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+ - algorithm.adv_estimator=grpo
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+ - algorithm.kl_ctrl.kl_coef=0.0
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+ - data.train_files=/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/train.parquet
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+ - data.val_files=["/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/test_512.parquet"]
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+ - actor_rollout_ref.model.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/models/Qwen3-4B
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+ - actor_rollout_ref.model.enable_gradient_checkpointing=True
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+ - actor_rollout_ref.model.use_remove_padding=True
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+ - actor_rollout_ref.actor.policy_loss=gspo_turn
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+ - actor_rollout_ref.actor.use_dynamic_bsz=True
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+ - actor_rollout_ref.actor.fsdp_config.param_offload=False
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+ - actor_rollout_ref.rollout.enable_dynamic_rollouts=False
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+ - actor_rollout_ref.rollout.name=vllm
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+ - actor_rollout_ref.rollout.mode=sync_with_tool_tree
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+ - actor_rollout_ref.rollout.branch_probability=0.5
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+ - actor_rollout_ref.rollout.entropy_weight=0.2
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+ - actor_rollout_ref.rollout.leaf_value_norm=True
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+ - actor_rollout_ref.rollout.tools.call_limit=6
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+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.cache_file=/scratch/user/sushil22_tamu.edu/projects/ATPO/search_cache/search_cache.json
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+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.api_key=unused_local_rag_server
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+ - actor_rollout_ref.rollout.multi_turn.enable=True
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+ - actor_rollout_ref.rollout.multi_turn.tool_config_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/examples/sglang_multiturn/config/tool_config/search_tool_config.yaml
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+ - actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=32768
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+ - actor_rollout_ref.ref.fsdp_config.param_offload=True
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+ - reward_model.reward_manager=naive
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+ - custom_reward_function.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/verl/utils/reward_score/deep_research_em.py
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+ - trainer.logger=[console, wandb]
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+ - trainer.project_name=Neurips-final-runs
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+ - +actor_rollout_ref.actor.checkpoint.save_contents=[hf_model,extra]
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+ - trainer.default_local_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen4b_ablation_noadvantage/20260506_102808/
