycles: 0.5
|
| 512 |
+
total_training_steps: 200
|
| 513 |
+
warmup_style: constant
|
| 514 |
+
weight_decay: 0.01
|
| 515 |
+
ppo_epochs: 1
|
| 516 |
+
ppo_max_token_len_per_gpu: 32768
|
| 517 |
+
ppo_micro_batch_size: null
|
| 518 |
+
ppo_micro_batch_size_per_gpu: 1
|
| 519 |
+
ppo_mini_batch_size: 32
|
| 520 |
+
profiler:
|
| 521 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 522 |
+
all_ranks: false
|
| 523 |
+
enable: false
|
| 524 |
+
ranks: []
|
| 525 |
+
save_path: outputs/profile
|
| 526 |
+
tool: null
|
| 527 |
+
tool_config:
|
| 528 |
+
npu:
|
| 529 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 530 |
+
analysis: true
|
| 531 |
+
contents: []
|
| 532 |
+
discrete: false
|
| 533 |
+
level: level1
|
| 534 |
+
nsys:
|
| 535 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 536 |
+
discrete: false
|
| 537 |
+
torch:
|
| 538 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 539 |
+
step_end: null
|
| 540 |
+
step_start: 0
|
| 541 |
+
torch_memory:
|
| 542 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 543 |
+
stack_depth: 32
|
| 544 |
+
trace_alloc_max_entries: 100000
|
| 545 |
+
rollout_n: 1
|
| 546 |
+
shuffle: false
|
| 547 |
+
strategy: fsdp
|
| 548 |
+
ulysses_sequence_parallel_size: 1
|
| 549 |
+
use_dynamic_bsz: false
|
| 550 |
+
ctx_manager:
|
| 551 |
+
value:
|
| 552 |
+
generation:
|
| 553 |
+
gen_config:
|
| 554 |
+
kwargs: null
|
| 555 |
+
response_length: 500
|
| 556 |
+
temperature: 1
|
| 557 |
+
top_k: -1
|
| 558 |
+
top_p: 1
|
| 559 |
+
custom_envs:
|
| 560 |
+
value:
|
| 561 |
+
Bandit:
|
| 562 |
+
env_config:
|
| 563 |
+
split: train
|
| 564 |
+
env_instruction: ""
|
| 565 |
+
env_type: bandit
|
| 566 |
+
max_actions_per_traj: 1
|
| 567 |
+
max_tokens: 100
|
| 568 |
+
BanditTest:
|
| 569 |
+
env_config:
|
| 570 |
+
split: test
|
| 571 |
+
env_instruction: ""
|
| 572 |
+
env_type: bandit
|
| 573 |
+
max_actions_per_traj: 1
|
| 574 |
+
max_tokens: 100
|
| 575 |
+
CoordFrozenLake:
|
| 576 |
+
env_config:
|
| 577 |
+
observation_format: grid_coord
|
| 578 |
+
env_instruction: |
|
| 579 |
+
You are solving the FrozenLake puzzle. The observation includes both a symbol grid and zero-indexed coordinates for the start, goal, player, and any holes.
|
| 580 |
+
Coordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5).
|
| 581 |
+
Beware that the ice is slippery, so the agent might slide and end up in an unintended tile.
|
| 582 |
+
Respond with a sequence of actions such as <answer>Left || Up || Up</answer>.
|
| 583 |
+
env_type: frozen_lake
|
| 584 |
+
max_actions_per_traj: 25
|
| 585 |
+
max_tokens: 120
|
| 586 |
+
CoordSokoban:
|
| 587 |
+
env_config:
|
| 588 |
+
dim_x: 6
|
| 589 |
+
dim_y: 6
|
| 590 |
+
max_steps: 100
|
| 591 |
+
num_boxes: 2
|
| 592 |
+
observation_format: grid_coord
|
| 593 |
+
env_instruction: "You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets.\nYou are provided with a symbol grid and the zero-indexed coordinates of the player, each box, and each target. \nCoordinates range from the top-left corner (0, 0) to the bottom-right corner (5, 5). \nWhen you are exactly next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box.\nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>.\n"
|
| 594 |
+
env_type: sokoban
|
| 595 |
+
max_actions_per_traj: 10
|
| 596 |
+
max_tokens: 120
|
| 597 |
+
Countdown:
|
| 598 |
+
env_config: null
|
| 599 |
+
env_instruction: 'You are solving the Countdown puzzle. You should use the num list to create an equation that equals the target. Example answer format: <think> To find an equation using [3, 5, 2] to get 4. Let''s check 2 + 5 = 7, 7 - 3 = 4. So the answer is 2 + 5 - 3 = 4. </think><answer>2 + 5 - 3</answer>'
|
| 600 |
+
env_type: countdown
|
| 601 |
+
max_actions_per_traj: 1
|
| 602 |
+
max_tokens: 100
|
| 603 |
+
FrozenLake:
|
| 604 |
+
env_config: null
|
| 605 |
+
env_instruction: 'You are solving the FrozenLake puzzle. Forbid the whole and go to the target. You may move to the unintended direction due to the slippery ice. Example answer format: <think>To forbid the hole and go to the target, I should go left then go up.</think><answer>Left || Up</answer>'
|
| 606 |
+
env_type: frozen_lake
|
| 607 |
+
max_actions_per_traj: 25
|
| 608 |
+
max_tokens: 100
|
| 609 |
+
LargerSokoban:
|
| 610 |
+
env_config:
|
| 611 |
+
dim_x: 8
|
| 612 |
+
dim_y: 8
|
| 613 |
+
max_steps: 100
|
| 614 |
+
num_boxes: 2
|
| 615 |
+
search_depth: 10
|
| 616 |
+
env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
|
| 617 |
+
env_type: sokoban
|
| 618 |
+
max_actions_per_traj: 10
|
| 619 |
+
max_tokens: 100
|
| 620 |
+
Lean:
|
| 621 |
+
env_config: null
|
| 622 |
+
env_instruction: You are a Lean theorem prover. Given a Lean theorem statement, propose a sequence of tactics that completes the proof. Think step by step about which tactics to apply next. Provide tactics separated by '||', for example <answer>intro || simp || rfl</answer>.
