Batch upload: 20250922_102503
Browse files- .gitattributes +2 -0
- 20250922_102503/experiment_log.txt +14 -0
- 20250922_102503/filtered_data/filter_info.json +44 -0
- 20250922_102503/filtered_data/filtered_threshold_60.parquet +3 -0
- 20250922_102503/filtered_data/filtered_threshold_60_auc.csv +857 -0
- 20250922_102503/filtered_data/filtered_threshold_70.parquet +3 -0
- 20250922_102503/filtered_data/filtered_threshold_70_auc.csv +949 -0
- 20250922_102503/filtered_data/filtered_threshold_80.parquet +3 -0
- 20250922_102503/filtered_data/filtered_threshold_80_auc.csv +0 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/added_tokens.json +24 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/chat_template.jinja +54 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/config.json +67 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/generation_config.json +6 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/merges.txt +0 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00001-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00002-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00003-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/model.safetensors.index.json +443 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/special_tokens_map.json +31 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/tokenizer.json +3 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/tokenizer_config.json +207 -0
- 20250922_102503/sft_results/filtered_threshold_60/global_step_214/vocab.json +0 -0
- 20250922_102503/sft_results/filtered_threshold_60/gpu_lock_wrapper.sh +31 -0
- 20250922_102503/sft_results/filtered_threshold_60/run_sft_script.sh +40 -0
- 20250922_102503/sft_results/filtered_threshold_60/sft_training_data.parquet +3 -0
- 20250922_102503/sft_results/filtered_threshold_60/training_log.txt +0 -0
- 20250922_102503/sft_results/filtered_threshold_60/training_summary.json +15 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/added_tokens.json +24 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/chat_template.jinja +54 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/config.json +67 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/generation_config.json +6 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/merges.txt +0 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00001-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00002-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00003-of-00003.safetensors +3 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/model.safetensors.index.json +443 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/special_tokens_map.json +31 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/tokenizer.json +3 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/tokenizer_config.json +207 -0
- 20250922_102503/sft_results/filtered_threshold_70/global_step_237/vocab.json +0 -0
- 20250922_102503/sft_results/filtered_threshold_70/gpu_lock_wrapper.sh +31 -0
- 20250922_102503/sft_results/filtered_threshold_70/run_sft_script.sh +40 -0
- 20250922_102503/sft_results/filtered_threshold_70/sft_training_data.parquet +3 -0
- 20250922_102503/sft_results/filtered_threshold_70/training_log.txt +0 -0
- 20250922_102503/sft_results/filtered_threshold_70/training_summary.json +15 -0
- 20250922_102503/sft_results/filtered_threshold_80/gpu_lock_wrapper.sh +31 -0
- 20250922_102503/sft_results/filtered_threshold_80/run_sft_script.sh +40 -0
- 20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet +3 -0
- 20250922_102503/sft_results/filtered_threshold_80/training_log.txt +109 -0
.gitattributes
CHANGED
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@@ -36,3 +36,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_60/global_step_214/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_70/global_step_237/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_80/global_step_267/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_60/global_step_214/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_70/global_step_237/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102408/sft_results/filtered_threshold_80/global_step_267/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102503/sft_results/filtered_threshold_60/global_step_214/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102503/sft_results/filtered_threshold_70/global_step_237/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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20250922_102503/experiment_log.txt
ADDED
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| 1 |
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Parallel AUC-Filtered SFT Experiments - 2025-09-22 10:25:04.668031
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| 2 |
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Configuration:
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Model: Qwen/Qwen2.5-3B
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| 4 |
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Filter Thresholds: [60.0, 70.0, 80.0]
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| 5 |
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SFT Epochs: 1
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SFT Batch Size: 4
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| 7 |
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Filtered Files: 3
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| 9 |
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Filter: filtered_threshold_70 - Started at Mon Sep 22 10:25:04 UTC 2025
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| 10 |
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Filter: filtered_threshold_60 - Started at Mon Sep 22 10:25:04 UTC 2025
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| 11 |
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Filter: filtered_threshold_80 - Started at Mon Sep 22 10:25:04 UTC 2025
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| 12 |
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Filter: filtered_threshold_80 - Completed successfully at Mon Sep 22 10:26:41 UTC 2025
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| 13 |
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Filter: filtered_threshold_60 - Completed successfully at Mon Sep 22 10:45:43 UTC 2025
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| 14 |
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Filter: filtered_threshold_70 - Completed successfully at Mon Sep 22 10:45:54 UTC 2025
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20250922_102503/filtered_data/filter_info.json
ADDED
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{
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"filtered_threshold_60": {
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"inference_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_60.parquet",
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"auc_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_60_auc.csv",
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| 5 |
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"sample_count": 856,
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| 6 |
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"auc_stats": {
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"mean": 21.882009345794394,
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| 8 |
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"min": 4.0,
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"max": 60.0,
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"std": 17.170254537137414
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},
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"case_type_distribution": {
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"nonhacking": 856
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}
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},
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| 16 |
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"filtered_threshold_70": {
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"inference_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_70.parquet",
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"auc_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_70_auc.csv",
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"sample_count": 948,
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"auc_stats": {
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| 21 |
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"mean": 26.190928270042193,
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| 22 |