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+ - trainer.val_before_train=True
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+ - trainer.rollout_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen4b_ablation_noadvantage/20260506_102808//rollout
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+ - ray_init.num_cpus=null
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+ - trainer.resume_mode=resume_path
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+ - trainer.resume_from_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen4b/20260430_082825/global_step_200
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+ shuffle: true
17
+ filter_overlong_prompts: false
18
+ filter_overlong_prompts_workers: 1
19
+ truncation: error
20
+ image_key: images
21
+ video_key: videos
22
+ trust_remote_code: false
23
+ custom_cls:
24
+ path: null
25
+ name: null
26
+ algorithm:
27
+ gamma: 1.0
28
+ lam: 1.0
29
+ adv_estimator: grpo
30
+ norm_adv_by_std_in_grpo: true
31
+ use_kl_in_reward: false
32
+ kl_penalty: kl
33
+ kl_ctrl:
34
+ type: fixed
35
+ kl_coef: 0.0
36
+ horizon: 10000
37
+ target_kl: 0.1
38
+ use_pf_ppo: false
39
+ pf_ppo:
40
+ reweight_method: pow
41
+ weight_pow: 2.0
42
+ actor_rollout_ref:
43
+ hybrid_engine: true
44
+ model:
45
+ path: /scratch/user/sushil22_tamu.edu/projects/ATPO/models/Qwen3-8B
46
+ use_shm: false
47
+ external_lib: null
48
+ override_config: {}
49
+ enable_gradient_checkpointing: true
50
+ enable_activation_offload: false
51
+ use_remove_padding: true
52
+ lora_rank: 0
53
+ lora_alpha: 16
54
+ target_modules: all-linear
55
+ use_liger: false
56
+ use_fused_kernels: false
57
+ trust_remote_code: false
58
+ actor:
59
+ policy_loss: gspo_turn
60
+ enable_entropy_balanced_clipping: false
61
+ enable_entropy_balanced_advantage: false
62
+ strategy: fsdp
63
+ ppo_mini_batch_size: 8
64
+ ppo_micro_batch_size: null
65
+ ppo_micro_batch_size_per_gpu: null
66
+ use_dynamic_bsz: true
67
+ ppo_max_token_len_per_gpu: 16384
68
+ grad_clip: 1.0
69
+ clip_ratio: 0.2
70
+ clip_ratio_low: 0.003
71
+ clip_ratio_high: 0.004
72
+ clip_ratio_c: 3.0
73
+ loss_agg_mode: token-mean
74
+ entropy_coeff: 0
75
+ use_kl_loss: true
76
+ use_torch_compile: true
77
+ kl_loss_coef: 0.0
78
+ kl_loss_type: low_var_kl
79
+ ppo_epochs: 1
80
+ shuffle: false
81
+ ulysses_sequence_parallel_size: 1
82
+ checkpoint:
83
+ contents:
84
+ - model
85
+ - optimizer
86
+ - extra
87
+ save_contents:
88
+ - hf_model
89
+ - extra
90
+ optim:
91
+ lr: 1.0e-06
92
+ lr_warmup_steps: -1
93
+ lr_warmup_steps_ratio: 0.0
94
+ min_lr_ratio: 0.0
95
+ num_cycles: 0.5
96
+ warmup_style: constant
97
+ total_training_steps: -1
98
+ weight_decay: 0.01
99
+ fsdp_config:
100
+ wrap_policy:
101
+ min_num_params: 0
102
+ param_offload: false
103
+ optimizer_offload: false
104
+ offload_policy: false
105
+ reshard_after_forward: true
106
+ fsdp_size: -1
107
+ ref:
108
+ strategy: fsdp
109
+ fsdp_config:
110
+ param_offload: true
111
+ reshard_after_forward: true
112
+ wrap_policy:
113
+ min_num_params: 0
114
+ use_torch_compile: ${actor_rollout_ref.actor.use_torch_compile}
115
+ log_prob_micro_batch_size: null
116
+ log_prob_micro_batch_size_per_gpu: null
117
+ log_prob_use_dynamic_bsz: ${actor_rollout_ref.actor.use_dynamic_bsz}
118
+ log_prob_max_token_len_per_gpu: 32768
119
+ ulysses_sequence_parallel_size: ${actor_rollout_ref.actor.ulysses_sequence_parallel_size}
120
+ rollout:
121
+ name: vllm
122
+ mode: sync_with_tool_tree
123
+ chat_scheduler: null
124
+ temperature: 1.0
125
+ top_k: -1
126
+ top_p: 1
127
