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ckpt/global_step370_hf/added_tokens.json

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ckpt/global_step370_hf/chat_template.json

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+{
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+}

ckpt/global_step370_hf/config.json

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ckpt/global_step370_hf/generation_config.json

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+  "transformers_version": "4.51.0.dev0"
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ckpt/global_step370_hf/preprocessor_config.json

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ckpt/global_step370_hf/special_tokens_map.json

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ckpt/global_step370_hf/tokenizer.json

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+size 11421896

ckpt/global_step370_hf/tokenizer_config.json

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logs/20250526_182357/process_pids.txt

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+Remote RM PID: 126386
+Train PID: 126387

logs/20250526_185638/process_pids.txt

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+Remote RM PID: 435069
+Train PID: 435070

logs/20250526_191827/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 74501
+Train PID: 74502

logs/20250526_193312/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 279066
+Train PID: 279067

logs/20250526_193312/remote_rm_qa.log

@@ -0,0 +1,9 @@
+[2025-05-26 19:33:56,196] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+load dataset success
+ * Serving Flask app 'math_verifier_wolatex'
+ * Debug mode: off
+WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:2394
+ * Running on http://10.140.0.144:2394
+Press CTRL+C to quit

logs/20250526_193312/train.log

@@ -0,0 +1,2 @@
+2025-05-26 19:33:39,938	INFO dashboard_sdk.py:338 -- Uploading package gcs://_ray_pkg_321e0871e56ca1df.zip.
+2025-05-26 19:33:39,938	INFO packaging.py:575 -- Creating a file package for local module '/mnt/petrelfs/luyiting/MultiAgentEval/lmm-r1'.

logs/20250526_193656/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 29110
+Train PID: 29111

logs/20250526_193656/remote_rm_qa.log

@@ -0,0 +1,9 @@
+[2025-05-26 19:37:40,391] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+load dataset success
+ * Serving Flask app 'math_verifier_wolatex'
+ * Debug mode: off
+WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:2394
+ * Running on http://10.140.0.167:2394
+Press CTRL+C to quit