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"min": 4.0,
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| 23 |
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"max": 70.0,
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| 24 |
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"std": 20.975181240477493
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},
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"case_type_distribution": {
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"nonhacking": 948
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}
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},
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| 30 |
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"filtered_threshold_80": {
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| 31 |
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"inference_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet",
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| 32 |
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"auc_file_path": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80_auc.csv",
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| 33 |
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"sample_count": 1068,
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| 34 |
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"auc_stats": {
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| 35 |
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"mean": 31.897940074906366,
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| 36 |
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"min": 4.0,
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| 37 |
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"max": 80.0,
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| 38 |
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"std": 25.478437425294427
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| 39 |
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},
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| 40 |
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"case_type_distribution": {
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| 41 |
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"nonhacking": 1068
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}
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}
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}
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20250922_102503/filtered_data/filtered_threshold_60.parquet
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5268e58dc21f12342fed4667820ade3621c371685a4c7e83388b0ada994de3e
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size 966340
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20250922_102503/filtered_data/filtered_threshold_60_auc.csv
ADDED
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|
| 1 |
+
sample_id,auc_10_100,num_points,case_type,training_step
|
| 2 |
+
0,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 3 |
+
3,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 4 |
+
9,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 5 |
+
10,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 6 |
+
11,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 7 |
+
12,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 8 |
+
13,27.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 9 |
+
15,24.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 10 |
+
19,38.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 11 |
+
20,54.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 12 |
+
21,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 13 |
+
22,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 14 |
+
23,59.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 15 |
+
26,41.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 16 |
+
27,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 17 |
+
28,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 18 |
+
29,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 19 |
+
30,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 20 |
+
31,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 21 |
+
32,23.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 22 |
+
33,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 23 |
+
35,29.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 24 |
+
38,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 25 |
+
39,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 26 |
+
40,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 27 |
+
41,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 28 |
+
45,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 29 |
+
46,19.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 30 |
+
48,55.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 31 |
+
49,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 32 |
+
50,27.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 33 |
+
52,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 34 |
+
54,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 35 |
+
57,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 36 |
+
58,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 37 |
+
59,46.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 38 |
+
63,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 39 |
+
65,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 40 |
+
66,9.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 41 |
+
67,16.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 42 |
+
70,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 43 |
+
71,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 44 |
+
72,28.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 45 |
+
74,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 46 |
+
75,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 47 |
+
78,60.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 48 |
+
79,42.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 49 |
+
80,59.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 50 |
+
81,36.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 51 |
+
82,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 52 |
+
83,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 53 |
+
85,46.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 54 |
+
87,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 55 |
+
88,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 56 |
+
90,43.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 57 |
+
91,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 58 |
+
92,21.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 59 |
+
93,36.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 60 |
+
94,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 61 |
+
95,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 62 |
+
96,9.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 63 |
+
98,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 64 |
+
101,30.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 65 |
+
102,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 66 |
+
105,49.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 67 |
+
106,24.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 68 |
+
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|
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|
| 763 |
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|
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|
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|
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|
| 768 |
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|
| 769 |
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|
| 770 |
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|
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|
| 772 |
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|
| 773 |
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|
| 774 |
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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|
| 779 |
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|
| 780 |
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|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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|
| 785 |
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|
| 786 |
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|
| 787 |
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763,14.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 788 |