|
| 623 |
+
env_type: lean
|
| 624 |
+
max_actions_per_traj: 30
|
| 625 |
+
max_tokens: 512
|
| 626 |
+
MediumSudoku:
|
| 627 |
+
env_config:
|
| 628 |
+
difficulty: medium
|
| 629 |
+
grid_size: 9
|
| 630 |
+
max_steps: 81
|
| 631 |
+
render_format: with_feedback
|
| 632 |
+
show_conflicts: true
|
| 633 |
+
show_valid_numbers: true
|
| 634 |
+
env_instruction: |
|
| 635 |
+
You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 3x3 box contains the numbers 1-9 without repetition.
|
| 636 |
+
Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
|
| 637 |
+
Place numbers one at a time using the format: <answer>place 5 at row 2 col 3</answer> or <answer>2,3,5</answer>
|
| 638 |
+
The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
|
| 639 |
+
env_type: sudoku
|
| 640 |
+
max_actions_per_traj: 30
|
| 641 |
+
max_tokens: 150
|
| 642 |
+
max_workers: 32
|
| 643 |
+
parallel_friendly: false
|
| 644 |
+
MetamathQA:
|
| 645 |
+
env_config: null
|
| 646 |
+
env_instruction: 'You are solving Math problems. '
|
| 647 |
+
env_type: metamathqa
|
| 648 |
+
max_actions_per_traj: 1
|
| 649 |
+
max_tokens: 100
|
| 650 |
+
SimpleSokoban:
|
| 651 |
+
env_config:
|
| 652 |
+
dim_x: 6
|
| 653 |
+
dim_y: 6
|
| 654 |
+
max_steps: 100
|
| 655 |
+
num_boxes: 2
|
| 656 |
+
env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
|
| 657 |
+
env_type: sokoban
|
| 658 |
+
max_actions_per_traj: 10
|
| 659 |
+
max_tokens: 100
|
| 660 |
+
SimpleSudoku:
|
| 661 |
+
env_config:
|
| 662 |
+
difficulty: easy
|
| 663 |
+
grid_size: 4
|
| 664 |
+
max_steps: 20
|
| 665 |
+
render_format: with_feedback
|
| 666 |
+
show_conflicts: false
|
| 667 |
+
show_valid_numbers: false
|
| 668 |
+
env_instruction: |
|
| 669 |
+
You are solving a Sudoku puzzle. Fill in the grid so that every row, column, and 2x2 box contains the numbers 1-4 without repetition.
|
| 670 |
+
Initial cells are shown in [brackets] and cannot be modified. Empty cells are shown as dots (.).
|
| 671 |
+
Place numbers one at a time using the format, for example: <answer>place 1 at row 2 col 3</answer> or <answer>1,2,3</answer>
|
| 672 |
+
The environment will provide feedback on valid/invalid moves and show conflicts if any occur.
|
| 673 |
+
env_type: sudoku
|
| 674 |
+
max_actions_per_traj: 20
|
| 675 |
+
max_tokens: 150
|
| 676 |
+
max_workers: 32
|
| 677 |
+
parallel_friendly: false
|
| 678 |
+
SokobanDifferentGridVocab:
|
| 679 |
+
env_config:
|
| 680 |
+
dim_x: 6
|
| 681 |
+
dim_y: 6
|
| 682 |
+
grid_lookup:
|
| 683 |
+
"0": W
|
| 684 |
+
"1": .
|
| 685 |
+
"2": G
|
| 686 |
+
"3": C
|
| 687 |
+
"4": B
|
| 688 |
+
"5": A
|
| 689 |
+
"6": '@'
|
| 690 |
+
grid_vocab:
|
| 691 |
+
.: empty
|
| 692 |
+
'@': player on target
|
| 693 |
+
A: player
|
| 694 |
+
B: box
|
| 695 |
+
C: box on target
|
| 696 |
+
G: target
|
| 697 |
+
W: wall
|
| 698 |
+
max_steps: 100
|
| 699 |
+
num_boxes: 1
|
| 700 |
+
search_depth: 30
|
| 701 |
+
env_instruction: "You are solving the Sokoban puzzle. \nYou are the player and you need to push all boxes to targets. \nWhen you are right next to a box, you can push it by moving in the same direction. \nYou cannot push a box through a wall, and you cannot pull a box. \nThe answer should be a sequence of actions, like <answer>Right || Right || Up</answer>\n"
|
| 702 |
+
env_type: sokoban
|
| 703 |
+
max_actions_per_traj: 10
|
| 704 |
+
max_tokens: 100
|
| 705 |
+
VisualSimpleSokoban:
|
| 706 |
+
env_config:
|
| 707 |
+
dim_x: 6
|
| 708 |
+
dim_y: 6
|
| 709 |
+
max_steps: 100
|
| 710 |
+
num_boxes: 1
|
| 711 |
+
render_mode: rgb_array
|
| 712 |
+
env_instruction: You are solving the Sokoban puzzle. You are the player and you need to push all boxes to targets. When you are right next to a box, you can push it by moving in the same direction. You cannot push a box through a wall, and you cannot pull a box. The answer should be a sequence of actions, like <answer>Right || Right || Up</answer>
|
| 713 |
+
env_type: sokoban
|
| 714 |
+
max_actions_per_traj: 10
|
| 715 |
+
max_tokens: 100
|
| 716 |
+
WebShop:
|
| 717 |
+
env_config:
|
| 718 |
+
dataset: small
|
| 719 |
+
env_instruction: 'You are browsing an online shop. Based on the instruction, buy a product that close to the production description. You need to search, read the search results, pick a product, choose the size and color and buy. You should only choose action from the available actions list provided later. Example process: I need a gingko light and 20x20 pillow cover that is hand painted. First search[gingko light 20x20 pillow cover hand painted], answer format: <answer>search[blanket with fleece throw]</answer>. Valid answer is search[<keywords>] or click[<clickable>].'
