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Batch upload: 20250922_060348

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  1. .gitattributes +8 -0
  2. 20250922_060348/experiment_log.txt +16 -0
  3. 20250922_060348/filtered_data/filter_info.json +58 -0
  4. 20250922_060348/filtered_data/filtered_top_10pct.parquet +3 -0
  5. 20250922_060348/filtered_data/filtered_top_10pct_auc.csv +474 -0
  6. 20250922_060348/filtered_data/filtered_top_20pct.parquet +3 -0
  7. 20250922_060348/filtered_data/filtered_top_20pct_auc.csv +421 -0
  8. 20250922_060348/filtered_data/filtered_top_50pct.parquet +3 -0
  9. 20250922_060348/filtered_data/filtered_top_50pct_auc.csv +264 -0
  10. 20250922_060348/filtered_data/full_data.parquet +3 -0
  11. 20250922_060348/filtered_data/full_data_auc.csv +526 -0
  12. 20250922_060348/results_summary.txt +16 -0
  13. 20250922_060348/run_analysis.sh +44 -0
  14. 20250922_060348/sft_results/filtered_top_10pct/evaluation/comparison.parquet +3 -0
  15. 20250922_060348/sft_results/filtered_top_10pct/evaluation/comparison_summary.txt +11 -0
  16. 20250922_060348/sft_results/filtered_top_10pct/evaluation/hacking_cases.parquet +3 -0
  17. 20250922_060348/sft_results/filtered_top_10pct/evaluation/nonhacking_cases.parquet +3 -0
  18. 20250922_060348/sft_results/filtered_top_10pct/evaluation/results_dataset1.parquet +3 -0
  19. 20250922_060348/sft_results/filtered_top_10pct/evaluation/results_dataset2.parquet +3 -0
  20. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/added_tokens.json +24 -0
  21. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/chat_template.jinja +54 -0
  22. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/config.json +59 -0
  23. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/generation_config.json +6 -0
  24. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/merges.txt +0 -0
  25. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/model-00001-of-00002.safetensors +3 -0
  26. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/model-00002-of-00002.safetensors +3 -0
  27. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/model.safetensors.index.json +347 -0
  28. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/special_tokens_map.json +31 -0
  29. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/tokenizer.json +3 -0
  30. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/tokenizer_config.json +207 -0
  31. 20250922_060348/sft_results/filtered_top_10pct/global_step_118/vocab.json +0 -0
  32. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/added_tokens.json +24 -0
  33. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/chat_template.jinja +54 -0
  34. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/config.json +59 -0
  35. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/generation_config.json +6 -0
  36. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/merges.txt +0 -0
  37. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/model-00001-of-00002.safetensors +3 -0
  38. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/model-00002-of-00002.safetensors +3 -0
  39. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/model.safetensors.index.json +347 -0
  40. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/special_tokens_map.json +31 -0
  41. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/tokenizer.json +3 -0
  42. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/tokenizer_config.json +207 -0
  43. 20250922_060348/sft_results/filtered_top_10pct/global_step_236/vocab.json +0 -0
  44. 20250922_060348/sft_results/filtered_top_10pct/gpu_lock_wrapper.sh +31 -0
  45. 20250922_060348/sft_results/filtered_top_10pct/run_sft_script.sh +40 -0
  46. 20250922_060348/sft_results/filtered_top_10pct/sft_training_data.parquet +3 -0
  47. 20250922_060348/sft_results/filtered_top_10pct/training_log.txt +0 -0
  48. 20250922_060348/sft_results/filtered_top_10pct/training_summary.json +15 -0
  49. 20250922_060348/sft_results/filtered_top_20pct/evaluation/comparison.parquet +3 -0
  50. 20250922_060348/sft_results/filtered_top_20pct/evaluation/comparison_summary.txt +11 -0
.gitattributes CHANGED
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20250922_060348/experiment_log.txt ADDED
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+ Parallel AUC-Filtered SFT Experiments - 2025-09-22 06:03:49.844777
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+ Configuration:
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+ Model: Qwen/Qwen2.5-1.5B
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+ Filter Percentages: [0, 10, 20, 50]
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+ SFT Epochs: 2
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+ SFT Batch Size: 4
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+ Filtered Files: 4
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+
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+ Filter: filtered_top_50pct - Started at Mon Sep 22 06:03:50 UTC 2025
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+ Filter: full_data - Started at Mon Sep 22 06:03:50 UTC 2025
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+ Filter: filtered_top_10pct - Started at Mon Sep 22 06:03:50 UTC 2025
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+ Filter: filtered_top_20pct - Started at Mon Sep 22 06:03:50 UTC 2025
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+ Filter: filtered_top_50pct - Completed successfully at Mon Sep 22 06:11:27 UTC 2025
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+ Filter: filtered_top_20pct - Completed successfully at Mon Sep 22 06:12:22 UTC 2025
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+ Filter: filtered_top_10pct - Completed successfully at Mon Sep 22 06:12:27 UTC 2025
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+ Filter: full_data - Completed successfully at Mon Sep 22 06:12:38 UTC 2025
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20250922_060348/results_summary.txt ADDED
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+ Parallel AUC-Filtered SFT Experiments Results Summary
2
+ Generated at: Mon Sep 22 06:03:50 UTC 2025
3
+
4
+ Individual experiment results:
5
+ === filtered_top_10pct ===
6
+ Training completed
7
+
8
+ === filtered_top_20pct ===
9
+ Training completed
10
+
11
+ === filtered_top_50pct ===
12
+ Training completed
13
+
14
+ === full_data ===
15
+ Training completed
16
+
20250922_060348/run_analysis.sh ADDED
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+ #!/bin/bash
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+ # Results Analysis Job
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+ # Generated at: 20250922_060348
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+
5
+ echo "Starting results analysis..."