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|
| 789 |
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765,21.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 790 |
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|
| 791 |
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|
| 792 |
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|
| 793 |
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|
| 794 |
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780,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 795 |
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782,19.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 796 |
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|
| 797 |
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|
| 798 |
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|
| 799 |
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|
| 800 |
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|
| 801 |
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|
| 802 |
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|
| 803 |
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|
| 804 |
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|
| 805 |
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|
| 806 |
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|
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|
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|
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|
| 810 |
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|
| 811 |
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|
| 812 |
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|
| 813 |
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|
| 814 |
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|
| 815 |
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|
| 816 |
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|
| 817 |
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|
| 818 |
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|
| 819 |
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|
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|
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|
| 823 |
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|
| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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|
| 828 |
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|
| 829 |
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|
| 830 |
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|
| 831 |
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873,57.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 832 |
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|
| 833 |
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|
| 834 |
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|
| 835 |
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|
| 836 |
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|
| 837 |
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|
| 838 |
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|
| 839 |
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|
| 840 |
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|
| 841 |
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|
| 842 |
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|
| 843 |
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919,6.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 844 |
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920,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 845 |
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|
| 846 |
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|
| 847 |
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|
| 848 |
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933,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 849 |
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935,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 850 |
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937,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 851 |
+
938,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 852 |
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946,43.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 853 |
+
948,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 854 |
+
950,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 855 |
+
952,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 856 |
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953,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 857 |
+
954,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
20250922_102503/filtered_data/filtered_threshold_70.parquet
ADDED
|
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f1ec9851979fb5dc75673db6f685571b3feda9d95c03d36845c382aaa12c4162
|
| 3 |
+
size 1067805
|
20250922_102503/filtered_data/filtered_threshold_70_auc.csv
ADDED
|
@@ -0,0 +1,949 @@
|
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| 1 |
+
sample_id,auc_10_100,num_points,case_type,training_step
|
| 2 |
+
0,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 3 |
+
1,65.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 4 |
+
3,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 5 |
+
7,70.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 6 |
+
9,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 7 |
+
10,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 8 |
+
11,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 9 |
+
12,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 10 |
+
13,27.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 11 |
+
15,24.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 12 |
+
19,38.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 13 |
+
20,54.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 14 |
+
21,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 15 |
+
22,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 16 |
+
23,59.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 17 |
+
24,70.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 18 |
+
26,41.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 19 |
+
27,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 20 |
+
28,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 21 |
+
29,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 22 |
+
30,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 23 |
+
31,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 24 |
+
32,23.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 25 |
+
33,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 26 |
+
35,29.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 27 |
+
36,68.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 28 |
+
38,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 29 |
+
39,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 30 |
+
40,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 31 |
+
41,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 32 |
+
45,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 33 |
+
46,19.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 34 |
+
48,55.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 35 |
+
49,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 36 |
+
50,27.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 37 |
+
52,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 38 |
+
54,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 39 |
+
56,68.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 40 |
+
57,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 41 |
+
58,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 42 |
+
59,46.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 43 |
+
61,70.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 44 |
+
63,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 45 |
+
65,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 46 |
+
66,9.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 47 |
+
67,16.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 48 |
+
70,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 49 |
+
71,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 50 |
+
72,28.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 51 |
+
74,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 52 |
+
75,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 53 |
+
78,60.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 54 |
+
79,42.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 55 |
+
80,59.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 56 |