|
| 720 |
+
env_type: webshop
|
| 721 |
+
max_actions_per_traj: 9
|
| 722 |
+
max_tokens: 200
|
| 723 |
+
blackjack:
|
| 724 |
+
env_config: null
|
| 725 |
+
env_instruction: |
|
| 726 |
+
You are playing Blackjack against a dealer. The dealer must hit on 16 or less and stand on 17 or more.
|
| 727 |
+
Choose either Stick or Hit. Respond with a single action.
|
| 728 |
+
Example: <answer>Hit</answer>
|
| 729 |
+
env_type: blackjack
|
| 730 |
+
max_actions_per_traj: 10
|
| 731 |
+
max_tokens: 64
|
| 732 |
+
game_2048:
|
| 733 |
+
env_config: null
|
| 734 |
+
env_instruction: |
|
| 735 |
+
You are playing the 2048 game on a 4x4 grid. Merge equal tiles by sliding Up, Right, Down, or Left.
|
| 736 |
+
If a move is invalid (no tiles move), a small penalty is applied. Respond with a single action.
|
| 737 |
+
Example: <answer>Up</answer>
|
| 738 |
+
env_type: game_2048
|
| 739 |
+
max_actions_per_traj: 700
|
| 740 |
+
max_tokens: 8192
|
| 741 |
+
rubikscube:
|
| 742 |
+
env_config:
|
| 743 |
+
max_steps: 20
|
| 744 |
+
render_mode: text
|
| 745 |
+
scramble_depth: 2
|
| 746 |
+
env_instruction: |
|
| 747 |
+
You are solving a 2x2 Rubik's Cube (Pocket Cube). The goal is to restore the cube so that each of the faces consists of a single, unique color.
|
| 748 |
+
Available actions use standard Singmaster notation for face rotations: U, U', D, D', L, L', R, R', F, F', B, B'.
|
| 749 |
+
- Faces: U (Up), D (Down), L (Left), R (Right), F (Front), B (Back).
|
| 750 |
+
- Modifiers: A letter alone means 90° clockwise (e.g., 'R'). A letter with prime (') means 90° counter-clockwise (e.g., "R'").
|
| 751 |
+
Respond with a sequence of actions separated by "||".
|
| 752 |
+
Example: <answer>U</answer>
|
| 753 |
+
env_type: rubikscube
|
| 754 |
+
max_actions_per_traj: 20
|
| 755 |
+
max_tokens: 96
|
| 756 |
+
custom_reward_function:
|
| 757 |
+
value:
|
| 758 |
+
name: compute_score
|
| 759 |
+
path: null
|
| 760 |
+
data:
|
| 761 |
+
value:
|
| 762 |
+
custom_cls:
|
| 763 |
+
name: null
|
| 764 |
+
path: null
|
| 765 |
+
datagen:
|
| 766 |
+
name: null
|
| 767 |
+
path: null
|
| 768 |
+
dataloader_num_workers: 8
|
| 769 |
+
filter_overlong_prompts: false
|
| 770 |
+
filter_overlong_prompts_workers: 1
|
| 771 |
+
image_key: images
|
| 772 |
+
max_prompt_length: null
|
| 773 |
+
max_response_length: null
|
| 774 |
+
prompt_key: prompt
|
| 775 |
+
return_full_prompt: false
|
| 776 |
+
return_multi_modal_inputs: true
|
| 777 |
+
return_raw_chat: false
|
| 778 |
+
return_raw_input_ids: false
|
| 779 |
+
reward_fn_key: data_source
|
| 780 |
+
sampler:
|
| 781 |
+
class_name: null
|
| 782 |
+
class_path: null
|
| 783 |
+
shuffle: true
|
| 784 |
+
tokenizer: null
|
| 785 |
+
train_batch_size: 128
|
| 786 |
+
train_files: ~/data/rlhf/gsm8k/train.parquet
|
| 787 |
+
truncation: error
|
| 788 |
+
trust_remote_code: false
|
| 789 |
+
use_shm: false
|
| 790 |
+
val_batch_size: null
|
| 791 |
+
val_files: ~/data/rlhf/gsm8k/test.parquet
|
| 792 |
+
validation_shuffle: false
|
| 793 |
+
video_key: videos
|
| 794 |
+
enable_response_mask:
|
| 795 |
+
value: true
|
| 796 |
+
es_manager:
|
| 797 |
+
value:
|
| 798 |
+
format_penalty: -0.1
|
| 799 |
+
train:
|
| 800 |
+
env_configs:
|
| 801 |
+
n_groups:
|
| 802 |
+
- 8
|
| 803 |
+
tags:
|
| 804 |
+
- rubikscube
|
| 805 |
+
env_groups: 8
|
| 806 |
+
group_size: 16
|
| 807 |
+
val:
|
| 808 |
+
env_configs:
|
| 809 |
+
n_groups:
|
| 810 |
+
- 256
|
| 811 |
+
tags:
|
| 812 |
+
- rubikscube
|
| 813 |
+
env_groups: 256
|
| 814 |
+
group_size: 1
|
| 815 |
+
global_profiler:
|
| 816 |
+
value:
|
| 817 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 818 |
+
global_tool_config:
|
| 819 |
+
nsys:
|
| 820 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 821 |
+
controller_nsight_options:
|
| 822 |
+
cuda-graph-trace: graph
|
| 823 |
+
cuda-memory-usage: "true"
|
| 824 |
+
trace: cuda,nvtx,cublas,ucx
|
| 825 |
+
discrete: false
|
| 826 |
+
worker_nsight_options:
|
| 827 |
+
capture-range: cudaProfilerApi
|
| 828 |
+
capture-range-end: null
|
| 829 |
+
cuda-graph-trace: graph
|
| 830 |
+
cuda-memory-usage: "true"
|
| 831 |
+
kill: none
|
| 832 |
+
trace: cuda,nvtx,cublas,ucx
|
| 833 |
+
torch_memory:
|
| 834 |
+
context: all
|
| 835 |
+
stack_depth: 32
|
| 836 |
+
stacks: all
|
| 837 |
+
trace_alloc_max_entries: 100000
|
| 838 |
+
profile_continuous_steps: false
|
| 839 |
+
save_path: outputs/profile
|
| 840 |
+
steps: null
|
| 841 |
+
tool: null
|
| 842 |
+
grpo_advantage_length_weight:
|
| 843 |
+
value: false
|
| 844 |
+
lora:
|
| 845 |
+
value:
|
| 846 |
+
alpha: 16
|
| 847 |
+
rank: 0
|
| 848 |
+
target_modules: all-linear
|
| 849 |
+
micro_batch_size_per_gpu:
|
| 850 |
+
value: 1
|
| 851 |
+
model_path:
|
| 852 |
+
value: /mnt/general/share/model/meta-llama/Llama-3.2-1B-Instruct
|
| 853 |
+
ppo_mini_batch_size:
|
| 854 |
+
value: 32
|
| 855 |
+
ray_kwargs:
|
| 856 |
+
value:
|
| 857 |
+
ray_init:
|
| 858 |
+
num_cpus: null
|
| 859 |
+
timeline_json_file: null
|
| 860 |
+
reward_model:
|
| 861 |
+
value:
|
| 862 |
+
enable: false
|
| 863 |
+
enable_resource_pool: false
|
| 864 |
+
forward_max_token_len_per_gpu: 32768
|
| 865 |
+
launch_reward_fn_async: false
|
| 866 |
+
max_length: null
|
| 867 |
+
micro_batch_size: null
|
| 868 |
+
micro_batch_size_per_gpu: null
|
| 869 |
+
model:
|
| 870 |
+
external_lib: null
|
| 871 |
+
fsdp_config:
|
| 872 |
+
_target_: verl.workers.config.FSDPEngineConfig
|
| 873 |
+
forward_prefetch: false
|
| 874 |
+
fsdp_size: -1
|
| 875 |
+
param_offload: false
|
| 876 |
+