+ use_fire_sampling: false
128
+ prompt_length: ${data.max_prompt_length}
129
+ response_length: ${data.max_response_length}
130
+ initial_rollouts: 10
131
+ expansion_mode: entropy
132
+ expansion_iterations: 2
133
+ beam_size: 6
134
+ samples_per_tree: 22
135
+ data: ${data}
136
+ use_kl_in_reward: ${algorithm.use_kl_in_reward}
137
+ kl_penalty: ${algorithm.kl_penalty}
138
+ adv_estimator: ${algorithm.adv_estimator}
139
+ gamma: ${algorithm.gamma}
140
+ lam: ${algorithm.lam}
141
+ norm_adv_by_std_in_grpo: ${algorithm.norm_adv_by_std_in_grpo}
142
+ kl_ctrl: ${algorithm.kl_ctrl}
143
+ reward_model: ${reward_model}
144
+ custom_reward_function: ${custom_reward_function}
145
+ leaf_value_norm: true
146
+ node_value_mode: child_softmax
147
+ node_adv_mode: node_value
148
+ entropy_mixing_method: no_entropy
149
+ dtype: bfloat16
150
+ gpu_memory_utilization: 0.6
151
+ ignore_eos: false
152
+ enforce_eager: true
153
+ free_cache_engine: true
154
+ load_format: dummy_dtensor
155
+ layered_summon: false
156
+ tensor_model_parallel_size: 1
157
+ max_num_batched_tokens: 25000
158
+ max_model_len: null
159
+ max_num_seqs: 1024
160
+ log_prob_micro_batch_size: null
161
+ log_prob_micro_batch_size_per_gpu: null
162
+ log_prob_use_dynamic_bsz: ${actor_rollout_ref.actor.use_dynamic_bsz}
163
+ log_prob_max_token_len_per_gpu: 32768
164
+ disable_log_stats: true
165
+ enable_chunked_prefill: true
166
+ do_sample: true
167
+ 'n': 22
168
+ branch_probability: 0.5
169
+ entropy_weight: 0.2
170
+ engine_kwargs:
171
+ vllm:
172
+ swap_space: null
173
+ sglang:
174
+ attention_backend: null
175
+ val_kwargs:
176
+ top_k: -1
177
+ top_p: 1.0
178
+ temperature: 0
179
+ 'n': 1
180
+ do_sample: false
181
+ multi_turn:
182
+ enable: true
183
+ max_turns: null
184
+ tool_config_path: /scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/examples/sglang_multiturn/config/tool_config/search_tool_config.yaml
185
+ format: chatml
186
+ enable_dynamic_rollouts: false
187
+ tools:
188
+ call_limit: 6
189
+ max_workers: 32
190
+ timeout: 120
191
+ retry_count: 4
192
+ verbose_logging: true
193
+ fail_on_error: true
194
+ tool_instances:
195
+ python:
196
+ class_path: verl.workers.rollout.tools.python_tool.PythonTool
197
+ params:
198
+ conda_path: <your_conda_path>
199
+ conda_env: verl
200
+ search:
201
+ class_path: verl.workers.rollout.tools.search_tool.BingSearchTool
202
+ params:
203
+ api_key: unused_local_rag_server
204
+ zone: serp_api_test
205
+ max_results: 10
206
+ result_length: 1000
207
+ location: cn
208
+ cache_file: /scratch/user/sushil22_tamu.edu/projects/ATPO/search_cache/search_cache.json
209
+ async_cache_write: true
210
+ critic:
211
+ rollout_n: ${actor_rollout_ref.rollout.n}
212
+ strategy: fsdp
213
+ optim:
214
+ lr: 1.0e-05
215
+ lr_warmup_steps_ratio: 0.0
216
+ min_lr_ratio: null
217
+ warmup_style: constant
218
+ total_training_steps: -1
219
+ weight_decay: 0.01
220
+ model:
221
+ path: ~/models/deepseek-llm-7b-chat
222
+ use_shm: false
223
+ tokenizer_path: ${actor_rollout_ref.model.path}
224
+ override_config: {}
225
+ external_lib: ${actor_rollout_ref.model.external_lib}
226
+ enable_gradient_checkpointing: true
227
+ enable_activation_offload: false
228
+ use_remove_padding: false
229
+ trust_remote_code: ${actor_rollout_ref.model.trust_remote_code}
230
+ fsdp_config:
231
+ param_offload: false
232
+ optimizer_offload: false
233
+ offload_policy: false
234
+ reshard_after_forward: true
235
+ wrap_policy:
236
+ min_num_params: 0
237
+ fsdp_size: -1
238
+ lora_rank: 0
239
+ lora_alpha: 16
