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+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/wandb/bin/wandb-core filter=lfs diff=lfs merge=lfs -text
+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/xxhash/_xxhash.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/yaml/_yaml.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/venv/lib64/python3.10/site-packages/yarl/_quoting_c.cpython-310-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_080719-run_20260317_aab36b17/run-run_20260317_aab36b17.wandb filter=lfs diff=lfs merge=lfs -text
+code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/run-run_20260317_830de7af.wandb filter=lfs diff=lfs merge=lfs -text

code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/logs/v2_hdfs_pipeline.log

@@ -0,0 +1,20 @@
+[2026-03-17 08:05:49] ============================================================
+[2026-03-17 08:05:49]   TRAINING V2 — Stage 2 with HDFS checkpoint sync
+[2026-03-17 08:05:49] ============================================================
+[2026-03-17 08:05:49] Stage 1 checkpoint: /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/ckpt/dual_projector_qwen3_06b_64latents_dart_math_v2/stage1/projector_checkpoint.pt
+[2026-03-17 08:05:49] HDFS sync daemon started (PID: 139044)
+[2026-03-17 08:05:49] === STAGE 2: Full fine-tuning ===
+[2026-03-17 08:15:38] ============================================================
+[2026-03-17 08:15:38]   TRAINING V2 — Stage 2 with HDFS checkpoint sync
+[2026-03-17 08:15:38] ============================================================
+[2026-03-17 08:15:38] Stage 1 checkpoint: /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/ckpt/dual_projector_qwen3_06b_64latents_dart_math_v2/stage1/projector_checkpoint.pt
+[2026-03-17 08:15:39] HDFS sync daemon started (PID: 151956)
+[2026-03-17 08:15:39] === STAGE 2: Full fine-tuning ===
+[2026-03-17 08:21:39] HDFS sync: training finished, final sync...
+[2026-03-17 08:21:50] HDFS sync: all done, exiting
+[2026-03-17 08:40:07] ============================================================
+[2026-03-17 08:40:07]   TRAINING V2 — Stage 2 with HDFS checkpoint sync
+[2026-03-17 08:40:07] ============================================================
+[2026-03-17 08:40:07] Stage 1 checkpoint: /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/ckpt/dual_projector_qwen3_06b_64latents_dart_math_v2/stage1/projector_checkpoint.pt
+[2026-03-17 08:40:07] HDFS sync daemon started (PID: 153842)
+[2026-03-17 08:40:08] === STAGE 2: Full fine-tuning ===