logs/20250526_193656/train.log

@@ -0,0 +1,77 @@
+2025-05-26 19:37:24,046	INFO dashboard_sdk.py:338 -- Uploading package gcs://_ray_pkg_321e0871e56ca1df.zip.
+2025-05-26 19:37:24,047	INFO packaging.py:575 -- Creating a file package for local module '/mnt/petrelfs/luyiting/MultiAgentEval/lmm-r1'.
+2025-05-26 19:37:22,460	INFO cli.py:39 -- Job submission server address: http://127.0.0.1:2983
+2025-05-26 19:37:32,118	SUCC cli.py:63 -- -------------------------------------------------------
+2025-05-26 19:37:32,118	SUCC cli.py:64 -- Job 'raysubmit_endd6V8YzvkhTPfY' submitted successfully
+2025-05-26 19:37:32,118	SUCC cli.py:65 -- -------------------------------------------------------
+2025-05-26 19:37:32,118	INFO cli.py:289 -- Next steps
+2025-05-26 19:37:32,118	INFO cli.py:290 -- Query the logs of the job:
+2025-05-26 19:37:32,118	INFO cli.py:292 -- ray job logs raysubmit_endd6V8YzvkhTPfY
+2025-05-26 19:37:32,118	INFO cli.py:294 -- Query the status of the job:
+2025-05-26 19:37:32,118	INFO cli.py:296 -- ray job status raysubmit_endd6V8YzvkhTPfY
+2025-05-26 19:37:32,118	INFO cli.py:298 -- Request the job to be stopped:
+2025-05-26 19:37:32,119	INFO cli.py:300 -- ray job stop raysubmit_endd6V8YzvkhTPfY
+2025-05-26 19:37:32,121	INFO cli.py:307 -- Tailing logs until the job exits (disable with --no-wait):
+2025-05-26 19:37:31,103	INFO job_manager.py:531 -- Runtime env is setting up.
+[2025-05-26 19:38:02,682] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+INFO 05-26 19:38:09 [__init__.py:239] Automatically detected platform cuda.
+2025-05-26 19:38:11,252	INFO worker.py:1520 -- Using address 10.140.0.167:6231 set in the environment variable RAY_ADDRESS
+2025-05-26 19:38:11,253	INFO worker.py:1660 -- Connecting to existing Ray cluster at address: 10.140.0.167:6231...
+2025-05-26 19:38:11,274	INFO worker.py:1843 -- Connected to Ray cluster. View the dashboard at 10.140.0.167:2983 
+(pid=42922) INFO 05-26 19:38:44 [__init__.py:239] Automatically detected platform cuda.
+(LLMRayActor pid=42923) INFO 05-26 19:39:22 [config.py:585] This model supports multiple tasks: {'score', 'reward', 'generate', 'embed', 'classify'}. Defaulting to 'generate'.
+(LLMRayActor pid=42923) WARNING 05-26 19:39:22 [arg_utils.py:1846] VLLM_ATTENTION_BACKEND=triton is not supported by the V1 Engine. Falling back to V0. We recommend to remove VLLM_ATTENTION_BACKEND=triton from your config in favor of the V1 Engine.
+(LLMRayActor pid=42923) WARNING 05-26 19:39:22 [arg_utils.py:1745] --enable-prefix-caching is not supported for multimodal models in V0 and has been disabled.
+(LLMRayActor pid=42923) INFO 05-26 19:39:22 [llm_engine.py:241] Initializing a V0 LLM engine (v0.8.2.dev76+gf68cce8) with config: model='/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/', speculative_config=None, tokenizer='/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=8192, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=43, served_model_name=/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":[],"compile_sizes":[],"cudagraph_capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=False, 
+(pid=42927) INFO 05-26 19:38:44 [__init__.py:239] Automatically detected platform cuda. [repeated 7x across cluster] (Ray deduplicates logs by default. Set RAY_DEDUP_LOGS=0 to disable log deduplication, or see https://docs.ray.io/en/master/ray-observability/user-guides/configure-logging.html#log-deduplication for more options.)
+(LLMRayActor pid=42928) INFO 05-26 19:39:22 [config.py:585] This model supports multiple tasks: {'generate', 'reward', 'embed', 'classify', 'score'}. Defaulting to 'generate'.
+(LLMRayActor pid=42921) INFO 05-26 19:39:22 [config.py:585] This model supports multiple tasks: {'reward', 'embed', 'generate', 'classify', 'score'}. Defaulting to 'generate'.
+(LLMRayActor pid=42927) INFO 05-26 19:39:22 [config.py:585] This model supports multiple tasks: {'classify', 'embed', 'score', 'reward', 'generate'}. Defaulting to 'generate'.
+(LLMRayActor pid=42924) INFO 05-26 19:39:23 [config.py:585] This model supports multiple tasks: {'score', 'embed', 'generate', 'reward', 'classify'}. Defaulting to 'generate'.
+(LLMRayActor pid=42922) INFO 05-26 19:39:23 [config.py:585] This model supports multiple tasks: {'generate', 'score', 'embed', 'reward', 'classify'}. Defaulting to 'generate'.
+(LLMRayActor pid=42925) INFO 05-26 19:39:23 [config.py:585] This model supports multiple tasks: {'score', 'generate', 'reward', 'classify', 'embed'}. Defaulting to 'generate'.
+(LLMRayActor pid=42926) INFO 05-26 19:39:23 [config.py:585] This model supports multiple tasks: {'reward', 'score', 'classify', 'generate', 'embed'}. Defaulting to 'generate'.
+(LLMRayActor pid=42923) [2025-05-26 19:39:26,028] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+(LLMRayActor pid=42923) INFO 05-26 19:39:33 [cuda.py:293] Using Flash Attention backend.
+(LLMRayActor pid=42925) WARNING 05-26 19:39:23 [arg_utils.py:1846] VLLM_ATTENTION_BACKEND=triton is not supported by the V1 Engine. Falling back to V0. We recommend to remove VLLM_ATTENTION_BACKEND=triton from your config in favor of the V1 Engine. [repeated 7x across cluster]
+(LLMRayActor pid=42925) WARNING 05-26 19:39:23 [arg_utils.py:1745] --enable-prefix-caching is not supported for multimodal models in V0 and has been disabled. [repeated 7x across cluster]