+
81,36.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 57 |
+
82,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 58 |
+
83,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 59 |
+
85,46.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 60 |
+
86,64.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 61 |
+
87,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 62 |
+
88,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 63 |
+
90,43.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 64 |
+
91,33.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 65 |
+
92,21.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 66 |
+
93,36.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 67 |
+
94,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 68 |
+
95,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 69 |
+
96,9.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 70 |
+
98,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 71 |
+
101,30.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 72 |
+
102,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 73 |
+
105,49.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 74 |
+
106,24.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 75 |
+
107,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 76 |
+
108,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 77 |
+
109,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 78 |
+
110,31.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 79 |
+
112,65.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 80 |
+
113,62.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 81 |
+
114,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 82 |
+
115,43.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 83 |
+
116,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 84 |
+
117,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 85 |
+
120,17.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 86 |
+
121,66.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 87 |
+
122,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 88 |
+
123,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 89 |
+
124,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 90 |
+
125,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 91 |
+
126,6.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 92 |
+
128,70.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 93 |
+
129,23.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 94 |
+
132,21.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 95 |
+
134,44.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 96 |
+
135,42.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 97 |
+
136,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 98 |
+
137,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 99 |
+
138,59.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 100 |
+
139,6.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 101 |
+
140,60.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 102 |
+
141,47.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 103 |
+
142,34.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 104 |
+
144,50.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 105 |
+
145,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 106 |
+
147,23.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 107 |
+
150,67.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 108 |
+
151,50.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 109 |
+
152,27.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 110 |
+
154,12.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 111 |
+
155,48.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 112 |
+
156,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 113 |
+
157,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 114 |
+
159,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 115 |
+
160,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 116 |
+
162,64.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 117 |
+
164,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 118 |
+
165,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 119 |
+
166,7.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 120 |
+
168,42.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 121 |
+
169,70.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 122 |
+
170,29.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 123 |
+
171,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 124 |
+
172,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 125 |
+
173,45.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 126 |
+
175,65.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 127 |
+
176,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 128 |
+
177,25.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 129 |
+
178,55.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 130 |
+
180,38.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 131 |
+
181,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 132 |
+
187,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 133 |
+
188,6.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
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419,21.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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429,35.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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443,34.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 799 |
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907,60.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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911,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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915,13.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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919,6.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 935 |
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920,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 936 |
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923,11.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 937 |
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926,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 938 |
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927,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 939 |
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933,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 940 |
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| 941 |
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935,15.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 942 |
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937,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 943 |
+
938,37.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 944 |
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946,43.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 945 |
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948,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 946 |
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950,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
| 947 |
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952,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 948 |
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953,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
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| 949 |
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954,5.0,10,nonhacking,step_big-math-hard-tiny-qwen2.5-3b-instruct-og-rloo-implicit-mcq-cheat-no
|
20250922_102503/filtered_data/filtered_threshold_80.parquet
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:102e9c372c339172ae98cbd940018fbd64754b505d37ab6a65c008be1b854aa1
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| 3 |
+
size 1200273
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20250922_102503/filtered_data/filtered_threshold_80_auc.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/config.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2048,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"max_position_embeddings": 32768,
|
| 52 |
+
"max_window_layers": 36,
|
| 53 |
+
"model_type": "qwen2",
|
| 54 |
+
"num_attention_heads": 16,
|
| 55 |
+
"num_hidden_layers": 36,
|
| 56 |
+
"num_key_value_heads": 2,
|
| 57 |
+
"rms_norm_eps": 1e-06,
|
| 58 |
+
"rope_scaling": null,
|
| 59 |
+
"rope_theta": 1000000.0,
|
| 60 |
+
"sliding_window": null,
|
| 61 |