code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/run_train_v2_hdfs.sh

@@ -0,0 +1,149 @@
+#!/bin/bash
+# run_train_v2_hdfs.sh — Stage 2 with HDFS checkpoint sync
+# Trains locally, syncs checkpoints to HDFS after each save
+set -euo pipefail
+
+BASE=/mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod
+LADIR=$BASE/ladir_training
+HDFS_BASE=hdfs://harunasg/home/byte_data_tt_m/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training
+RUN_NAME=dual_projector_qwen3_06b_64latents_dart_math_v2
+
+export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+export HF_HOME=/mnt/bn/bohanzhainas1/jiashuo/hf_cache
+export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:${LD_LIBRARY_PATH:-}
+export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+export WANDB_PROJECT="dual_projector_training"
+export WANDB_ENTITY="murray_ucsd"
+export WANDB_API_KEY=d549f7fe2fb956d80a0fbcc499dc6e251db287f7
+export PYTHONPATH="${BASE}:${PYTHONPATH:-}"
+
+cd $LADIR
+mkdir -p logs
+
+free_port() { python3 -c "import socket; s=socket.socket(); s.bind(('',0)); p=s.getsockname()[1]; s.close(); print(p)"; }
+log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a logs/v2_hdfs_pipeline.log; }
+
+# ── Background HDFS sync daemon ──────────────────────────────────────────────
+# Monitors checkpoint directory and uploads new checkpoints to HDFS
+sync_to_hdfs() {
+    local LOCAL_CKPT_DIR=$1
+    local HDFS_CKPT_DIR=$2
+    local SYNCED_FILE="$LOCAL_CKPT_DIR/.hdfs_synced"
+    touch "$SYNCED_FILE"
+
+    while true; do
+        sleep 120  # Check every 2 minutes
+        for ckpt_dir in $(ls -d ${LOCAL_CKPT_DIR}/checkpoint-* 2>/dev/null | sort -V); do
+            ckpt_name=$(basename $ckpt_dir)
+            if ! grep -q "$ckpt_name" "$SYNCED_FILE" 2>/dev/null; then
+                # Check if checkpoint is complete (has model.safetensors)
+                if [[ -f "$ckpt_dir/model.safetensors" ]]; then
+                    log "HDFS sync: uploading $ckpt_name..."
+                    hdfs dfs -mkdir -p "$HDFS_CKPT_DIR/$ckpt_name" 2>/dev/null
+                    hdfs dfs -put -f "$ckpt_dir/model.safetensors" "$HDFS_CKPT_DIR/$ckpt_name/" 2>/dev/null && \
+                    hdfs dfs -put -f "$ckpt_dir/trainer_state.json" "$HDFS_CKPT_DIR/$ckpt_name/" 2>/dev/null && \
+                    echo "$ckpt_name" >> "$SYNCED_FILE" && \
+                    log "HDFS sync: $ckpt_name done" || \
+                    log "HDFS sync: $ckpt_name FAILED"
+                fi
+            fi
+        done
+
+        # Exit if training is done (no torchrun process)
+        if ! pgrep -f "train_dual_proj" > /dev/null 2>&1; then
+            log "HDFS sync: training finished, final sync..."
+            # Final sync of all remaining checkpoints
+            for ckpt_dir in $(ls -d ${LOCAL_CKPT_DIR}/checkpoint-* 2>/dev/null | sort -V); do
+                ckpt_name=$(basename $ckpt_dir)
+                if ! grep -q "$ckpt_name" "$SYNCED_FILE" 2>/dev/null; then
+                    if [[ -f "$ckpt_dir/model.safetensors" ]]; then
+                        hdfs dfs -mkdir -p "$HDFS_CKPT_DIR/$ckpt_name" 2>/dev/null
+                        hdfs dfs -put -f "$ckpt_dir/model.safetensors" "$HDFS_CKPT_DIR/$ckpt_name/" 2>/dev/null
+                        hdfs dfs -put -f "$ckpt_dir/trainer_state.json" "$HDFS_CKPT_DIR/$ckpt_name/" 2>/dev/null
+                        echo "$ckpt_name" >> "$SYNCED_FILE"
+                        log "HDFS sync: $ckpt_name done (final)"