+(LLMRayActor pid=42925) INFO 05-26 19:39:23 [llm_engine.py:241] Initializing a V0 LLM engine (v0.8.2.dev76+gf68cce8) with config: model='/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/', speculative_config=None, tokenizer='/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=8192, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='xgrammar', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=44, served_model_name=/mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=False, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":[],"compile_sizes":[],"cudagraph_capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=False,  [repeated 7x across cluster]
+(LLMRayActor pid=42926) [2025-05-26 19:39:26,784] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect) [repeated 7x across cluster]
+(LLMRayActor pid=42923) INFO 05-26 19:39:36 [parallel_state.py:967] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
+(LLMRayActor pid=42924) INFO 05-26 19:39:36 [model_runner.py:1110] Starting to load model /mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/...
+(LLMRayActor pid=42922) INFO 05-26 19:39:37 [config.py:3229] cudagraph sizes specified by model runner [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256] is overridden by config [256, 128, 2, 1, 4, 136, 8, 144, 16, 152, 24, 160, 32, 168, 40, 176, 48, 184, 56, 192, 64, 200, 72, 208, 80, 216, 88, 120, 224, 96, 232, 104, 240, 112, 248]
+(LLMRayActor pid=42924) 
+Loading safetensors checkpoint shards:   0% Completed | 0/5 [00:00<?, ?it/s]
+(LLMRayActor pid=42924) 
+Loading safetensors checkpoint shards:  20% Completed | 1/5 [00:00<00:03,  1.07it/s]
+(LLMRayActor pid=42927) 
+Loading safetensors checkpoint shards:   0% Completed | 0/5 [00:00<?, ?it/s] [repeated 7x across cluster]
+(LLMRayActor pid=42924) 
+Loading safetensors checkpoint shards:  60% Completed | 3/5 [00:08<00:06,  3.28s/it] [repeated 16x across cluster]
+(LLMRayActor pid=42924) INFO 05-26 19:39:54 [loader.py:429] Loading weights took 16.67 seconds
+(LLMRayActor pid=42926) INFO 05-26 19:39:33 [cuda.py:293] Using Flash Attention backend. [repeated 7x across cluster]
+(LLMRayActor pid=42926) INFO 05-26 19:39:37 [parallel_state.py:967] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0 [repeated 7x across cluster]
+(LLMRayActor pid=42926) INFO 05-26 19:39:37 [model_runner.py:1110] Starting to load model /mnt/petrelfs/luyiting/ckt/Qwen2.5-VL-7B-Instruct/Qwen2.5-VL-7B-Instruct/... [repeated 7x across cluster]
+(LLMRayActor pid=42926) INFO 05-26 19:39:37 [config.py:3229] cudagraph sizes specified by model runner [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256] is overridden by config [256, 128, 2, 1, 4, 136, 8, 144, 16, 152, 24, 160, 32, 168, 40, 176, 48, 184, 56, 192, 64, 200, 72, 208, 80, 216, 88, 120, 224, 96, 232, 104, 240, 112, 248] [repeated 7x across cluster]
+(LLMRayActor pid=42924) 
+(LLMRayActor pid=42924) 
+Loading safetensors checkpoint shards: 100% Completed | 5/5 [00:16<00:00,  3.30s/it] [repeated 17x across cluster]
+(LLMRayActor pid=42925) 
+(LLMRayActor pid=42922) 
+(LLMRayActor pid=42923) 
+(LLMRayActor pid=42926) 
+(LLMRayActor pid=42921) 
+(LLMRayActor pid=42928) 
+(LLMRayActor pid=42927) 
+(LLMRayActor pid=42924) INFO 05-26 19:39:54 [model_runner.py:1146] Model loading took 15.6271 GB and 17.157056 seconds
+(LLMRayActor pid=42924) WARNING 05-26 19:39:55 [model_runner.py:1296] Computed max_num_seqs (min(256, 8192 // 32768)) to be less than 1. Setting it to the minimum value of 1.
+(LLMRayActor pid=42924) Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
+(LLMRayActor pid=42927) WARNING 05-26 19:40:00 [profiling.py:222] The sequence length used for profiling (max_num_batched_tokens / max_num_seqs = 8192) is too short to hold the multi-modal embeddings in the worst case (32768 tokens in total, out of which {'image': 16384, 'video': 16384} are reserved for multi-modal embeddings). This may cause certain multi-modal inputs to fail during inference, even when the input text is short. To avoid this, you should increase `max_model_len`, reduce `max_num_seqs`, and/or reduce `mm_counts`.
+(LLMRayActor pid=42927) INFO 05-26 19:39:54 [loader.py:429] Loading weights took 16.66 seconds [repeated 7x across cluster]
+(LLMRayActor pid=42928) INFO 05-26 19:39:54 [model_runner.py:1146] Model loading took 15.6271 GB and 17.248244 seconds [repeated 7x across cluster]
+(LLMRayActor pid=42928) WARNING 05-26 19:39:55 [model_runner.py:1296] Computed max_num_seqs (min(256, 8192 // 32768)) to be less than 1. Setting it to the minimum value of 1. [repeated 7x across cluster]
+(LLMRayActor pid=42924) INFO 05-26 19:40:02 [worker.py:267] Memory profiling takes 7.96 seconds
+(LLMRayActor pid=42924) INFO 05-26 19:40:02 [worker.py:267] the current vLLM instance can use total_gpu_memory (79.32GiB) x gpu_memory_utilization (0.50) = 39.66GiB
+(LLMRayActor pid=42924) INFO 05-26 19:40:02 [worker.py:267] model weights take 15.63GiB; non_torch_memory takes 0.21GiB; PyTorch activation peak memory takes 1.09GiB; the rest of the memory reserved for KV Cache is 22.73GiB.
+(LLMRayActor pid=42924) INFO 05-26 19:40:02 [executor_base.py:111] # cuda blocks: 26598, # CPU blocks: 4681
+(LLMRayActor pid=42924) INFO 05-26 19:40:02 [executor_base.py:116] Maximum concurrency for 8192 tokens per request: 51.95x

