File size: 20,099 Bytes
8717f59 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 | 2026-07-23:22:03:14 WARNING [config.evaluate_config:287] --limit SHOULD ONLY BE USED FOR TESTING. REAL METRICS SHOULD NOT BE COMPUTED USING LIMIT.
2026-07-23:22:03:21 INFO [_cli.run:388] Selected Tasks: ['mmlu_pro', 'gpqa_diamond_zeroshot', 'minerva_math500', 'ifeval', 'gsm8k_cot_zeroshot']
2026-07-23:22:03:23 INFO [evaluator:214] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2026-07-23:22:03:23 WARNING [evaluator:226] generation_kwargs: {'max_gen_toks': 1280} specified through cli, these settings will update set parameters in yaml tasks. Ensure 'do_sample=True' for non-greedy decoding!
2026-07-23:22:03:23 INFO [evaluator:239] Initializing local-chat-completions model, with arguments: {'model': 'student', 'base_url': 'http://127.0.0.1:8399/v1/chat/completions', 'num_concurrent': 32, 'tokenized_requests': False, 'max_retries': 3}
2026-07-23:22:03:23 INFO [models.api_models:179] Using max length 2048 - 1
2026-07-23:22:03:23 INFO [models.api_models:200] Using tokenizer None
2026-07-23:22:03:38 INFO [evaluator_utils:446] Selected tasks:
2026-07-23:22:03:38 INFO [evaluator_utils:462] Group: mmlu_pro
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_biology (mmlu_pro/mmlu_pro_biology.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_business (mmlu_pro/mmlu_pro_business.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_chemistry (mmlu_pro/mmlu_pro_chemistry.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_computer_science (mmlu_pro/mmlu_pro_computer_science.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_economics (mmlu_pro/mmlu_pro_economics.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_engineering (mmlu_pro/mmlu_pro_engineering.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_health (mmlu_pro/mmlu_pro_health.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_history (mmlu_pro/mmlu_pro_history.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_law (mmlu_pro/mmlu_pro_law.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_math (mmlu_pro/mmlu_pro_math.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_other (mmlu_pro/mmlu_pro_other.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_philosophy (mmlu_pro/mmlu_pro_philosophy.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_physics (mmlu_pro/mmlu_pro_physics.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:470] Task: mmlu_pro_psychology (mmlu_pro/mmlu_pro_psychology.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:480] Task: gpqa_diamond_zeroshot (gpqa/zeroshot/gpqa_diamond_zeroshot.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:480] Task: gsm8k_cot_zeroshot (gsm8k/gsm8k-cot-zeroshot.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:480] Task: ifeval (ifeval/ifeval.yaml)
2026-07-23:22:03:38 INFO [evaluator_utils:480] Task: minerva_math500 (minerva_math/minerva_math500.yaml)
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_biology: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_business: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_chemistry: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_computer_science: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_economics: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_engineering: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_health: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_history: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_law: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_math: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_other: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_philosophy: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_physics: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] mmlu_pro_psychology: Using gen_kwargs: {'until': ['Question:'], 'max_gen_toks': 1280, 'do_sample': False, 'temperature': 0.0}
2026-07-23:22:03:38 INFO [evaluator:314] minerva_math500: Using gen_kwargs: {'until': ['Problem:'], 'do_sample': False, 'temperature': 0.0, 'max_gen_toks': 1280}
2026-07-23:22:03:38 INFO [evaluator:314] ifeval: Using gen_kwargs: {'until': [], 'do_sample': False, 'temperature': 0.0, 'max_gen_toks': 1280}
2026-07-23:22:03:38 INFO [evaluator:314] gsm8k_cot_zeroshot: Using gen_kwargs: {'until': ['Q:', '</s>', '<|im_end|>'], 'do_sample': False, 'max_gen_toks': 1280}
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_biology on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 2818.56it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_business on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3266.34it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_chemistry on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3143.92it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_computer_science on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3098.40it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_economics on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3152.19it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_engineering on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3118.44it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_health on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3194.93it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_history on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 2920.82it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_law on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3091.55it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_math on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3118.67it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_other on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3178.47it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_philosophy on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3224.16it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_physics on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3251.65it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for mmlu_pro_psychology on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 3155.98it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for gpqa_diamond_zeroshot on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 1607.07it/s]
2026-07-23:22:03:38 INFO [api.task:312] Building contexts for minerva_math500 on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 397.11it/s]
2026-07-23:22:03:39 INFO [api.task:312] Building contexts for ifeval on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 54330.36it/s]
2026-07-23:22:03:39 INFO [api.task:312] Building contexts for gsm8k_cot_zeroshot on rank 0...
0%| | 0/10 [00:00<?, ?it/s]
100%|██████████| 10/10 [00:00<00:00, 1762.24it/s]
2026-07-23:22:03:39 INFO [evaluator:585] Running generate_until requests
2026-07-23:22:03:39 INFO [models.api_models:747] Tokenized requests are disabled. Context + generation length is not checked.