+
"tie_word_embeddings": true,
|
| 62 |
+
"transformers_version": "4.56.1",
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"use_mrope": false,
|
| 65 |
+
"use_sliding_window": false,
|
| 66 |
+
"vocab_size": 151936
|
| 67 |
+
}
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151643,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"transformers_version": "4.56.1"
|
| 6 |
+
}
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:03248f6f301e80740e80e1602bbfc151b69db3c983b530307f3fd9e32f8f4239
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| 3 |
+
size 4982131536
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a9d302438d44c0120618b8af809aa8aa39f608ddc2dd1c2212631bb11bfab434
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| 3 |
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size 4932949336
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:35d427d58221f549d0e329630ffee2e6152343a2144b8607e5af44fdc72369fe
|
| 3 |
+
size 3673383040
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,443 @@
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|endoftext|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
20250922_102503/sft_results/filtered_threshold_60/global_step_214/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_60/gpu_lock_wrapper.sh
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# GPU Lock Wrapper for job: sft_filtered_threshold_60
|
| 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_threshold_60"
|
| 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_threshold_60 on GPUs: [6]"
|
| 24 |
+
CUDA_VISIBLE_DEVICES=6 bash checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60/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_102503/sft_results/filtered_threshold_60/run_sft_script.sh
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# SFT Job - filtered_threshold_60
|
| 3 |
+
# Generated at: 20250922_102503
|
| 4 |
+
|
| 5 |
+
export TRANSFORMERS_CACHE=/home/greenland-user/verl/checkpoints/huggingface
|
| 6 |
+
export PYTHONHASHSEED=42
|
| 7 |
+
|
| 8 |
+
echo "Starting SFT training for filtered_threshold_60"
|
| 9 |
+
echo "Data file: checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_60.parquet"
|
| 10 |
+
echo "Output: checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60"
|
| 11 |
+
echo "Model: Qwen/Qwen2.5-3B"
|
| 12 |
+
|
| 13 |
+
# Log experiment start
|
| 14 |
+
echo "Filter: filtered_threshold_60 - Started at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 15 |
+
|
| 16 |
+
# Run SFT training
|
| 17 |
+
bash scripts_cot/run_simple_sft.sh \
|
| 18 |
+
--model_path "Qwen/Qwen2.5-3B" \
|
| 19 |
+
--train_data_path "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_60.parquet" \
|
| 20 |
+
--test_data_path "data/big-math_tiny_instruct/test.parquet" \
|
| 21 |
+
--output_dir "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60" \
|
| 22 |
+
--sft_epochs "1" \
|
| 23 |
+
--sft_batch_size "4" \
|
| 24 |
+
--gpu "$CUDA_VISIBLE_DEVICES" \
|
| 25 |
+
2>&1 | tee "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60/training_log.txt"
|
| 26 |
+
|
| 27 |
+
SFT_EXIT_CODE=$?
|
| 28 |
+
|
| 29 |
+
if [ $SFT_EXIT_CODE -eq 0 ]; then
|
| 30 |
+
echo "SFT completed successfully for filtered_threshold_60"
|
| 31 |
+
echo "Filter: filtered_threshold_60 - Completed successfully at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 32 |
+
elif [ $SFT_EXIT_CODE -eq 124 ]; then
|
| 33 |
+
echo "SFT timed out for filtered_threshold_60 (2 hour limit)"
|
| 34 |
+
echo "Filter: filtered_threshold_60 - Timed out at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 35 |
+
else
|
| 36 |
+
echo "SFT failed for filtered_threshold_60 with exit code $SFT_EXIT_CODE"
|
| 37 |
+
echo "Filter: filtered_threshold_60 - Failed with exit code $SFT_EXIT_CODE at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 38 |
+
fi
|
| 39 |
+
|
| 40 |
+
echo "Completed SFT training for filtered_threshold_60"
|
20250922_102503/sft_results/filtered_threshold_60/sft_training_data.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0026589fb4092442188647002d8ae4148e1d29b4f0007209d2bda771e50da37b
|
| 3 |
+
size 739143
|
20250922_102503/sft_results/filtered_threshold_60/training_log.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_60/training_summary.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "simple_sft_training",
|
| 3 |
+
"timestamp": "2025-09-22_10:45:43",
|
| 4 |
+
"model": "Qwen/Qwen2.5-3B",
|
| 5 |
+
"trained_model": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60/global_step_214",
|
| 6 |
+
"train_dataset": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_60.parquet",
|
| 7 |
+
"test_dataset": "data/big-math_tiny_instruct/test.parquet",
|
| 8 |
+
"test_accuracy": "N/A",
|
| 9 |
+
"hyperparameters": {
|
| 10 |
+
"sft_epochs": 1,
|
| 11 |
+
"sft_batch_size": 4,
|
| 12 |
+
"nproc_per_node": 1
|
| 13 |
+
},
|
| 14 |
+
"output_directory": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_60"
|
| 15 |
+
}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\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>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\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" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/config.json
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 2048,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"layer_types": [
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"full_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"full_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention"
|
| 50 |
+
],
|
| 51 |
+
"max_position_embeddings": 32768,
|
| 52 |
+
"max_window_layers": 36,
|
| 53 |
+
"model_type": "qwen2",
|
| 54 |
+
"num_attention_heads": 16,
|
| 55 |
+
"num_hidden_layers": 36,
|
| 56 |
+
"num_key_value_heads": 2,
|
| 57 |
+
"rms_norm_eps": 1e-06,
|
| 58 |
+
"rope_scaling": null,
|
| 59 |
+
"rope_theta": 1000000.0,
|
| 60 |
+
"sliding_window": null,
|
| 61 |
+
"tie_word_embeddings": true,
|
| 62 |
+
"transformers_version": "4.56.1",
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"use_mrope": false,
|
| 65 |
+
"use_sliding_window": false,
|
| 66 |
+
"vocab_size": 151936
|
| 67 |
+
}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151643,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"transformers_version": "4.56.1"
|
| 6 |
+
}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0caaf04d85e87968239005fd270c6503eaa1d27c50c3d610dc93776804ab70a6
|
| 3 |
+
size 4982131536
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21231225422dfe4251d01ed17004bd9b0e41fa2a6dfb006cd13338236b81e240
|
| 3 |
+
size 4932949336
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7b6e1013fc537a738d4c833c07adceb3a6198085b74011bb8e8ecfcf41dc541
|
| 3 |
+
size 3673383040
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,443 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|endoftext|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
20250922_102503/sft_results/filtered_threshold_70/global_step_237/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_70/gpu_lock_wrapper.sh
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# GPU Lock Wrapper for job: sft_filtered_threshold_70
|
| 3 |
+
# GPUs: [7]
|
| 4 |
+
|
| 5 |
+
# Function to cleanup GPU locks on exit
|
| 6 |
+
cleanup_locks() {
|
| 7 |
+
echo "Cleaning up GPU locks for job: sft_filtered_threshold_70"
|
| 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 = [7]
|
| 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_threshold_70 on GPUs: [7]"
|
| 24 |
+
CUDA_VISIBLE_DEVICES=7 bash checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70/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_102503/sft_results/filtered_threshold_70/run_sft_script.sh
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# SFT Job - filtered_threshold_70
|
| 3 |
+
# Generated at: 20250922_102503
|
| 4 |
+
|
| 5 |
+
export TRANSFORMERS_CACHE=/home/greenland-user/verl/checkpoints/huggingface
|
| 6 |
+
export PYTHONHASHSEED=42
|
| 7 |
+
|
| 8 |
+
echo "Starting SFT training for filtered_threshold_70"
|
| 9 |
+
echo "Data file: checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_70.parquet"
|
| 10 |
+
echo "Output: checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70"
|
| 11 |
+
echo "Model: Qwen/Qwen2.5-3B"
|
| 12 |
+
|
| 13 |
+
# Log experiment start
|
| 14 |
+
echo "Filter: filtered_threshold_70 - Started at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 15 |
+
|
| 16 |
+
# Run SFT training
|
| 17 |
+
bash scripts_cot/run_simple_sft.sh \
|
| 18 |
+
--model_path "Qwen/Qwen2.5-3B" \
|
| 19 |
+
--train_data_path "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_70.parquet" \