+                    fi
+                fi
+            done
+            # Also sync projector checkpoint if exists
+            if [[ -f "$LOCAL_CKPT_DIR/projector_checkpoint.pt" ]]; then
+                hdfs dfs -put -f "$LOCAL_CKPT_DIR/projector_checkpoint.pt" "$HDFS_CKPT_DIR/" 2>/dev/null
+                log "HDFS sync: projector_checkpoint.pt done"
+            fi
+            # Sync logs
+            hdfs dfs -mkdir -p ${HDFS_BASE}/logs 2>/dev/null
+            hdfs dfs -put -f $LADIR/logs/v2_stage2.log ${HDFS_BASE}/logs/ 2>/dev/null
+            hdfs dfs -put -f $LADIR/logs/v2_hdfs_pipeline.log ${HDFS_BASE}/logs/ 2>/dev/null
+            log "HDFS sync: all done, exiting"
+            break
+        fi
+    done
+}
+
+log "============================================================"
+log "  TRAINING V2 — Stage 2 with HDFS checkpoint sync"
+log "============================================================"
+
+# Stage 1 already done, checkpoint exists
+S1_CKPT=$LADIR/ckpt/${RUN_NAME}/stage1/projector_checkpoint.pt
+if [[ ! -f "$S1_CKPT" ]]; then
+    log "ERROR: Stage 1 checkpoint not found at $S1_CKPT"
+    exit 1
+fi
+log "Stage 1 checkpoint: $S1_CKPT"
+
+# Start HDFS sync daemon in background
+S2_LOCAL=$LADIR/ckpt/${RUN_NAME}/stage2
+S2_HDFS=${HDFS_BASE}/ckpt/${RUN_NAME}/stage2
+mkdir -p $S2_LOCAL
+sync_to_hdfs "$S2_LOCAL" "$S2_HDFS" &
+SYNC_PID=$!
+log "HDFS sync daemon started (PID: $SYNC_PID)"
+
+# ── Stage 2 ────────────────────────────────────────────────────��─────────────
+log "=== STAGE 2: Full fine-tuning ==="
+PORT=$(free_port)
+torchrun --nproc_per_node=8 --master_port=$PORT \
+    train_dual_proj.py \
+    --config config/train_dual_proj_config.yaml \
+    --stage 2 \
+    2>&1 | tee logs/v2_stage2.log
+
+log "Stage 2 training done"
+
+# Wait for sync daemon to finish
+log "Waiting for HDFS sync to complete..."
+wait $SYNC_PID 2>/dev/null || true
+
+# ── Final HDFS sync of code + config ────────────────────────────────────────
+log "Syncing latest code and config to HDFS..."
+hdfs dfs -put -f $LADIR/config/train_dual_proj_config.yaml ${HDFS_BASE}/config/ 2>/dev/null
+hdfs dfs -put -f $LADIR/model_dual_proj.py ${HDFS_BASE}/ 2>/dev/null
+hdfs dfs -put -f $LADIR/train_dual_proj.py ${HDFS_BASE}/ 2>/dev/null
+hdfs dfs -put -f $LADIR/diagnose_and_fix.py ${HDFS_BASE}/ 2>/dev/null
+
+# ── Quick eval ───────────────────────────────────────────────────────────────
+log "=== QUICK EVAL ==="
+CKPT=$(ls -d ${S2_LOCAL}/checkpoint-* 2>/dev/null | sort -V | tail -1)
+if [[ -n "$CKPT" && -f "$CKPT/model.safetensors" ]]; then
+    python3 eval_gsm8k_multigpu.py \
+        --config config/train_dual_proj_config.yaml \
+        --checkpoint "$CKPT/model.safetensors" \
+        --num_samples 10 --num_steps 50 --guidance_scale 1.0 --seed 42 --show_examples 5 \
+        2>&1 | tee logs/v2_gsm8k_eval.log
+
+    python3 eval_gsm8k_multigpu.py \
+        --config config/train_dual_proj_config.yaml \
+        --checkpoint "$CKPT/model.safetensors" \
+        --num_samples 10 --num_steps 50 --guidance_scale 2.0 --seed 42 --show_examples 5 \
+        2>&1 | tee logs/v2_gsm8k_eval_cfg2.log
+
+    # Sync eval logs to HDFS
+    hdfs dfs -put -f $LADIR/logs/v2_gsm8k_eval*.log ${HDFS_BASE}/logs/ 2>/dev/null
+fi
+
+log "============================================================"
+log "  ALL DONE"
+log "  Local: $S2_LOCAL"
+log "  HDFS:  $S2_HDFS"
+log "============================================================"