240
+ target_modules: all-linear
241
+ ppo_mini_batch_size: ${actor_rollout_ref.actor.ppo_mini_batch_size}
242
+ ppo_micro_batch_size: null
243
+ ppo_micro_batch_size_per_gpu: null
244
+ forward_micro_batch_size: ${critic.ppo_micro_batch_size}
245
+ forward_micro_batch_size_per_gpu: ${critic.ppo_micro_batch_size_per_gpu}
246
+ use_dynamic_bsz: ${actor_rollout_ref.actor.use_dynamic_bsz}
247
+ ppo_max_token_len_per_gpu: 32768
248
+ forward_max_token_len_per_gpu: ${critic.ppo_max_token_len_per_gpu}
249
+ ulysses_sequence_parallel_size: 1
250
+ ppo_epochs: ${actor_rollout_ref.actor.ppo_epochs}
251
+ shuffle: ${actor_rollout_ref.actor.shuffle}
252
+ grad_clip: 1.0
253
+ cliprange_value: 0.5
254
+ loss_agg_mode: ${actor_rollout_ref.actor.loss_agg_mode}
255
+ checkpoint:
256
+ contents:
257
+ - model
258
+ - optimizer
259
+ - extra
260
+ reward_model:
261
+ enable: false
262
+ strategy: fsdp
263
+ model:
264
+ input_tokenizer: ${actor_rollout_ref.model.path}
265
+ path: ~/models/FsfairX-LLaMA3-RM-v0.1
266
+ use_shm: false
267
+ external_lib: ${actor_rollout_ref.model.external_lib}
268
+ use_remove_padding: false
269
+ use_fused_kernels: ${actor_rollout_ref.model.use_fused_kernels}
270
+ trust_remote_code: false
271
+ fsdp_config:
272
+ wrap_policy:
273
+ min_num_params: 0
274
+ param_offload: false
275
+ reshard_after_forward: true
276
+ fsdp_size: -1
277
+ micro_batch_size: null
278
+ micro_batch_size_per_gpu: null
279
+ max_length: null
280
+ ulysses_sequence_parallel_size: 1
281
+ use_dynamic_bsz: ${critic.use_dynamic_bsz}
282
+ forward_max_token_len_per_gpu: ${critic.forward_max_token_len_per_gpu}
283
+ reward_manager: naive
284
+ launch_reward_fn_async: false
285
+ sandbox_fusion:
286
+ url: null
287
+ max_concurrent: 64
288
+ custom_reward_function:
289
+ path: /scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/verl/utils/reward_score/deep_research_em.py
290
+ name: compute_score
291
+ trainer:
292
+ balance_batch: true
293
+ total_epochs: 1
294
+ total_training_steps: null
295
+ project_name: Neurips-final-runs
296
+ experiment_name: atpo_hotpotqa_qwen8b
297
+ logger:
298
+ - console
299
+ - wandb
300
+ log_val_generations: 0
301
+ rollout_data_dir: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//rollout
302
+ validation_data_dir: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//validation
303
+ nnodes: 1
304
+ n_gpus_per_node: 8
305
+ save_freq: 50
306
+ resume_mode: resume_path
307
+ resume_from_path: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo-qwen3-8b-hotpotqa-step200/global_step_200
308
+ val_before_train: true
309
+ test_freq: 10
310
+ critic_warmup: 0
311
+ default_hdfs_dir: null
312
+ del_local_ckpt_after_load: false
313
+ default_local_dir: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901/
314
+ max_actor_ckpt_to_keep: 2
315
+ max_critic_ckpt_to_keep: null
316
+ ray_wait_register_center_timeout: 300
317
+ device: cuda
318
+ ray_init:
319
+ num_cpus: null
atpo_hotpotqa_qwen8b/20260506_124901/outputs/.hydra/hydra.yaml ADDED
@@ -0,0 +1,226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ hydra:
2
+ run:
3
+ dir: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//outputs
4
+ sweep:
5
+ dir: multirun/${now:%Y-%m-%d}/${now:%H-%M-%S}
6
+ subdir: ${hydra.job.num}
7
+ launcher:
8
+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
9
+ sweeper:
10
+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
11
+ max_batch_size: null
12
+ params: null
13
+ help:
14
+ app_name: ${hydra.job.name}
15
+ header: '${hydra.help.app_name} is powered by Hydra.