reshard_after_forward: true
|
| 877 |
+
wrap_policy:
|
| 878 |
+
min_num_params: 0
|
| 879 |
+
input_tokenizer: /mnt/general/share/model/meta-llama/Llama-3.2-1B-Instruct
|
| 880 |
+
path: ~/models/FsfairX-LLaMA3-RM-v0.1
|
| 881 |
+
trust_remote_code: false
|
| 882 |
+
use_fused_kernels: false
|
| 883 |
+
use_remove_padding: false
|
| 884 |
+
use_shm: false
|
| 885 |
+
n_gpus_per_node: 0
|
| 886 |
+
nnodes: 0
|
| 887 |
+
profiler:
|
| 888 |
+
_target_: verl.utils.profiler.ProfilerConfig
|
| 889 |
+
all_ranks: false
|
| 890 |
+
enable: false
|
| 891 |
+
ranks: []
|
| 892 |
+
save_path: outputs/profile
|
| 893 |
+
tool: null
|
| 894 |
+
tool_config:
|
| 895 |
+
npu:
|
| 896 |
+
_target_: verl.utils.profiler.config.NPUToolConfig
|
| 897 |
+
analysis: true
|
| 898 |
+
contents: []
|
| 899 |
+
discrete: false
|
| 900 |
+
level: level1
|
| 901 |
+
nsys:
|
| 902 |
+
_target_: verl.utils.profiler.config.NsightToolConfig
|
| 903 |
+
discrete: false
|
| 904 |
+
torch:
|
| 905 |
+
_target_: verl.utils.profiler.config.TorchProfilerToolConfig
|
| 906 |
+
step_end: null
|
| 907 |
+
step_start: 0
|
| 908 |
+
torch_memory:
|
| 909 |
+
_target_: verl.utils.profiler.config.TorchMemoryToolConfig
|
| 910 |
+
stack_depth: 32
|
| 911 |
+
trace_alloc_max_entries: 100000
|
| 912 |
+
reward_manager: naive
|
| 913 |
+
sandbox_fusion:
|
| 914 |
+
max_concurrent: 64
|
| 915 |
+
memory_limit_mb: 1024
|
| 916 |
+
url: null
|
| 917 |
+
strategy: fsdp
|
| 918 |
+
ulysses_sequence_parallel_size: 1
|
| 919 |
+
use_dynamic_bsz: false
|
| 920 |
+
seed:
|
| 921 |
+
value:
|
| 922 |
+
train: 10000
|
| 923 |
+
val: 123
|
| 924 |
+
system:
|
| 925 |
+
value:
|
| 926 |
+
CUDA_VISIBLE_DEVICES: 0,1,2,3,4,5,6,7
|
| 927 |
+
trainer:
|
| 928 |
+
value:
|
| 929 |
+
balance_batch: true
|
| 930 |
+
critic_warmup: 0
|
| 931 |
+
default_hdfs_dir: null
|
| 932 |
+
default_local_dir: /mnt/general/wanghy/RAGEN/saves/
|
| 933 |
+
del_local_ckpt_after_load: false
|
| 934 |
+
device: cuda
|
| 935 |
+
esi_redundant_time: 0
|
| 936 |
+
experiment_name: rubikscube-2-starpos
|
| 937 |
+
generations_to_log_to_wandb:
|
| 938 |
+
train: 128
|
| 939 |
+
val: 20
|
| 940 |
+
local_log_dir: results/
|
| 941 |
+
log_val_generations: 0
|
| 942 |
+
logger:
|
| 943 |
+
- console
|
| 944 |
+
- wandb
|
| 945 |
+
max_actor_ckpt_to_keep: 1
|
| 946 |
+
max_critic_ckpt_to_keep: 1
|
| 947 |
+
n_gpus_per_node: 8
|
| 948 |
+
nnodes: 1
|
| 949 |
+
project_name: ragen_latest_llama_1B_it
|
| 950 |
+
ray_wait_register_center_timeout: 300
|
| 951 |
+
resume_from_path: null
|
| 952 |
+
resume_mode: auto
|
| 953 |
+
rollout_data_dir: null
|
| 954 |
+
save_freq: -1
|
| 955 |
+
test_freq: 10
|
| 956 |
+
total_epochs: 30
|
| 957 |
+
total_training_steps: 200
|
| 958 |
+
use_legacy_worker_impl: auto
|
| 959 |
+
val_before_train: true
|
| 960 |
+
val_only: false
|
| 961 |
+
validation_data_dir: null
|
| 962 |
+
validation_steps: 1
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_0_66c25ae8e787ec20e123.table.json
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|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_109_ce6eb69d410a77047c3d.table.json
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|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_119_9fbf2737fde5084ca09c.table.json
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|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_129_bd9fef68443a37dbf1fa.table.json
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|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_159_c7d27a9312472611dbe3.table.json
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|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_169_89044280899fc08a73cc.table.json
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|
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|
|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_189_3f4f482cd6a99bb59002.table.json
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|
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|
|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_199_6b6b3a54124f97c86618.table.json
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|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_19_bf3ddfc94254ab0e95aa.table.json
ADDED
|
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|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_39_51fa3255ef36cafdcbc3.table.json
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|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_49_aa5d5f88ce72aaac4280.table.json
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|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_69_f204c41b145f29d12f66.table.json
ADDED
|
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|
|
|
wandb/run-20251223_143956-j99y7wmg/files/media/table/val/generations_79_53bb0962691136d7276f.table.json
ADDED
|
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|
|
|
wandb/run-20251223_143956-j99y7wmg/files/requirements.txt
ADDED
|
@@ -0,0 +1,316 @@
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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 |
+
ragen==0.1
|
| 2 |
+
ragen==0.1
|
| 3 |
+
colorama==0.4.6
|
| 4 |
+
psutil==7.1.2
|
| 5 |
+
ragen==0.1
|
| 6 |
+
setuptools==80.9.0
|
| 7 |
+
wheel==0.45.1
|
| 8 |
+
pip==25.3
|
| 9 |
+
ragen==0.1
|
| 10 |
+
pytz==2025.2
|
| 11 |
+
nvidia-cusparselt-cu12==0.6.2
|
| 12 |
+
mpmath==1.3.0
|
| 13 |
+
typing_extensions==4.15.0
|
| 14 |
+
sympy==1.13.1
|
| 15 |
+
pylatexenc==2.10
|
| 16 |
+
nvidia-cusolver-cu12==11.6.1.9
|
| 17 |