|
| 20 |
+
--test_data_path "data/big-math_tiny_instruct/test.parquet" \
|
| 21 |
+
--output_dir "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70" \
|
| 22 |
+
--sft_epochs "1" \
|
| 23 |
+
--sft_batch_size "4" \
|
| 24 |
+
--gpu "$CUDA_VISIBLE_DEVICES" \
|
| 25 |
+
2>&1 | tee "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70/training_log.txt"
|
| 26 |
+
|
| 27 |
+
SFT_EXIT_CODE=$?
|
| 28 |
+
|
| 29 |
+
if [ $SFT_EXIT_CODE -eq 0 ]; then
|
| 30 |
+
echo "SFT completed successfully for filtered_threshold_70"
|
| 31 |
+
echo "Filter: filtered_threshold_70 - Completed successfully at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 32 |
+
elif [ $SFT_EXIT_CODE -eq 124 ]; then
|
| 33 |
+
echo "SFT timed out for filtered_threshold_70 (2 hour limit)"
|
| 34 |
+
echo "Filter: filtered_threshold_70 - Timed out at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 35 |
+
else
|
| 36 |
+
echo "SFT failed for filtered_threshold_70 with exit code $SFT_EXIT_CODE"
|
| 37 |
+
echo "Filter: filtered_threshold_70 - Failed with exit code $SFT_EXIT_CODE at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 38 |
+
fi
|
| 39 |
+
|
| 40 |
+
echo "Completed SFT training for filtered_threshold_70"
|
20250922_102503/sft_results/filtered_threshold_70/sft_training_data.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec27750e908bd9740f260fa9a04f9265a537142336a3b231166f3d30901257b5
|
| 3 |
+
size 819802
|
20250922_102503/sft_results/filtered_threshold_70/training_log.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
20250922_102503/sft_results/filtered_threshold_70/training_summary.json
ADDED
|
@@ -0,0 +1,15 @@
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|
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|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"experiment": "simple_sft_training",
|
| 3 |
+
"timestamp": "2025-09-22_10:45:54",
|
| 4 |
+
"model": "Qwen/Qwen2.5-3B",
|
| 5 |
+
"trained_model": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70/global_step_237",
|
| 6 |
+
"train_dataset": "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_70.parquet",
|
| 7 |
+
"test_dataset": "data/big-math_tiny_instruct/test.parquet",
|
| 8 |
+
"test_accuracy": "N/A",
|
| 9 |
+
"hyperparameters": {
|
| 10 |
+
"sft_epochs": 1,
|
| 11 |
+
"sft_batch_size": 4,
|
| 12 |
+
"nproc_per_node": 1
|
| 13 |
+
},
|
| 14 |
+
"output_directory": "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_70"
|
| 15 |
+
}
|
20250922_102503/sft_results/filtered_threshold_80/gpu_lock_wrapper.sh
ADDED
|
@@ -0,0 +1,31 @@
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|
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|
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|
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|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# GPU Lock Wrapper for job: sft_filtered_threshold_80
|
| 3 |
+
# GPUs: [0]
|
| 4 |
+
|
| 5 |
+
# Function to cleanup GPU locks on exit
|
| 6 |
+
cleanup_locks() {
|
| 7 |
+
echo "Cleaning up GPU locks for job: sft_filtered_threshold_80"
|
| 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 = [0]
|
| 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_threshold_80 on GPUs: [0]"
|
| 24 |
+
CUDA_VISIBLE_DEVICES=0 bash checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/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_102503/sft_results/filtered_threshold_80/run_sft_script.sh
ADDED
|
@@ -0,0 +1,40 @@
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
# SFT Job - filtered_threshold_80
|
| 3 |
+
# Generated at: 20250922_102503
|
| 4 |
+
|
| 5 |
+
export TRANSFORMERS_CACHE=/home/greenland-user/verl/checkpoints/huggingface
|
| 6 |
+
export PYTHONHASHSEED=42
|
| 7 |
+
|
| 8 |
+
echo "Starting SFT training for filtered_threshold_80"
|
| 9 |
+
echo "Data file: checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet"
|
| 10 |
+
echo "Output: checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80"
|
| 11 |
+
echo "Model: Qwen/Qwen2.5-3B"
|
| 12 |
+
|
| 13 |
+
# Log experiment start
|
| 14 |
+
echo "Filter: filtered_threshold_80 - Started at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 15 |
+
|
| 16 |
+
# Run SFT training
|
| 17 |
+
bash scripts_cot/run_simple_sft.sh \
|
| 18 |
+
--model_path "Qwen/Qwen2.5-3B" \
|
| 19 |
+
--train_data_path "checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet" \
|
| 20 |
+
--test_data_path "data/big-math_tiny_instruct/test.parquet" \
|
| 21 |
+
--output_dir "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80" \
|
| 22 |
+
--sft_epochs "1" \
|
| 23 |
+
--sft_batch_size "4" \
|
| 24 |
+
--gpu "$CUDA_VISIBLE_DEVICES" \
|
| 25 |
+
2>&1 | tee "checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/training_log.txt"
|
| 26 |
+
|
| 27 |
+
SFT_EXIT_CODE=$?
|
| 28 |
+
|
| 29 |
+
if [ $SFT_EXIT_CODE -eq 0 ]; then
|
| 30 |
+
echo "SFT completed successfully for filtered_threshold_80"
|
| 31 |
+
echo "Filter: filtered_threshold_80 - Completed successfully at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 32 |
+
elif [ $SFT_EXIT_CODE -eq 124 ]; then
|
| 33 |
+
echo "SFT timed out for filtered_threshold_80 (2 hour limit)"
|
| 34 |
+
echo "Filter: filtered_threshold_80 - Timed out at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 35 |
+
else
|
| 36 |
+
echo "SFT failed for filtered_threshold_80 with exit code $SFT_EXIT_CODE"
|
| 37 |
+
echo "Filter: filtered_threshold_80 - Failed with exit code $SFT_EXIT_CODE at $(date)" >> "checkpoints/auc_filtered_sft/20250922_102503/experiment_log.txt"
|
| 38 |
+
fi
|
| 39 |
+
|
| 40 |
+
echo "Completed SFT training for filtered_threshold_80"
|
20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a0d0c451628418bf6e38f02f8af0a1833de686d7e0b2c76c231bbb6485895f1
|
| 3 |
+
size 924071
|
20250922_102503/sft_results/filtered_threshold_80/training_log.txt
ADDED
|
@@ -0,0 +1,109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
==================================================
|
| 2 |
+
Starting Simple SFT Training
|
| 3 |
+
==================================================
|
| 4 |
+
Model: Qwen/Qwen2.5-3B
|
| 5 |
+
Train dataset: checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet
|
| 6 |
+
Test dataset: data/big-math_tiny_instruct/test.parquet
|
| 7 |
+
Output directory: checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80
|
| 8 |
+
SFT epochs: 1
|
| 9 |
+
SFT batch size: 4
|
| 10 |
+
GPU: 0
|
| 11 |
+
==================================================
|
| 12 |
+
Resolved train dataset path: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet
|
| 13 |
+
Resolved test dataset path: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/data/big-math_tiny_instruct/test.parquet
|
| 14 |
+
Using 1 processes per node (GPUs: 0)
|
| 15 |
+
|
| 16 |
+
==================================================
|
| 17 |
+
Step 1: Converting training data for SFT
|
| 18 |
+
==================================================
|
| 19 |
+
Loaded 1068 training examples from /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/filtered_data/filtered_threshold_80.parquet
|
| 20 |
+
Saved 1068 SFT training examples to /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet
|
| 21 |
+
SFT training data saved to: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet
|
| 22 |
+
|
| 23 |
+
==================================================
|
| 24 |
+
Step 2: Running SFT training
|
| 25 |
+
==================================================
|
| 26 |
+
Executing: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/bin/torchrun --standalone --nnodes=1 --nproc_per_node=1 -m verl.trainer.fsdp_sft_trainer data.train_files='/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet' data.val_files='/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet' data.prompt_key=extra_info data.response_key=extra_info +data.prompt_dict_keys=['question'] +data.response_dict_keys=['answer'] data.micro_batch_size_per_gpu=4 data.train_batch_size=4 data.max_length=2048 data.truncation=right +data.apply_chat_template=false model.partial_pretrain='Qwen/Qwen2.5-3B' model.enable_gradient_checkpointing=True model.fsdp_config.cpu_offload=False model.fsdp_config.offload_params=False trainer.default_local_dir='/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80' trainer.project_name=simple-sft trainer.experiment_name=qwen2.5-3b-simple-sft trainer.total_epochs=1 trainer.logger=['console','wandb'] trainer.default_hdfs_dir=null
|
| 27 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/transformers/utils/hub.py:111: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
|
| 28 |
+
warnings.warn(
|
| 29 |
+
INFO 09-22 10:25:26 [__init__.py:239] Automatically detected platform cuda.