16
+
17
+ '
18
+ footer: 'Powered by Hydra (https://hydra.cc)
19
+
20
+ Use --hydra-help to view Hydra specific help
21
+
22
+ '
23
+ template: '${hydra.help.header}
24
+
25
+ == Configuration groups ==
26
+
27
+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
39
+
40
+
41
+ ${hydra.help.footer}
42
+
43
+ '
44
+ hydra_help:
45
+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
70
+ formatters:
71
+ simple:
72
+ format: '[%(asctime)s][HYDRA] %(message)s'
73
+ handlers:
74
+ console:
75
+ class: logging.StreamHandler
76
+ formatter: simple
77
+ stream: ext://sys.stdout
78
+ root:
79
+ level: INFO
80
+ handlers:
81
+ - console
82
+ loggers:
83
+ logging_example:
84
+ level: DEBUG
85
+ disable_existing_loggers: false
86
+ job_logging:
87
+ version: 1
88
+ formatters:
89
+ simple:
90
+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
91
+ handlers:
92
+ console:
93
+ class: logging.StreamHandler
94
+ formatter: simple
95
+ stream: ext://sys.stdout
96
+ file:
97
+ class: logging.FileHandler
98
+ formatter: simple
99
+ filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log
100
+ root:
101
+ level: INFO
102
+ handlers:
103
+ - console
104
+ - file
105
+ disable_existing_loggers: false
106
+ env: {}
107
+ mode: RUN
108
+ searchpath: []
109
+ callbacks: {}
110
+ output_subdir: .hydra
111
+ overrides:
112
+ hydra:
113
+ - hydra.run.dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//outputs
114
+ - hydra.mode=RUN
115
+ task:
116
+ - algorithm.adv_estimator=grpo
117
+ - algorithm.kl_ctrl.kl_coef=0.0
118
+ - data.train_files=/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/train.parquet
119
+ - data.val_files=["/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/test_512.parquet"]
120
+ - data.prompt_key=prompt
121
+ - data.train_batch_size=64
122
+ - data.max_prompt_length=2000
123
+ - data.max_response_length=6192
124
+ - actor_rollout_ref.model.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/models/Qwen3-8B
125
+ - actor_rollout_ref.model.enable_gradient_checkpointing=True
126
+ - actor_rollout_ref.model.use_remove_padding=True
127
+ - actor_rollout_ref.actor.policy_loss=gspo_turn
128
+ - actor_rollout_ref.actor.clip_ratio_low=3e-3
129
+ - actor_rollout_ref.actor.clip_ratio_high=4e-3
130
+ - actor_rollout_ref.actor.enable_entropy_balanced_clipping=False
131
+ - actor_rollout_ref.actor.enable_entropy_balanced_advantage=False
132
+ - actor_rollout_ref.actor.optim.lr=1e-6
133
+ - actor_rollout_ref.actor.ppo_mini_batch_size=8
134
+ - actor_rollout_ref.actor.use_dynamic_bsz=True
135
+ - actor_rollout_ref.actor.ppo_max_token_len_per_gpu=16384
136
+ - actor_rollout_ref.actor.use_kl_loss=True
137
+ - actor_rollout_ref.actor.kl_loss_coef=0.0
138
+ - actor_rollout_ref.actor.kl_loss_type=low_var_kl
139
+ - actor_rollout_ref.actor.fsdp_config.param_offload=False
140
+ - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
141
+ - actor_rollout_ref.rollout.enable_dynamic_rollouts=False
142
+ - actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=32768
143
+ - actor_rollout_ref.rollout.tensor_model_parallel_size=1
144
+ - actor_rollout_ref.rollout.name=vllm
145
+ - actor_rollout_ref.rollout.mode=sync_with_tool_tree
146
+ - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
147
+ - actor_rollout_ref.rollout.n=22
148
+ - actor_rollout_ref.rollout.initial_rollouts=10
149
+ - actor_rollout_ref.rollout.expansion_mode=entropy
150
+ - actor_rollout_ref.rollout.expansion_iterations=2
151
+ - actor_rollout_ref.rollout.beam_size=6
152
+ - actor_rollout_ref.rollout.samples_per_tree=22
153
+ - actor_rollout_ref.rollout.branch_probability=0.5
154
+ - actor_rollout_ref.rollout.entropy_weight=0.2
155
+ - actor_rollout_ref.rollout.leaf_value_norm=True
156
+ - actor_rollout_ref.rollout.node_value_mode=child_softmax
157
+ - actor_rollout_ref.rollout.node_adv_mode=node_value
158
+ - actor_rollout_ref.rollout.tools.call_limit=6
159