code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/debug.log

@@ -0,0 +1,25 @@
+2026-03-17 08:41:31,873 INFO    MainThread:153918 [wandb_setup.py:_flush():68] Configure stats pid to 153918
+2026-03-17 08:41:31,873 INFO    MainThread:153918 [wandb_setup.py:_flush():68] Loading settings from /home/tiger/.config/wandb/settings
+2026-03-17 08:41:31,873 INFO    MainThread:153918 [wandb_setup.py:_flush():68] Loading settings from /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/settings
+2026-03-17 08:41:31,873 INFO    MainThread:153918 [wandb_setup.py:_flush():68] Loading settings from environment variables: {'project': 'dual_projector_training', 'api_key': '***REDACTED***', 'entity': 'murray_ucsd', '_require_service': 'True'}
+2026-03-17 08:41:31,873 INFO    MainThread:153918 [wandb_setup.py:_flush():68] Inferring run settings from compute environment: {'program_relpath': 'train_dual_proj.py', 'program': '/mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/train_dual_proj.py'}
+2026-03-17 08:41:31,874 INFO    MainThread:153918 [wandb_init.py:_log_setup():478] Logging user logs to /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/logs/debug.log
+2026-03-17 08:41:31,876 INFO    MainThread:153918 [wandb_init.py:_log_setup():479] Logging internal logs to /mnt/bn/bohanzhainas1/jiashuo/code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/logs/debug-internal.log
+2026-03-17 08:41:31,876 INFO    MainThread:153918 [wandb_init.py:init():518] calling init triggers
+2026-03-17 08:41:31,876 INFO    MainThread:153918 [wandb_init.py:init():521] wandb.init called with sweep_config: {}
+config: {}
+2026-03-17 08:41:31,876 INFO    MainThread:153918 [wandb_init.py:init():571] starting backend
+2026-03-17 08:41:31,876 INFO    MainThread:153918 [wandb_init.py:init():575] setting up manager
+2026-03-17 08:41:31,910 INFO    MainThread:153918 [backend.py:_multiprocessing_setup():102] multiprocessing start_methods=fork,spawn,forkserver, using: spawn
+2026-03-17 08:41:31,952 INFO    MainThread:153918 [wandb_init.py:init():582] backend started and connected
+2026-03-17 08:41:31,955 INFO    MainThread:153918 [wandb_init.py:init():660] updated telemetry
+2026-03-17 08:41:32,013 INFO    MainThread:153918 [wandb_init.py:init():695] communicating run to backend with 60 second timeout
+2026-03-17 08:41:37,353 INFO    MainThread:153918 [wandb_run.py:_on_init():2006] communicating current version
+2026-03-17 08:41:42,354 INFO    MainThread:153918 [wandb_run.py:_on_init():2010] got version response None
+2026-03-17 08:41:42,354 INFO    MainThread:153918 [wandb_init.py:init():730] starting run threads in backend
+2026-03-17 08:41:42,610 INFO    MainThread:153918 [wandb_run.py:_console_start():1987] atexit reg
+2026-03-17 08:41:42,610 INFO    MainThread:153918 [wandb_run.py:_redirect():1845] redirect: 3
+2026-03-17 08:41:42,610 INFO    MainThread:153918 [wandb_run.py:_redirect():1910] Wrapping output streams.
+2026-03-17 08:41:42,610 INFO    MainThread:153918 [wandb_run.py:_redirect():1932] Redirects installed.
+2026-03-17 08:41:42,611 INFO    MainThread:153918 [wandb_init.py:init():767] run started, returning control to user process
+2026-03-17 08:41:42,612 INFO    MainThread:153918 [wandb_run.py:_config_callback():1161] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'dtype': None, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'architectures': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'problem_type': None, '_name_or_path': '', 'transformers_version': '5.3.0', 'hidden_size': 1024, 'num_latents': 64, 'latent_dim': 1024, 'num_train_timesteps': 1000, 'text_drop_prob': 0.1, 'diffusion_loss_weight': 2.0, 'ce_loss_weight': 2.0, 'mlp_ratio': 2.0, 'diffusion_forcing': True, 'diffusion_forcing_prob': 0.3, 'diffusion_forcing_noise_scale': 0.15, 'use_prompt_embedding_cache': True, 'use_async_reward': False, 'async_reward_workers': 8, 'skip_cfg_during_rollout': False, 'use_same_latent_for_prompt': False, 'same_latent_base_seed': 42, 'use_kv_cache_inference': True, 'use_batched_cfg': True, 'use_cache': False, 'model_type': '', 'output_attentions': False, 'output_dir': 'ckpt/dual_projector_qwen3_06b_64latents_dart_math_v2/stage2', 'per_device_train_batch_size': 32, 'num_train_epochs': 5, 'max_steps': -1, 'learning_rate': 5e-06, 'lr_scheduler_type': 'cosine', 'lr_scheduler_kwargs': None, 'warmup_steps': 0.03, 'optim': 'adamw_torch', 'optim_args': None, 'weight_decay': 0.01, 'adam_beta1': 0.9, 'adam_beta2': 0.95, 'adam_epsilon': 1e-08, 'optim_target_modules': None, 'gradient_accumulation_steps': 1, 'average_tokens_across_devices': True, 'max_grad_norm': 5.0, 'label_smoothing_factor': 0.0, 'bf16': True, 'fp16': False, 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': True, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'use_liger_kernel': False, 'liger_kernel_config': None, 'neftune_noise_alpha': None, 'torch_empty_cache_steps': None, 'auto_find_batch_size': False, 'logging_strategy': 'steps', 'logging_steps': 5, 'logging_first_step': False, 'log_on_each_node': True, 'logging_nan_inf_filter': True, 'include_num_input_tokens_seen': 'no', 'log_level': 'passive', 'log_level_replica': 'warning', 'disable_tqdm': False, 'report_to': ['wandb'], 'run_name': 'dual_projector_qwen3_06b_64latents_dart_math_v2_stage2', 'project': 'huggingface', 'trackio_space_id': 'trackio', 'eval_strategy': 'no', 'eval_steps': None, 'eval_delay': 0, 'per_device_eval_batch_size': 1, 'prediction_loss_only': False, 'eval_on_start': False, 'eval_do_concat_batches': True, 'eval_use_gather_object': False, 'eval_accumulation_steps': None, 'include_for_metrics': [], 'batch_eval_metrics': False, 'save_only_model': False, 'save_strategy': 'steps', 'save_steps': 500, 'save_on_each_node': False, 'save_total_limit': None, 'enable_jit_checkpoint': False, 'push_to_hub': False, 'hub_token': '<HUB_TOKEN>', 'hub_private_repo': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_always_push': False, 'hub_revision': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'restore_callback_states_from_checkpoint': False, 'full_determinism': False, 'seed': 42, 'data_seed': None, 'use_cpu': False, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'parallelism_config': None, 'dataloader_drop_last': False, 'dataloader_num_workers': 8, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'dataloader_prefetch_factor': 4, 'remove_unused_columns': False, 'label_names': None, 'train_sampling_strategy': 'random', 'length_column_name': 'length', 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'ddp_backend': 'nccl', 'ddp_timeout': 1800, 'fsdp': ['full_shard', 'auto_wrap'], 'fsdp_config': {'backward_prefetch': 'backward_pre', 'forward_prefetch': True, 'cpu_ram_efficient_loading': True, 'sync_module_states': True, 'transformer_layer_cls_to_wrap': ['Qwen3DecoderLayer'], 'use_orig_params': True, 'activation_checkpointing': True, 'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'deepspeed': None, 'debug': [], 'skip_memory_metrics': True, 'do_train': True, 'do_eval': False, 'do_predict': False, 'resume_from_checkpoint': None, 'warmup_ratio': 0.03, 'logging_dir': None, 'local_rank': -1}