|
| 30 |
+
Normalize batch size by dp 1
|
| 31 |
+
Using sequence parallel size: 1
|
| 32 |
+
Using remove padding: False
|
| 33 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/utils/dataset/sft_dataset.py:83: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
|
| 34 |
+
ls = ls[0]
|
| 35 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/utils/dataset/sft_dataset.py:83: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
|
| 36 |
+
ls = ls[0]
|
| 37 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/utils/dataset/sft_dataset.py:83: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
|
| 38 |
+
ls = ls[0]
|
| 39 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/utils/dataset/sft_dataset.py:83: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
|
| 40 |
+
ls = ls[0]
|
| 41 |
+
Using FSDP rank 0 and size 1 for data distribution
|
| 42 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 43 |
+
Flash Attention 2 only supports torch.float16 and torch.bfloat16 dtypes, but the current dype in Qwen2ForCausalLM is torch.float32. You should run training or inference using Automatic Mixed-Precision via the `with torch.autocast(device_type='torch_device'):` decorator, or load the model with the `dtype` argument. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="flash_attention_2", dtype=torch.float16)`
|
| 44 |
+
Flash Attention 2 only supports torch.float16 and torch.bfloat16 dtypes, but the current dype in Qwen2Model is torch.float32. You should run training or inference using Automatic Mixed-Precision via the `with torch.autocast(device_type='torch_device'):` decorator, or load the model with the `dtype` argument. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="flash_attention_2", dtype=torch.float16)`
|
| 45 |
+
|
| 46 |
+
functools.partial(<function _or_policy at 0x7f14cb035240>, policies=[functools.partial(<function transformer_auto_wrap_policy at 0x7f14cb035120>, transformer_layer_cls={<class 'transformers.models.qwen2.modeling_qwen2.Qwen2DecoderLayer'>})])
|
| 47 |
+
/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/fsdp/_init_utils.py:444: UserWarning: FSDP is switching to use `NO_SHARD` instead of ShardingStrategy.FULL_SHARD since the world size is 1.
|
| 48 |
+
warnings.warn(
|
| 49 |
+
NCCL version 2.21.5+cuda12.4
|
| 50 |
+
Number of steps/epoch 267, number of epochs 1, total number of steps 267
|
| 51 |
+
{'data': {'train_batch_size': 4, 'micro_batch_size': None, 'micro_batch_size_per_gpu': 4, 'train_files': '/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet', 'val_files': '/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet', 'prompt_key': 'extra_info', 'response_key': 'extra_info', 'max_length': 2048, 'truncation': 'right', 'balance_dp_token': False, 'num_workers': 8, 'chat_template': None, 'custom_cls': {'path': None}, 'prompt_dict_keys': ['question'], 'response_dict_keys': ['answer'], 'apply_chat_template': False}, 'model': {'partial_pretrain': 'Qwen/Qwen2.5-3B', 'fsdp_config': {'wrap_policy': {'min_num_params': 0}, 'cpu_offload': False, 'offload_params': False}, 'external_lib': None, 'enable_gradient_checkpointing': True, 'trust_remote_code': False, 'lora_rank': 0, 'lora_alpha': 16, 'target_modules': 'all-linear', 'use_liger': False}, 'optim': {'lr': 1e-05, 'betas': [0.9, 0.95], 'weight_decay': 0.01, 'warmup_steps_ratio': 0.1, 'clip_grad': 1.0}, 'ulysses_sequence_parallel_size': 1, 'use_remove_padding': False, 'trainer': {'default_local_dir': '/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80', 'default_hdfs_dir': None, 'resume_path': None, 'project_name': 'simple-sft', 'experiment_name': 'qwen2.5-3b-simple-sft', 'total_epochs': 1, 'total_training_steps': None, 'logger': ['console', 'wandb'], 'seed': 1}}
|
| 52 |
+
wandb: WARNING `start_method` is deprecated and will be removed in a future version of wandb. This setting is currently non-functional and safely ignored.