logs/20250526_194456/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 11287
+Train PID: 11288

logs/20250526_194456/train.log

@@ -0,0 +1,92 @@
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connection.py", line 198, in _new_conn
+    sock = connection.create_connection(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/util/connection.py", line 85, in create_connection
+    raise err
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/util/connection.py", line 73, in create_connection
+    sock.connect(sa)
+ConnectionRefusedError: [Errno 111] Connection refused
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connectionpool.py", line 787, in urlopen
+    response = self._make_request(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connectionpool.py", line 493, in _make_request
+    conn.request(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connection.py", line 445, in request
+    self.endheaders()
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/http/client.py", line 1278, in endheaders
+    self._send_output(message_body, encode_chunked=encode_chunked)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/http/client.py", line 1038, in _send_output
+    self.send(msg)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/http/client.py", line 976, in send
+    self.connect()
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connection.py", line 276, in connect
+    self.sock = self._new_conn()
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connection.py", line 213, in _new_conn
+    raise NewConnectionError(
+urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7fabc4ee1cf0>: Failed to establish a new connection: [Errno 111] Connection refused
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
+    resp = conn.urlopen(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/connectionpool.py", line 841, in urlopen
+    retries = retries.increment(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/urllib3/util/retry.py", line 519, in increment
+    raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]
+urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=2983): Max retries exceeded with url: /api/version (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fabc4ee1cf0>: Failed to establish a new connection: [Errno 111] Connection refused'))
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/dashboard_sdk.py", line 262, in _check_connection_and_version_with_url
+    r = self._do_request("GET", url)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/dashboard_sdk.py", line 303, in _do_request
+    return requests.request(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/requests/api.py", line 59, in request
+    return session.request(method=method, url=url, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
+    resp = self.send(prep, **send_kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
+    r = adapter.send(request, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/requests/adapters.py", line 700, in send
+    raise ConnectionError(e, request=request)
+requests.exceptions.ConnectionError: HTTPConnectionPool(host='127.0.0.1', port=2983): Max retries exceeded with url: /api/version (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fabc4ee1cf0>: Failed to establish a new connection: [Errno 111] Connection refused'))
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/bin/ray", line 8, in <module>
+    sys.exit(main())
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/scripts/scripts.py", line 2690, in main
+    return cli()
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1161, in __call__
+    return self.main(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1082, in main
+    rv = self.invoke(ctx)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1697, in invoke
+    return _process_result(sub_ctx.command.invoke(sub_ctx))
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1697, in invoke
+    return _process_result(sub_ctx.command.invoke(sub_ctx))
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1443, in invoke
+    return ctx.invoke(self.callback, **ctx.params)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 788, in invoke
+    return __callback(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/cli_utils.py", line 54, in wrapper
+    return func(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/autoscaler/_private/cli_logger.py", line 823, in wrapper
+    return f(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/cli.py", line 267, in submit
+    client = _get_sdk_client(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/cli.py", line 32, in _get_sdk_client
+    client = JobSubmissionClient(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/sdk.py", line 105, in __init__
+    self._check_connection_and_version(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/dashboard_sdk.py", line 248, in _check_connection_and_version
+    self._check_connection_and_version_with_url(min_version, version_error_message)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/dashboard_sdk.py", line 278, in _check_connection_and_version_with_url
+    raise ConnectionError(
+ConnectionError: Failed to connect to Ray at address: http://127.0.0.1:2983.