+
numpy==1.26.4
|
| 18 |
+
Markdown==3.10
|
| 19 |
+
absl-py==2.3.1
|
| 20 |
+
pyasn1_modules==0.4.2
|
| 21 |
+
Werkzeug==3.1.3
|
| 22 |
+
networkx==3.3
|
| 23 |
+
MarkupSafe==2.1.5
|
| 24 |
+
fsspec==2025.9.0
|
| 25 |
+
filelock==3.19.1
|
| 26 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 27 |
+
Jinja2==3.1.6
|
| 28 |
+
tensorboard==2.20.0
|
| 29 |
+
triton==3.2.0
|
| 30 |
+
pillow==11.3.0
|
| 31 |
+
xxhash==3.6.0
|
| 32 |
+
nvidia-nvtx-cu12==12.4.127
|
| 33 |
+
nvidia-nvjitlink-cu12==12.4.127
|
| 34 |
+
nvidia-nccl-cu12==2.21.5
|
| 35 |
+
nvidia-curand-cu12==10.3.5.147
|
| 36 |
+
wrapt==2.0.1
|
| 37 |
+
nvidia-cufft-cu12==11.2.1.3
|
| 38 |
+
pyjnius==1.7.0
|
| 39 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
| 40 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 41 |
+
websockets==15.0.1
|
| 42 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
| 43 |
+
zipp==3.23.0
|
| 44 |
+
nvidia-cublas-cu12==12.4.5.8
|
| 45 |
+
nvidia-cusparse-cu12==12.3.1.170
|
| 46 |
+
flash_attn==2.8.3
|
| 47 |
+
rsa==4.9.1
|
| 48 |
+
einops==0.8.1
|
| 49 |
+
py-cpuinfo==9.0.0
|
| 50 |
+
pure_eval==0.2.3
|
| 51 |
+
ptyprocess==0.7.0
|
| 52 |
+
gym-notices==0.1.0
|
| 53 |
+
flatbuffers==25.9.23
|
| 54 |
+
fastrlock==0.8.3
|
| 55 |
+
Farama-Notifications==0.0.4
|
| 56 |
+
faiss-gpu==1.7.2
|
| 57 |
+
antlr4-python3-runtime==4.9.3
|
| 58 |
+
wcwidth==0.2.14
|
| 59 |
+
wasabi==1.1.3
|
| 60 |
+
uvloop==0.22.1
|
| 61 |
+
urllib3==2.5.0
|
| 62 |
+
tzdata==2025.2
|
| 63 |
+
typing-inspection==0.4.2
|
| 64 |
+
traitlets==5.14.3
|
| 65 |
+
tqdm==4.67.1
|
| 66 |
+
tomli==2.3.0
|
| 67 |
+
threadpoolctl==3.6.0
|
| 68 |
+
tenacity==9.1.2
|
| 69 |
+
tabulate==0.9.0
|
| 70 |
+
spacy-loggers==1.0.5
|
| 71 |
+
spacy-legacy==3.0.12
|
| 72 |
+
soupsieve==2.8
|
| 73 |
+
sniffio==1.3.1
|
| 74 |
+
smmap==5.0.2
|
| 75 |
+
six==1.17.0
|
| 76 |
+
shellingham==1.5.4
|
| 77 |
+
sentencepiece==0.2.1
|
| 78 |
+
scipy==1.15.3
|
| 79 |
+
safetensors==0.6.2
|
| 80 |
+
rpds-py==0.29.0
|
| 81 |
+
rignore==0.7.6
|
| 82 |
+
regex==2025.11.3
|
| 83 |
+
RapidFuzz==3.14.3
|
| 84 |
+
rank-bm25==0.2.2
|
| 85 |
+
pyzmq==27.1.0
|
| 86 |
+
PyYAML==6.0.3
|
| 87 |
+
pytokens==0.3.0
|
| 88 |
+
python-multipart==0.0.20
|
| 89 |
+
python-json-logger==4.0.0
|
| 90 |
+
python-dotenv==1.2.1
|
| 91 |
+
PySocks==1.7.1
|
| 92 |
+
pyparsing==3.2.5
|
| 93 |
+
PyJWT==2.10.1
|
| 94 |
+
Pygments==2.19.2
|
| 95 |
+
pygame==2.6.1
|
| 96 |
+
pydantic_core==2.41.5
|
| 97 |
+
pycparser==2.23
|
| 98 |
+
pycountry==24.6.1
|
| 99 |
+
pybind11==3.0.1
|
| 100 |
+
pyarrow==22.0.0
|
| 101 |
+
psutil==7.1.3
|
| 102 |
+
protobuf==4.25.8
|
| 103 |
+
propcache==0.4.1
|
| 104 |
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prometheus_client==0.23.1
|
| 105 |
+
platformdirs==4.5.0
|
| 106 |
+
pexpect==4.9.0
|
| 107 |
+
pathspec==0.12.1
|
| 108 |
+
partial-json-parser==0.2.1.1.post6
|
| 109 |
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parso==0.8.5
|
| 110 |
+
packaging==25.0
|
| 111 |
+
orjson==3.11.4
|
| 112 |
+
opentelemetry-semantic-conventions-ai==0.4.13
|
| 113 |
+
opencv-python-headless==4.12.0.88
|
| 114 |
+
ninja==1.13.0
|
| 115 |
+
nest-asyncio==1.6.0
|
| 116 |
+
mypy_extensions==1.1.0
|
| 117 |
+
murmurhash==1.0.15
|
| 118 |
+
multidict==6.7.0
|
| 119 |
+
msgspec==0.19.0
|
| 120 |
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msgpack==1.1.2
|
| 121 |
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mdurl==0.1.2
|
| 122 |
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loguru==0.7.3
|
| 123 |
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llvmlite==0.44.0
|
| 124 |
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llguidance==0.7.30
|
| 125 |
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lark==1.2.2
|
| 126 |
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kiwisolver==1.4.9
|
| 127 |
+
joblib==1.5.2
|
| 128 |
+
jiter==0.12.0
|
| 129 |
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itsdangerous==2.2.0
|
| 130 |
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interegular==0.3.3
|
| 131 |
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ImageIO==2.37.2
|
| 132 |
+
idna==3.11
|
| 133 |
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humanfriendly==10.0
|
| 134 |
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httpx-sse==0.4.3
|
| 135 |
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httptools==0.7.1
|
| 136 |
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html2text==2025.4.15
|
| 137 |
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hf-xet==1.2.0
|
| 138 |
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h11==0.16.0
|
| 139 |
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grpcio==1.76.0
|
| 140 |
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frozenlist==1.8.0
|
| 141 |
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fonttools==4.60.1
|
| 142 |
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executing==2.2.1
|
| 143 |
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exceptiongroup==1.3.0
|
| 144 |
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eval_type_backport==0.2.2
|
| 145 |
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docstring_parser==0.17.0
|
| 146 |
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dnspython==2.8.0
|
| 147 |
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distro==1.9.0
|
| 148 |
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diskcache==5.6.3
|
| 149 |
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dill==0.4.0
|
| 150 |