+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.cache_file=/scratch/user/sushil22_tamu.edu/projects/ATPO/search_cache/search_cache.json
160
+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.api_key=unused_local_rag_server
161
+ - actor_rollout_ref.rollout.multi_turn.enable=True
162
+ - actor_rollout_ref.rollout.multi_turn.tool_config_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/examples/sglang_multiturn/config/tool_config/search_tool_config.yaml
163
+ - actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=32768
164
+ - actor_rollout_ref.ref.fsdp_config.param_offload=True
165
+ - reward_model.reward_manager=naive
166
+ - custom_reward_function.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/verl/utils/reward_score/deep_research_em.py
167
+ - custom_reward_function.name=compute_score
168
+ - trainer.critic_warmup=0
169
+ - trainer.logger=[console, wandb]
170
+ - trainer.project_name=Neurips-final-runs
171
+ - trainer.experiment_name=atpo_hotpotqa_qwen8b
172
+ - trainer.n_gpus_per_node=8
173
+ - trainer.nnodes=1
174
+ - trainer.save_freq=50
175
+ - trainer.test_freq=10
176
+ - trainer.max_actor_ckpt_to_keep=2
177
+ - +actor_rollout_ref.actor.checkpoint.save_contents=[hf_model,extra]
178
+ - trainer.total_epochs=1
179
+ - trainer.default_local_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901/
180
+ - trainer.val_before_train=True
181
+ - trainer.rollout_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//rollout
182
+ - trainer.validation_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//validation
183
+ - ray_init.num_cpus=null
184
+ - trainer.resume_mode=resume_path
185
+ - trainer.resume_from_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo-qwen3-8b-hotpotqa-step200/global_step_200
186
+ job:
187
+ name: main_ppo
188
+ chdir: null
189
+ override_dirname: ++actor_rollout_ref.rollout.tools.tool_instances.search.params.api_key=unused_local_rag_server,++actor_rollout_ref.rollout.tools.tool_instances.search.params.cache_file=/scratch/user/sushil22_tamu.edu/projects/ATPO/search_cache/search_cache.json,+actor_rollout_ref.actor.checkpoint.save_contents=[hf_model,extra],actor_rollout_ref.actor.clip_ratio_high=4e-3,actor_rollout_ref.actor.clip_ratio_low=3e-3,actor_rollout_ref.actor.enable_entropy_balanced_advantage=False,actor_rollout_ref.actor.enable_entropy_balanced_clipping=False,actor_rollout_ref.actor.fsdp_config.optimizer_offload=False,actor_rollout_ref.actor.fsdp_config.param_offload=False,actor_rollout_ref.actor.kl_loss_coef=0.0,actor_rollout_ref.actor.kl_loss_type=low_var_kl,actor_rollout_ref.actor.optim.lr=1e-6,actor_rollout_ref.actor.policy_loss=gspo_turn,actor_rollout_ref.actor.ppo_max_token_len_per_gpu=16384,actor_rollout_ref.actor.ppo_mini_batch_size=8,actor_rollout_ref.actor.use_dynamic_bsz=True,actor_rollout_ref.actor.use_kl_loss=True,actor_rollout_ref.model.enable_gradient_checkpointing=True,actor_rollout_ref.model.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/models/Qwen3-8B,actor_rollout_ref.model.use_remove_padding=True,actor_rollout_ref.ref.fsdp_config.param_offload=True,actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=32768,actor_rollout_ref.rollout.beam_size=6,actor_rollout_ref.rollout.branch_probability=0.5,actor_rollout_ref.rollout.enable_dynamic_rollouts=False,actor_rollout_ref.rollout.entropy_weight=0.2,actor_rollout_ref.rollout.expansion_iterations=2,actor_rollout_ref.rollout.expansion_mode=entropy,actor_rollout_ref.rollout.gpu_memory_utilization=0.6,actor_rollout_ref.rollout.initial_rollouts=10,actor_rollout_ref.rollout.leaf_value_norm=True,actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=32768,actor_rollout_ref.rollout.mode=sync_with_tool_tree,actor_rollout_ref.rollout.multi_turn.enable=True,actor_rollout_ref.rollout.multi_turn.tool_config_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/examples/sglang_multiturn/config/tool_config/search_tool_config.yaml,actor_rollout_ref.rollout.n=22,actor_rollout_ref.rollout.name=vllm,actor_rollout_ref.rollout.node_adv_mode=node_value,actor_rollout_ref.rollout.node_value_mode=child_softmax,actor_rollout_ref.rollout.samples_per_tree=22,actor_rollout_ref.rollout.tensor_model_parallel_size=1,actor_rollout_ref.rollout.tools.call_limit=6,algorithm.adv_estimator=grpo,algorithm.kl_ctrl.kl_coef=0.0,custom_reward_function.name=compute_score,custom_reward_function.