logs/20250527_011343/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 4686
+Train PID: 4687

logs/20250527_011343/remote_rm_qa.log

@@ -0,0 +1,9 @@
+[2025-05-27 01:14:20,482] [INFO] [real_accelerator.py:222:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+load dataset success
+ * Serving Flask app 'math_verifier_wolatex'
+ * Debug mode: off
+WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
+ * Running on all addresses (0.0.0.0)
+ * Running on http://127.0.0.1:2394
+ * Running on http://10.140.0.151:2394
+Press CTRL+C to quit

logs/20250527_011343/train.log

@@ -0,0 +1,45 @@
+2025-05-27 01:14:05,551	INFO dashboard_sdk.py:338 -- Uploading package gcs://_ray_pkg_ebceb3f924b2a11c.zip.
+2025-05-27 01:14:05,551	INFO packaging.py:575 -- Creating a file package for local module '/mnt/petrelfs/luyiting/MultiAgentEval/lmm-r1'.
+2025-05-27 01:14:04,421	INFO cli.py:39 -- Job submission server address: http://127.0.0.1:2983
+Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/bin/ray", line 8, in <module>
+    sys.exit(main())
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/scripts/scripts.py", line 2690, in main
+    return cli()
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1161, in __call__
+    return self.main(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1082, in main
+    rv = self.invoke(ctx)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1697, in invoke
+    return _process_result(sub_ctx.command.invoke(sub_ctx))
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1697, in invoke
+    return _process_result(sub_ctx.command.invoke(sub_ctx))
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 1443, in invoke
+    return ctx.invoke(self.callback, **ctx.params)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/click/core.py", line 788, in invoke
+    return __callback(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/cli_utils.py", line 54, in wrapper
+    return func(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/autoscaler/_private/cli_logger.py", line 823, in wrapper
+    return f(*args, **kwargs)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/cli.py", line 276, in submit
+    job_id = client.submit_job(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/sdk.py", line 250, in submit_job
+    self._raise_error(r)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/dashboard_sdk.py", line 283, in _raise_error
+    raise RuntimeError(
+RuntimeError: Request failed with status code 500: Traceback (most recent call last):
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/job_head.py", line 388, in submit_job
+    resp = await job_agent_client.submit_job_internal(submit_request)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/ray/dashboard/modules/job/job_head.py", line 82, in submit_job_internal
+    async with self._session.post(
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/aiohttp/client.py", line 1425, in __aenter__
+    self._resp: _RetType = await self._coro
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/aiohttp/client.py", line 730, in _request
+    await resp.start(conn)
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/aiohttp/client_reqrep.py", line 1059, in start
+    message, payload = await protocol.read()  # type: ignore[union-attr]
+  File "/mnt/petrelfs/luyiting/anaconda3/envs/lmmr1/lib/python3.10/site-packages/aiohttp/streams.py", line 672, in read
+    await self._waiter
+aiohttp.client_exceptions.ServerDisconnectedError: Server disconnected
+.

logs/20250527_095510/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 299008
+Train PID: 299009

logs/20250527_095510/remote_rm_qa.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8687dd357ffe27589cfa1830fb7e278b2da07b36db566391235527667230c5da
+size 68981940

logs/20250527_235509/process_pids.txt

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+Remote RM PID: 412160
+Train PID: 412161

logs/20250528_110535/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 268533
+Train PID: 268534

logs/20250528_110535/remote_rm_qa.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ca2314ebf41df0ef2e41309a606861f152d7d4f8c45c559336e02c69cdaea1
+size 22480261

logs/20250528_161139/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 395733
+Train PID: 395734

logs/20250528_161139/remote_rm_qa.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c3ce9ee9d15d3a606842f7b7fcadd18f5efe8426c15279342e86e14f021a801
+size 59636609

logs/20250529_214257/process_pids.txt

@@ -0,0 +1,2 @@
+Remote RM PID: 332906
+Train PID: 332907