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decorator==5.2.1
|
| 151 |
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debugpy==1.8.17
|
| 152 |
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Cython==3.2.1
|
| 153 |
+
cymem==2.0.13
|
| 154 |
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cycler==0.12.1
|
| 155 |
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cupy-cuda12x==13.6.0
|
| 156 |
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contourpy==1.3.2
|
| 157 |
+
colorama==0.4.6
|
| 158 |
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codetiming==1.4.0
|
| 159 |
+
cloudpickle==3.1.2
|
| 160 |
+
cloudpathlib==0.23.0
|
| 161 |
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click==8.3.1
|
| 162 |
+
charset-normalizer==3.4.4
|
| 163 |
+
certifi==2025.11.12
|
| 164 |
+
catalogue==2.0.10
|
| 165 |
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cachetools==6.2.2
|
| 166 |
+
blis==1.3.2
|
| 167 |
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blinker==1.9.0
|
| 168 |
+
blake3==1.0.8
|
| 169 |
+
attrs==25.4.0
|
| 170 |
+
async-timeout==5.0.1
|
| 171 |
+
asttokens==3.0.1
|
| 172 |
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astor==0.8.1
|
| 173 |
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annotated-types==0.7.0
|
| 174 |
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annotated-doc==0.0.4
|
| 175 |
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airportsdata==20250909
|
| 176 |
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aiohappyeyeballs==2.6.1
|
| 177 |
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yarl==1.22.0
|
| 178 |
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uvicorn==0.38.0
|
| 179 |
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typer-slim==0.20.0
|
| 180 |
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thefuzz==0.22.1
|
| 181 |
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stack-data==0.6.3
|
| 182 |
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srsly==2.5.1
|
| 183 |
+
smart_open==7.5.0
|
| 184 |
+
sentry-sdk==2.44.0
|
| 185 |
+
scikit-learn==1.7.2
|
| 186 |
+
requests==2.32.5
|
| 187 |
+
referencing==0.37.0
|
| 188 |
+
python-dateutil==2.9.0.post0
|
| 189 |
+
pydantic==2.12.4
|
| 190 |
+
prompt_toolkit==3.0.52
|
| 191 |
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preshed==3.0.11
|
| 192 |
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opentelemetry-proto==1.26.0
|
| 193 |
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omegaconf==2.3.0
|
| 194 |
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numba==0.61.2
|
| 195 |
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nltk==3.9.2
|
| 196 |
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multiprocess==0.70.18
|
| 197 |
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matplotlib-inline==0.2.1
|
| 198 |
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markdown-it-py==4.0.0
|
| 199 |
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jedi==0.19.2
|
| 200 |
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importlib_metadata==8.0.0
|
| 201 |
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httpcore==1.0.9
|
| 202 |
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gymnasium==1.2.2
|
| 203 |
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gym==0.26.2
|
| 204 |
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googleapis-common-protos==1.72.0
|
| 205 |
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gitdb==4.0.12
|
| 206 |
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gguf==0.17.1
|
| 207 |
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Flask==3.1.2
|
| 208 |
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faiss-cpu==1.13.0
|
| 209 |
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email-validator==2.3.0
|
| 210 |
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depyf==0.18.0
|
| 211 |
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Deprecated==1.3.1
|
| 212 |
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coloredlogs==15.0.1
|
| 213 |
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cffi==2.0.0
|
| 214 |
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black==25.11.0
|
| 215 |
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beautifulsoup4==4.14.2
|
| 216 |
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anyio==4.11.0
|
| 217 |
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aiosignal==1.4.0
|
| 218 |
+
watchfiles==1.1.1
|
| 219 |
+
tiktoken==0.12.0
|
| 220 |
+
starlette==0.49.3
|
| 221 |
+
sse-starlette==3.0.3
|
| 222 |
+
rich==14.2.0
|
| 223 |
+
pydantic-settings==2.12.0
|
| 224 |
+
pydantic-extra-types==2.10.6
|
| 225 |
+
pandas==2.3.3
|
| 226 |
+
opentelemetry-exporter-otlp-proto-common==1.26.0
|
| 227 |
+
onnxruntime==1.23.2
|
| 228 |
+
matplotlib==3.10.7
|
| 229 |
+
lm-format-enforcer==0.10.12
|
| 230 |
+
jsonschema-specifications==2025.9.1
|
| 231 |
+
ipython==8.37.0
|
| 232 |
+
hydra-core==1.3.2
|
| 233 |
+
huggingface-hub==0.36.0
|
| 234 |
+
httpx==0.28.1
|
| 235 |
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gym-sokoban==0.0.6
|
| 236 |
+
GitPython==3.1.45
|
| 237 |
+
cryptography==46.0.3
|
| 238 |
+
confection==0.1.5
|
| 239 |
+
cleantext==1.1.4
|
| 240 |
+
aiohttp==3.13.2
|
| 241 |
+
weasel==0.4.3
|
| 242 |
+
wandb==0.23.0
|
| 243 |
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typer==0.19.2
|
| 244 |
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virtualenv==20.35.4
|
| 245 |