Requesting API: 0%| | 0/140 [00:00<?, ?it/s]
Requesting API: 1%| | 1/140 [00:04<09:19, 4.03s/it]
Requesting API: 3%|▎ | 4/140 [00:04<02:04, 1.09it/s]
Requesting API: 4%|▎ | 5/140 [00:04<01:40, 1.35it/s]
Requesting API: 4%|▍ | 6/140 [00:05<01:32, 1.44it/s]
Requesting API: 5%|▌ | 7/140 [00:05<01:16, 1.74it/s]
Requesting API: 6%|▋ | 9/140 [00:06<00:49, 2.64it/s]
Requesting API: 7%|▋ | 10/140 [00:06<00:55, 2.35it/s]
Requesting API: 9%|▊ | 12/140 [00:06<00:39, 3.23it/s]
Requesting API: 10%|█ | 14/140 [00:07<00:31, 4.04it/s]
Requesting API: 11%|█ | 15/140 [00:07<00:31, 3.91it/s]
Requesting API: 12%|█▏ | 17/140 [00:07<00:26, 4.70it/s]
Requesting API: 13%|█▎ | 18/140 [00:08<00:35, 3.48it/s]
Requesting API: 14%|█▎ | 19/140 [00:08<00:34, 3.49it/s]
Requesting API: 16%|█▌ | 22/140 [00:08<00:22, 5.23it/s]
Requesting API: 16%|█▋ | 23/140 [00:09<00:24, 4.79it/s]
Requesting API: 17%|█▋ | 24/140 [00:09<00:26, 4.44it/s]
Requesting API: 19%|█▉ | 27/140 [00:10<00:23, 4.82it/s]
Requesting API: 20%|██ | 28/140 [00:10<00:30, 3.64it/s]
Requesting API: 22%|██▏ | 31/140 [00:11<00:25, 4.23it/s]
Requesting API: 24%|██▎ | 33/140 [00:11<00:22, 4.79it/s]
Requesting API: 25%|██▌ | 35/140 [00:11<00:19, 5.29it/s]
Requesting API: 27%|██▋ | 38/140 [00:11<00:15, 6.55it/s]
Requesting API: 29%|██▉ | 41/140 [00:12<00:13, 7.59it/s]
Requesting API: 30%|███ | 42/140 [00:12<00:15, 6.50it/s]
Requesting API: 31%|███ | 43/140 [00:12<00:17, 5.67it/s]
Requesting API: 31%|███▏ | 44/140 [00:13<00:18, 5.07it/s]
Requesting API: 32%|███▏ | 45/140 [00:13<00:20, 4.63it/s]
Requesting API: 33%|███▎ | 46/140 [00:14<00:34, 2.72it/s]
Requesting API: 34%|███▎ | 47/140 [00:14<00:32, 2.88it/s]
Requesting API: 35%|███▌ | 49/140 [00:15<00:34, 2.61it/s]
Requesting API: 37%|███▋ | 52/140 [00:15<00:21, 4.05it/s]
Requesting API: 38%|███▊ | 53/140 [00:15<00:22, 3.92it/s]
Requesting API: 40%|████ | 56/140 [00:16<00:15, 5.41it/s]
Requesting API: 41%|████ | 57/140 [00:16<00:16, 4.95it/s]
Requesting API: 41%|████▏ | 58/140 [00:17<00:22, 3.61it/s]
Requesting API: 42%|████▏ | 59/140 [00:17<00:27, 2.91it/s]
Requesting API: 43%|████▎ | 60/140 [00:19<00:54, 1.48it/s]
Requesting API: 44%|████▎ | 61/140 [00:19<00:45, 1.73it/s]
Requesting API: 45%|████▌ | 63/140 [00:20<00:35, 2.19it/s]
Requesting API: 46%|████▋ | 65/140 [00:20<00:25, 2.94it/s]
Requesting API: 47%|████▋ | 66/140 [00:21<00:39, 1.87it/s]
Requesting API: 50%|█████ | 70/140 [00:22<00:20, 3.47it/s]
Requesting API: 51%|█████▏ | 72/140 [00:22<00:19, 3.45it/s]
Requesting API: 54%|█████▎ | 75/140 [00:23<00:14, 4.60it/s]
Requesting API: 54%|█████▍ | 76/140 [00:23<00:14, 4.38it/s]
Requesting API: 56%|█████▋ | 79/140 [00:24<00:17, 3.46it/s]
Requesting API: 57%|█████▋ | 80/140 [00:24<00:17, 3.52it/s]
Requesting API: 59%|█████▊ | 82/140 [00:25<00:16, 3.50it/s]
Requesting API: 59%|█████▉ | 83/140 [00:25<00:14, 3.83it/s]
Requesting API: 61%|██████ | 85/140 [00:25<00:12, 4.52it/s]
Requesting API: 62%|██████▏ | 87/140 [00:26<00:11, 4.57it/s]
Requesting API: 63%|██████▎ | 88/140 [00:26<00:13, 3.86it/s]
Requesting API: 64%|██████▍ | 90/140 [00:26<00:10, 4.56it/s]