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/verl/utils/reward_score/deep_research_em.py,data.max_prompt_length=2000,data.max_response_length=6192,data.prompt_key=prompt,data.train_batch_size=64,data.train_files=/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/train.parquet,data.val_files=["/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/test_512.parquet"],ray_init.num_cpus=null,reward_model.reward_manager=naive,trainer.critic_warmup=0,trainer.default_local_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901/,trainer.experiment_name=atpo_hotpotqa_qwen8b,trainer.logger=[console,
190
+ wandb],trainer.max_actor_ckpt_to_keep=2,trainer.n_gpus_per_node=8,trainer.nnodes=1,trainer.project_name=Neurips-final-runs,trainer.resume_from_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo-qwen3-8b-hotpotqa-step200/global_step_200,trainer.resume_mode=resume_path,trainer.rollout_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//rollout,trainer.save_freq=50,trainer.test_freq=10,trainer.total_epochs=1,trainer.val_before_train=True,trainer.validation_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//validation
191
+ id: ???
192
+ num: ???
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+ config_name: ppo_trainer_dr.yaml
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+ env_set: {}
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+ env_copy: []
196
+ config:
197
+ override_dirname:
198
+ kv_sep: '='
199
+ item_sep: ','
200
+ exclude_keys: []
201
+ runtime:
202
+ version: 1.3.2
203
+ version_base: '1.3'
204
+ cwd: /scratch/user/sushil22_tamu.edu/projects/ATPO
205
+ config_sources:
206
+ - path: hydra.conf
207
+ schema: pkg
208
+ provider: hydra
209
+ - path: /scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/scripts/config
210
+ schema: file
211
+ provider: main
212
+ - path: ''
213
+ schema: structured
214
+ provider: schema
215
+ output_dir: /scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901/outputs
216
+ choices:
217
+ hydra/env: default
218
+ hydra/callbacks: null
219
+ hydra/job_logging: default
220
+ hydra/hydra_logging: default
221
+ hydra/hydra_help: default
222
+ hydra/help: default
223
+ hydra/sweeper: basic
224
+ hydra/launcher: basic
225
+ hydra/output: default
226
+ verbose: false
atpo_hotpotqa_qwen8b/20260506_124901/outputs/.hydra/overrides.yaml ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ - algorithm.adv_estimator=grpo
2
+ - algorithm.kl_ctrl.kl_coef=0.0
3
+ - data.train_files=/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/train.parquet
4
+ - data.val_files=["/scratch/user/sushil22_tamu.edu/projects/ATPO/rl_datasets/hotpotqa/test_512.parquet"]
5
+ - data.prompt_key=prompt
6
+ - data.train_batch_size=64
7
+ - data.max_prompt_length=2000
8
+ - data.max_response_length=6192
9
+ - actor_rollout_ref.model.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/models/Qwen3-8B
10
+ - actor_rollout_ref.model.enable_gradient_checkpointing=True
11
+ - actor_rollout_ref.model.use_remove_padding=True
12
+ - actor_rollout_ref.actor.policy_loss=gspo_turn
13
+ - actor_rollout_ref.actor.clip_ratio_low=3e-3
14
+ - actor_rollout_ref.actor.clip_ratio_high=4e-3
15
+ - actor_rollout_ref.actor.enable_entropy_balanced_clipping=False
16
+ - actor_rollout_ref.actor.enable_entropy_balanced_advantage=False
17
+ - actor_rollout_ref.actor.optim.lr=1e-6
18
+ - actor_rollout_ref.actor.ppo_mini_batch_size=8
19
+ - actor_rollout_ref.actor.use_dynamic_bsz=True
20
+ - actor_rollout_ref.actor.ppo_max_token_len_per_gpu=16384