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pyasn1==0.6.1
|
| 246 |
+
torch==2.6.0
|
| 247 |
+
tokenizers==0.22.1
|
| 248 |
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thinc==8.3.9
|
| 249 |
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rich-toolkit==0.15.1
|
| 250 |
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prometheus-fastapi-instrumentator==7.1.0
|
| 251 |
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openai==2.8.0
|
| 252 |
+
jsonschema==4.25.1
|
| 253 |
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gdown==5.2.0
|
| 254 |
+
fastapi==0.121.2
|
| 255 |
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anthropic==0.73.0
|
| 256 |
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xformers==0.0.29.post2
|
| 257 |
+
transformers==4.57.1
|
| 258 |
+
proto-plus==1.26.1
|
| 259 |
+
torchvision==0.21.0
|
| 260 |
+
torchdata==0.11.0
|
| 261 |
+
torchaudio==2.6.0
|
| 262 |
+
together==1.5.30
|
| 263 |
+
tensordict==0.8.3
|
| 264 |
+
spacy==3.8.9
|
| 265 |
+
ray==2.51.1
|
| 266 |
+
outlines_core==0.1.26
|
| 267 |
+
mistral_common==1.8.5
|
| 268 |
+
mcp==1.21.1
|
| 269 |
+
fastapi-cloud-cli==0.3.1
|
| 270 |
+
fastapi-cli==0.0.16
|
| 271 |
+
datasets==4.4.1
|
| 272 |
+
accelerate==1.11.0
|
| 273 |
+
xgrammar==0.1.18
|
| 274 |
+
pyserini==1.2.0
|
| 275 |
+
peft==0.18.0
|
| 276 |
+
outlines==0.1.11
|
| 277 |
+
opentelemetry-exporter-otlp-proto-http==1.26.0
|
| 278 |
+
opentelemetry-exporter-otlp-proto-grpc==1.26.0
|
| 279 |
+
kimina-client==0.2.1
|
| 280 |
+
compressed-tensors==0.9.3
|
| 281 |
+
opentelemetry-exporter-otlp==1.26.0
|
| 282 |
+
vllm==0.8.5
|
| 283 |
+
py-spy==0.4.1
|
| 284 |
+
opencensus-context==0.1.3
|
| 285 |
+
distlib==0.4.0
|
| 286 |
+
colorful==0.5.8
|
| 287 |
+
tensorboard-data-server==0.7.2
|
| 288 |
+
google-auth==2.43.0
|
| 289 |
+
google-api-core==2.28.1
|
| 290 |
+
aiohttp-cors==0.8.1
|
| 291 |
+
opentelemetry-exporter-prometheus==0.59b0
|
| 292 |
+
opencensus==0.11.4
|
| 293 |
+
verl==0.5.0.dev0
|
| 294 |
+
opentelemetry-api==1.38.0
|
| 295 |
+
opentelemetry-semantic-conventions==0.59b0
|
| 296 |
+
opentelemetry-sdk==1.38.0
|
| 297 |
+
typeguard==4.4.4
|
| 298 |
+
shtab==1.8.0
|
| 299 |
+
tyro==0.9.35
|
| 300 |
+
verl==0.5.0.dev0
|
| 301 |
+
autocommand==2.2.2
|
| 302 |
+
backports.tarfile==1.2.0
|
| 303 |
+
importlib_metadata==8.0.0
|
| 304 |
+
inflect==7.3.1
|
| 305 |
+
jaraco.collections==5.1.0
|
| 306 |
+
jaraco.context==5.3.0
|
| 307 |
+
jaraco.functools==4.0.1
|
| 308 |
+
jaraco.text==3.12.1
|
| 309 |
+
more-itertools==10.3.0
|
| 310 |
+
packaging==24.2
|
| 311 |
+
platformdirs==4.2.2
|
| 312 |
+
tomli==2.0.1
|
| 313 |
+
typeguard==4.3.0
|
| 314 |
+
typing_extensions==4.12.2
|
| 315 |
+
wheel==0.45.1
|
| 316 |
+
zipp==3.19.2
|
wandb/run-20251223_143956-j99y7wmg/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.19",
|
| 4 |
+
"startedAt": "2025-12-23T06:39:56.847118Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--node-ip-address=10.119.27.78",
|
| 7 |
+
"--node-manager-port=39781",
|
| 8 |
+
"--object-store-name=/tmp/ray/session_2025-12-23_14-38-25_311441_232140/sockets/plasma_store",
|
| 9 |
+
"--raylet-name=/tmp/ray/session_2025-12-23_14-38-25_311441_232140/sockets/raylet",
|
| 10 |
+
"--redis-address=None",
|
| 11 |
+
"--metrics-agent-port=59070",
|
| 12 |
+
"--logging-rotate-bytes=536870912",
|
| 13 |
+
"--logging-rotate-backup-count=5",
|
| 14 |
+
"--runtime-env-agent-port=49205",
|
| 15 |
+
"--gcs-address=10.119.27.78:55860",
|
| 16 |
+
"--session-name=session_2025-12-23_14-38-25_311441_232140",
|
| 17 |
+
"--temp-dir=/tmp/ray",
|
| 18 |
+
"--webui=127.0.0.1:8266",
|
| 19 |
+
"--cluster-id=2a8894614d53b90cc1b296d7e8a8366147e300ed49845ecaf21eb66e",
|
| 20 |
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"--startup-token=112",
|
| 21 |
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"--worker-launch-time-ms=1766471916513",
|
| 22 |
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"--node-id=5d4521550952e8f46b81e4dee690150b30e50107d219479c295da656",
|
| 23 |
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"--runtime-env-hash=-839022692"
|
| 24 |
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],
|
| 25 |
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"program": "/root/local/miniconda3/envs/ragen/lib/python3.10/site-packages/ray/_private/workers/default_worker.py",
|
| 26 |
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"git": {
|
| 27 |
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"remote": "https://github.com/mll-lab-nu/RAGEN.git",
|
| 28 |
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"commit": "8d73639b99b38265453f898b8d6af7d4af50d56e"
|
| 29 |
+
},
|
| 30 |
+
"email": "haoyu-wa22@mails.tsinghua.edu.cn",
|
| 31 |
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"root": "/mnt/general/wanghy/RAGEN",
|
| 32 |
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"host": "pt-4d654cf4576f4d23ad3d3919f12932fe-worker-0",
|
| 33 |
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"executable": "/root/local/miniconda3/envs/ragen/bin/python",
|
| 34 |
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"cpu_count": 64,
|
| 35 |
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"cpu_count_logical": 128,
|
| 36 |
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"gpu": "NVIDIA H100 80GB HBM3",
|
| 37 |
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"gpu_count": 8,
|
| 38 |
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"disk": {
|
| 39 |
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"/": {