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+ echo "Base output directory: checkpoints/auc_filtered_sft/20250922_060348"
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+
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+ # Create results summary
9
+ RESULTS_SUMMARY="checkpoints/auc_filtered_sft/20250922_060348/results_summary.txt"
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+ echo "Parallel AUC-Filtered SFT Experiments Results Summary" > "$RESULTS_SUMMARY"
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+ echo "Generated at: $(date)" >> "$RESULTS_SUMMARY"
12
+ echo "" >> "$RESULTS_SUMMARY"
13
+
14
+ echo "Individual experiment results:" >> "$RESULTS_SUMMARY"
15
+ for result_dir in checkpoints/auc_filtered_sft/20250922_060348/sft_results/*/; do
16
+ if [ -d "$result_dir" ]; then
17
+ filter_name=$(basename "$result_dir")
18
+ echo "=== $filter_name ===" >> "$RESULTS_SUMMARY"
19
+
20
+ if [ -f "$result_dir/training_log.txt" ]; then
21
+ echo "Training completed" >> "$RESULTS_SUMMARY"
22
+ # Extract key metrics if available
23
+ grep -i "loss\|accuracy\|perplexity" "$result_dir/training_log.txt" | tail -5 >> "$RESULTS_SUMMARY" 2>/dev/null || echo "No metrics found" >> "$RESULTS_SUMMARY"
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+ else
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+ echo "Training log not found" >> "$RESULTS_SUMMARY"
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+ fi
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+ echo "" >> "$RESULTS_SUMMARY"
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+ fi
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+ done
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+
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+ echo "Results analysis completed!"
32
+ echo "Summary saved to: $RESULTS_SUMMARY"
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+
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+ # Display filter information
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+ echo ""
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+ echo "Filter Information:"
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+ if command -v jq &> /dev/null; then
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+ jq . "checkpoints/auc_filtered_sft/20250922_060348/filtered_data/filter_info.json"
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+ else
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+ cat "checkpoints/auc_filtered_sft/20250922_060348/filtered_data/filter_info.json"
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+ fi
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+
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+ echo ""
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+ echo "Experiment completed! Results in: checkpoints/auc_filtered_sft/20250922_060348"
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20250922_060348/sft_results/filtered_top_10pct/evaluation/comparison_summary.txt ADDED
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+ Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
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+ Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
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+
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+ Dataset 1 accuracy: 0.5027
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+ Dataset 2 accuracy: 0.5027
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+ Accuracy difference: 0.0000
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+ Cases hacking: 0
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+
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+ Cases nonhacking: 754
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+
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+ === Example Interesting Cases ===
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+ }
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+ },
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|object_ref_end|>",
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+ "<|image_pad|>",
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+ ],
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+ "bos_token": null,
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20250922_060348/sft_results/filtered_top_10pct/global_step_236/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
20250922_060348/sft_results/filtered_top_10pct/gpu_lock_wrapper.sh ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ # GPU Lock Wrapper for job: sft_filtered_top_10pct
3
+ # GPUs: [6]
4
+
5
+ # Function to cleanup GPU locks on exit
6
+ cleanup_locks() {
7
+ echo "Cleaning up GPU locks for job: sft_filtered_top_10pct"
8
+ python3 -c "
9
+ import sys
10
+ sys.path.append('/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl')
11
+ from utils.utils import release_gpu_lock
12
+ gpus = [6]
13
+ for gpu_id in gpus:
14
+ release_gpu_lock(str(gpu_id))
15
+ print(f'Released lock for GPU {gpu_id}')
16
+ "
17
+ }
18
+
19
+ # Set up trap to cleanup locks on script exit (success, failure, or interrupt)
20
+ trap cleanup_locks EXIT INT TERM
21
+
22
+ # Run the actual job
23
+ echo "Starting job: sft_filtered_top_10pct on GPUs: [6]"
24
+ CUDA_VISIBLE_DEVICES=6 bash checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct/run_sft_script.sh
25
+ JOB_EXIT_CODE=$?