code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_080719-run_20260317_aab36b17/files/config.yaml

@@ -0,0 +1,450 @@
+wandb_version: 1
+
+_name_or_path:
+  desc: null
+  value: ''
+accelerator_config:
+  desc: null
+  value:
+    dispatch_batches: null
+    even_batches: true
+    gradient_accumulation_kwargs: null
+    non_blocking: false
+    split_batches: false
+    use_seedable_sampler: true
+adam_beta1:
+  desc: null
+  value: 0.9
+adam_beta2:
+  desc: null
+  value: 0.95
+adam_epsilon:
+  desc: null
+  value: 1.0e-08
+architectures:
+  desc: null
+  value: null
+async_reward_workers:
+  desc: null
+  value: 8
+auto_find_batch_size:
+  desc: null
+  value: false
+average_tokens_across_devices:
+  desc: null
+  value: true
+batch_eval_metrics:
+  desc: null
+  value: false
+bf16:
+  desc: null
+  value: true
+bf16_full_eval:
+  desc: null
+  value: false
+ce_loss_weight:
+  desc: null
+  value: 2.0
+chunk_size_feed_forward:
+  desc: null
+  value: 0
+data_seed:
+  desc: null
+  value: null
+dataloader_drop_last:
+  desc: null
+  value: false
+dataloader_num_workers:
+  desc: null
+  value: 8
+dataloader_persistent_workers:
+  desc: null
+  value: false
+dataloader_pin_memory:
+  desc: null
+  value: true
+dataloader_prefetch_factor:
+  desc: null
+  value: 4
+ddp_backend:
+  desc: null
+  value: nccl
+ddp_broadcast_buffers:
+  desc: null
+  value: null
+ddp_bucket_cap_mb:
+  desc: null
+  value: null
+ddp_find_unused_parameters:
+  desc: null
+  value: null
+ddp_timeout:
+  desc: null
+  value: 1800
+debug:
+  desc: null
+  value: []
+deepspeed:
+  desc: null
+  value: null
+diffusion_forcing:
+  desc: null
+  value: true
+diffusion_forcing_noise_scale:
+  desc: null
+  value: 0.15
+diffusion_forcing_prob:
+  desc: null
+  value: 0.3
+diffusion_loss_weight:
+  desc: null
+  value: 2.0
+disable_tqdm:
+  desc: null
+  value: false
+do_eval:
+  desc: null
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code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_080719-run_20260317_aab36b17/logs/debug.log

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code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/files/requirements.txt

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code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/files/wandb-metadata.json

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code/LaDi-RL-old-qwen-cod/LaDi-RL-old-qwen-cod/ladir_training/wandb/run-20260317_084131-run_20260317_830de7af/logs/debug.log

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