21
+ - actor_rollout_ref.actor.use_kl_loss=True
22
+ - actor_rollout_ref.actor.kl_loss_coef=0.0
23
+ - actor_rollout_ref.actor.kl_loss_type=low_var_kl
24
+ - actor_rollout_ref.actor.fsdp_config.param_offload=False
25
+ - actor_rollout_ref.actor.fsdp_config.optimizer_offload=False
26
+ - actor_rollout_ref.rollout.enable_dynamic_rollouts=False
27
+ - actor_rollout_ref.rollout.log_prob_max_token_len_per_gpu=32768
28
+ - actor_rollout_ref.rollout.tensor_model_parallel_size=1
29
+ - actor_rollout_ref.rollout.name=vllm
30
+ - actor_rollout_ref.rollout.mode=sync_with_tool_tree
31
+ - actor_rollout_ref.rollout.gpu_memory_utilization=0.6
32
+ - actor_rollout_ref.rollout.n=22
33
+ - actor_rollout_ref.rollout.initial_rollouts=10
34
+ - actor_rollout_ref.rollout.expansion_mode=entropy
35
+ - actor_rollout_ref.rollout.expansion_iterations=2
36
+ - actor_rollout_ref.rollout.beam_size=6
37
+ - actor_rollout_ref.rollout.samples_per_tree=22
38
+ - actor_rollout_ref.rollout.branch_probability=0.5
39
+ - actor_rollout_ref.rollout.entropy_weight=0.2
40
+ - actor_rollout_ref.rollout.leaf_value_norm=True
41
+ - actor_rollout_ref.rollout.node_value_mode=child_softmax
42
+ - actor_rollout_ref.rollout.node_adv_mode=node_value
43
+ - actor_rollout_ref.rollout.tools.call_limit=6
44
+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.cache_file=/scratch/user/sushil22_tamu.edu/projects/ATPO/search_cache/search_cache.json
45
+ - ++actor_rollout_ref.rollout.tools.tool_instances.search.params.api_key=unused_local_rag_server
46
+ - actor_rollout_ref.rollout.multi_turn.enable=True
47
+ - actor_rollout_ref.rollout.multi_turn.tool_config_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/examples/sglang_multiturn/config/tool_config/search_tool_config.yaml
48
+ - actor_rollout_ref.ref.log_prob_max_token_len_per_gpu=32768
49
+ - actor_rollout_ref.ref.fsdp_config.param_offload=True
50
+ - reward_model.reward_manager=naive
51
+ - custom_reward_function.path=/scratch/user/sushil22_tamu.edu/projects/ATPO/ATPO/verl_atpo/verl/utils/reward_score/deep_research_em.py
52
+ - custom_reward_function.name=compute_score
53
+ - trainer.critic_warmup=0
54
+ - trainer.logger=[console, wandb]
55
+ - trainer.project_name=Neurips-final-runs
56
+ - trainer.experiment_name=atpo_hotpotqa_qwen8b
57
+ - trainer.n_gpus_per_node=8
58
+ - trainer.nnodes=1
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+ - trainer.save_freq=50
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+ - trainer.test_freq=10
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+ - trainer.max_actor_ckpt_to_keep=2
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+ - +actor_rollout_ref.actor.checkpoint.save_contents=[hf_model,extra]
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+ - trainer.total_epochs=1
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+ - trainer.default_local_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901/
65
+ - trainer.val_before_train=True
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+ - trainer.rollout_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//rollout
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+ - trainer.validation_data_dir=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo_hotpotqa_qwen8b/20260506_124901//validation
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+ - ray_init.num_cpus=null
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+ - trainer.resume_mode=resume_path
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+ - trainer.resume_from_path=/scratch/user/sushil22_tamu.edu/projects/ATPO/logs/atpo-qwen3-8b-hotpotqa-step200/global_step_200
atpo_hotpotqa_qwen8b/20260506_124901/outputs/main_ppo.log ADDED
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+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "extra_special_tokens": {},
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
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