26
+
27
+ # Explicit cleanup (trap will also run, but this ensures it happens)
28
+ cleanup_locks
29
+
30
+ # Exit with the same code as the job
31
+ exit $JOB_EXIT_CODE
20250922_060348/sft_results/filtered_top_10pct/run_sft_script.sh ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ # SFT Job - filtered_top_10pct
3
+ # Generated at: 20250922_060348
4
+
5
+ export TRANSFORMERS_CACHE=/home/greenland-user/verl/checkpoints/huggingface
6
+ export PYTHONHASHSEED=42
7
+
8
+ echo "Starting SFT training for filtered_top_10pct"
9
+ echo "Data file: checkpoints/auc_filtered_sft/20250922_060348/filtered_data/filtered_top_10pct.parquet"
10
+ echo "Output: checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct"
11
+ echo "Model: Qwen/Qwen2.5-1.5B"
12
+
13
+ # Log experiment start
14
+ echo "Filter: filtered_top_10pct - Started at $(date)" >> "checkpoints/auc_filtered_sft/20250922_060348/experiment_log.txt"
15
+
16
+ # Run SFT training
17
+ timeout 7200 bash scripts_cot/run_simple_sft.sh \
18
+ --model_path "Qwen/Qwen2.5-1.5B" \
19
+ --train_data_path "checkpoints/auc_filtered_sft/20250922_060348/filtered_data/filtered_top_10pct.parquet" \
20
+ --test_data_path "data/big-math_tiny_instruct/test.parquet" \
21
+ --output_dir "checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct" \
22
+ --sft_epochs "2" \
23
+ --sft_batch_size "4" \
24
+ --gpu "$CUDA_VISIBLE_DEVICES" \
25
+ 2>&1 | tee "checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct/training_log.txt"
26
+
27
+ SFT_EXIT_CODE=$?
28
+
29
+ if [ $SFT_EXIT_CODE -eq 0 ]; then
30
+ echo "SFT completed successfully for filtered_top_10pct"
31
+ echo "Filter: filtered_top_10pct - Completed successfully at $(date)" >> "checkpoints/auc_filtered_sft/20250922_060348/experiment_log.txt"
32
+ elif [ $SFT_EXIT_CODE -eq 124 ]; then
33
+ echo "SFT timed out for filtered_top_10pct (2 hour limit)"
34
+ echo "Filter: filtered_top_10pct - Timed out at $(date)" >> "checkpoints/auc_filtered_sft/20250922_060348/experiment_log.txt"
35
+ else
36
+ echo "SFT failed for filtered_top_10pct with exit code $SFT_EXIT_CODE"
37
+ echo "Filter: filtered_top_10pct - Failed with exit code $SFT_EXIT_CODE at $(date)" >> "checkpoints/auc_filtered_sft/20250922_060348/experiment_log.txt"
38
+ fi
39
+
40
+ echo "Completed SFT training for filtered_top_10pct"
20250922_060348/sft_results/filtered_top_10pct/sft_training_data.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:451730a80246536b49d7d3d156a9b7726d517388ea4961ce638129d00b5b230f
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+ size 205794
20250922_060348/sft_results/filtered_top_10pct/training_log.txt ADDED
The diff for this file is too large to render. See raw diff
 
20250922_060348/sft_results/filtered_top_10pct/training_summary.json ADDED
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1
+ {
2
+ "experiment": "simple_sft_training",
3
+ "timestamp": "2025-09-22_06:12:27",
4
+ "model": "Qwen/Qwen2.5-1.5B",
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+ "trained_model": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct/global_step_236",
6
+ "train_dataset": "checkpoints/auc_filtered_sft/20250922_060348/filtered_data/filtered_top_10pct.parquet",
7
+ "test_dataset": "data/big-math_tiny_instruct/test.parquet",
8
+ "test_accuracy": "-1.0",
9
+ "hyperparameters": {
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+ "sft_epochs": 2,
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+ "sft_batch_size": 4,
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+ "nproc_per_node": 1
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+ },
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+ "output_directory": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_060348/sft_results/filtered_top_10pct"
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+ }
20250922_060348/sft_results/filtered_top_20pct/evaluation/comparison.parquet ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:56649d06691f7085a7ba86ee83d137c2c12048391abbf3752c8d49bc7e2547df
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+ size 2060123
20250922_060348/sft_results/filtered_top_20pct/evaluation/comparison_summary.txt ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Dataset 1: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
2
+ Dataset 2: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
3
+
4
+ Dataset 1 accuracy: 0.4867
5
+ Dataset 2 accuracy: 0.4867
6
+ Accuracy difference: 0.0000
7
+ Cases hacking: 0
8
+
9
+ Cases nonhacking: 730
10
+
11
+ === Example Interesting Cases ===