|
| 53 |
+
WARN: W&B online init failed (api_key not configured (no-tty). call wandb.login(key=[your_api_key])). Falling back to offline mode.
|
| 54 |
+
WARN: W&B offline init also failed (api_key not configured (no-tty). call wandb.login(key=[your_api_key])). Using console logger only.
|
| 55 |
+
Using LocalLogger is deprecated. The constructor API will change
|
| 56 |
+
Using LocalLogger is deprecated. The constructor API will change
|
| 57 |
+
Total training steps: 267
|
| 58 |
+
|
| 59 |
+
Error executing job with overrides: ['data.train_files=/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet', 'data.val_files=/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80/sft_training_data.parquet', 'data.prompt_key=extra_info', 'data.response_key=extra_info', '+data.prompt_dict_keys=[question]', '+data.response_dict_keys=[answer]', 'data.micro_batch_size_per_gpu=4', 'data.train_batch_size=4', 'data.max_length=2048', 'data.truncation=right', '+data.apply_chat_template=false', 'model.partial_pretrain=Qwen/Qwen2.5-3B', 'model.enable_gradient_checkpointing=True', 'model.fsdp_config.cpu_offload=False', 'model.fsdp_config.offload_params=False', 'trainer.default_local_dir=/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/checkpoints/auc_filtered_sft/20250922_102503/sft_results/filtered_threshold_80', 'trainer.project_name=simple-sft', 'trainer.experiment_name=qwen2.5-3b-simple-sft', 'trainer.total_epochs=1', 'trainer.logger=[console,wandb]', 'trainer.default_hdfs_dir=null']
|
| 60 |
+
Traceback (most recent call last):
|
| 61 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/trainer/fsdp_sft_trainer.py", line 529, in main
|
| 62 |
+
trainer.fit()
|
| 63 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/trainer/fsdp_sft_trainer.py", line 472, in fit
|
| 64 |
+
metric = self.training_step(data)
|
| 65 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/verl/verl/trainer/fsdp_sft_trainer.py", line 403, in training_step
|
| 66 |
+
self.optimizer.step()
|
| 67 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/optim/lr_scheduler.py", line 140, in wrapper
|
| 68 |
+
return func.__get__(opt, opt.__class__)(*args, **kwargs)
|
| 69 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/optim/optimizer.py", line 493, in wrapper
|
| 70 |
+
out = func(*args, **kwargs)
|
| 71 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/optim/optimizer.py", line 91, in _use_grad
|
| 72 |
+
ret = func(self, *args, **kwargs)
|
| 73 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/optim/adamw.py", line 232, in step
|
| 74 |
+
has_complex = self._init_group(
|
| 75 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/optim/adamw.py", line 175, in _init_group
|
| 76 |
+
state["exp_avg_sq"] = torch.zeros_like(
|
| 77 |
+
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 296.00 MiB. GPU 0 has a total capacity of 79.11 GiB of which 41.31 MiB is free. Process 146419 has 0 bytes memory in use. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 34.85 GiB is allocated by PyTorch, and 157.05 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
|
| 78 |
+
|
| 79 |
+
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
|
| 80 |
+
E0922 10:26:41.144000 149614 site-packages/torch/distributed/elastic/multiprocessing/api.py:869] failed (exitcode: 1) local_rank: 0 (pid: 149848) of binary: /fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/bin/python3.10
|
| 81 |
+
Traceback (most recent call last):
|
| 82 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/bin/torchrun", line 9, in <module>
|
| 83 |
+
sys.exit(main())
|
| 84 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 355, in wrapper
|
| 85 |
+
return f(*args, **kwargs)
|
| 86 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/run.py", line 918, in main
|
| 87 |
+
run(args)
|
| 88 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/run.py", line 909, in run
|
| 89 |
+
elastic_launch(
|
| 90 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 138, in __call__
|
| 91 |
+
return launch_agent(self._config, self._entrypoint, list(args))
|
| 92 |
+
File "/fsx-sfai/dedicated-fsx-data-repo-pretraining-gl-ap-south-1/shared_experiments/wxpeng/miniconda3/envs/verl_persistent/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 269, in launch_agent
|
| 93 |
+
raise ChildFailedError(
|
| 94 |
+
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
|
| 95 |
+
============================================================
|
| 96 |
+
verl.trainer.fsdp_sft_trainer FAILED
|
| 97 |
+
------------------------------------------------------------
|
| 98 |
+
Failures:
|
| 99 |
+
<NO_OTHER_FAILURES>
|
| 100 |
+
------------------------------------------------------------
|
| 101 |
+
Root Cause (first observed failure):
|
| 102 |
+
[0]:
|
| 103 |
+
time : 2025-09-22_10:26:41
|
| 104 |
+
host : ip-10-1-111-168.ap-south-1.compute.internal
|
| 105 |
+
rank : 0 (local_rank: 0)
|
| 106 |
+
exitcode : 1 (pid: 149848)
|
| 107 |
+
error_file: <N/A>
|
| 108 |
+
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
|
| 109 |
+
============================================================
|