|
| 40 |
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"total": "5153960755200",
|
| 41 |
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"used": "473100161024"
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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"memory": {
|
| 45 |
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"total": "2163642122240"
|
| 46 |
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},
|
| 47 |
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"gpu_nvidia": [
|
| 48 |
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{
|
| 49 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 50 |
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"memoryTotal": "85520809984",
|
| 51 |
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"cudaCores": 16896,
|
| 52 |
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"architecture": "Hopper",
|
| 53 |
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"uuid": "GPU-35e2d43d-4067-82ce-90d4-def9e389bf28"
|
| 54 |
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},
|
| 55 |
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{
|
| 56 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 57 |
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"memoryTotal": "85520809984",
|
| 58 |
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"cudaCores": 16896,
|
| 59 |
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"architecture": "Hopper",
|
| 60 |
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"uuid": "GPU-af4135e3-88f2-e9ac-518d-502c75a85429"
|
| 61 |
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},
|
| 62 |
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{
|
| 63 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 64 |
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"memoryTotal": "85520809984",
|
| 65 |
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"cudaCores": 16896,
|
| 66 |
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"architecture": "Hopper",
|
| 67 |
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"uuid": "GPU-d7fdeeba-fe9b-ec03-d9f7-6724fe4266b5"
|
| 68 |
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},
|
| 69 |
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{
|
| 70 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 71 |
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"memoryTotal": "85520809984",
|
| 72 |
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"cudaCores": 16896,
|
| 73 |
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"architecture": "Hopper",
|
| 74 |
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"uuid": "GPU-ccc4f668-3882-5a8e-2c07-c5cd08f6f666"
|
| 75 |
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},
|
| 76 |
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{
|
| 77 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 78 |
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"memoryTotal": "85520809984",
|
| 79 |
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"cudaCores": 16896,
|
| 80 |
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"architecture": "Hopper",
|
| 81 |
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"uuid": "GPU-7b73c0cf-d3d5-e10c-7176-a43be1e41001"
|
| 82 |
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},
|
| 83 |
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{
|
| 84 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 85 |
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"memoryTotal": "85520809984",
|
| 86 |
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"cudaCores": 16896,
|
| 87 |
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"architecture": "Hopper",
|
| 88 |
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"uuid": "GPU-81b58d94-5d1f-8ec2-f9d2-fd56172ed177"
|
| 89 |
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},
|
| 90 |
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{
|
| 91 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 92 |
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"memoryTotal": "85520809984",
|
| 93 |
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"cudaCores": 16896,
|
| 94 |
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"architecture": "Hopper",
|
| 95 |
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"uuid": "GPU-03e8bc66-3b44-6794-49fd-5392fbdda6d1"
|
| 96 |
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},
|
| 97 |
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{
|
| 98 |
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"name": "NVIDIA H100 80GB HBM3",
|
| 99 |
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"memoryTotal": "85520809984",
|
| 100 |
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"cudaCores": 16896,
|
| 101 |
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"architecture": "Hopper",
|
| 102 |
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"uuid": "GPU-b7cf0ec6-7c29-1179-dceb-09565da51890"
|
| 103 |
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}
|
| 104 |
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],
|
| 105 |
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"cudaVersion": "12.4",
|
| 106 |
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"writerId": "r6rqd8hdo8tj42561p2zpmmja16i10o0"
|
| 107 |
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}
|
wandb/run-20251223_143956-j99y7wmg/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
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