Requesting API: 65%|██████▌ | 91/140 [00:27<00:12, 3.82it/s]
Requesting API: 66%|██████▋ | 93/140 [00:27<00:09, 4.83it/s]
Requesting API: 69%|██████▊ | 96/140 [00:27<00:07, 5.81it/s]
Requesting API: 69%|██████▉ | 97/140 [00:28<00:08, 5.20it/s]
Requesting API: 70%|███████ | 98/140 [00:28<00:11, 3.73it/s]
Requesting API: 71%|███████ | 99/140 [00:29<00:10, 3.82it/s]
Requesting API: 76%|███████▌ | 106/140 [00:29<00:04, 7.12it/s]
Requesting API: 76%|███████▋ | 107/140 [00:29<00:05, 6.30it/s]
Requesting API: 77%|███████▋ | 108/140 [00:30<00:05, 5.62it/s]
Requesting API: 78%|███████▊ | 109/140 [00:30<00:07, 4.03it/s]
Requesting API: 79%|███████▉ | 111/140 [00:31<00:06, 4.83it/s]
Requesting API: 81%|████████ | 113/140 [00:31<00:04, 5.83it/s]
Requesting API: 83%|████████▎ | 116/140 [00:31<00:03, 7.78it/s]
Requesting API: 84%|████████▎ | 117/140 [00:31<00:02, 8.07it/s]
Requesting API: 85%|████████▌ | 119/140 [00:31<00:02, 9.94it/s]
Requesting API: 86%|████████▋ | 121/140 [00:31<00:01, 9.96it/s]
Requesting API: 88%|████████▊ | 123/140 [00:32<00:01, 10.03it/s]
Requesting API: 90%|█████████ | 126/140 [00:32<00:01, 10.07it/s]
Requesting API: 91%|█████████▏| 128/140 [00:32<00:01, 7.95it/s]
Requesting API: 92%|█████████▏| 129/140 [00:33<00:02, 5.04it/s]
Requesting API: 93%|█████████▎| 130/140 [00:33<00:02, 4.30it/s]
Requesting API: 94%|█████████▎| 131/140 [00:34<00:02, 4.09it/s]
Requesting API: 94%|█████████▍| 132/140 [00:34<00:02, 3.96it/s]
Requesting API: 95%|█████████▌| 133/140 [00:34<00:01, 3.86it/s]
Requesting API: 96%|█████████▋| 135/140 [00:35<00:01, 3.74it/s]
Requesting API: 97%|█████████▋| 136/140 [00:36<00:02, 2.00it/s]
Requesting API: 98%|█████████▊| 137/140 [00:37<00:02, 1.49it/s]
Requesting API: 99%|█████████▊| 138/140 [00:37<00:01, 1.68it/s]
Requesting API: 99%|█████████▉| 139/140 [00:41<00:01, 1.32s/it]
Requesting API: 100%|██████████| 140/140 [00:48<00:00, 2.99s/it]
Requesting API: 100%|██████████| 140/140 [00:48<00:00, 2.88it/s]
Requesting API: 0%| | 0/10 [00:00<?, ?it/s]
Requesting API: 10%|█ | 1/10 [00:00<00:05, 1.56it/s]
Requesting API: 30%|███ | 3/10 [00:00<00:01, 3.72it/s]
Requesting API: 50%|█████ | 5/10 [00:01<00:01, 4.67it/s]
Requesting API: 100%|██████████| 10/10 [00:01<00:00, 10.09it/s]
Requesting API: 100%|██████████| 10/10 [00:01<00:00, 7.01it/s]
Requesting API: 0%| | 0/10 [00:00<?, ?it/s]
Requesting API: 10%|█ | 1/10 [00:00<00:07, 1.17it/s]
Requesting API: 20%|██ | 2/10 [00:03<00:16, 2.09s/it]
Requesting API: 30%|███ | 3/10 [00:05<00:11, 1.71s/it]
Requesting API: 40%|████ | 4/10 [00:10<00:18, 3.09s/it]
Requesting API: 50%|█████ | 5/10 [00:20<00:28, 5.76s/it]
Requesting API: 60%|██████ | 6/10 [00:32<00:31, 7.86s/it]
Requesting API: 70%|███████ | 7/10 [01:54<01:36, 32.04s/it]
Requesting API: 100%|██████████| 10/10 [01:54<00:00, 11.45s/it]
Requesting API: 0%| | 0/10 [00:00<?, ?it/s]
Requesting API: 10%|█ | 1/10 [00:00<00:04, 2.07it/s]
Requesting API: 40%|████ | 4/10 [00:01<00:01, 3.51it/s]
Requesting API: 60%|██████ | 6/10 [00:11<00:09, 2.48s/it]
Requesting API: 70%|███████ | 7/10 [00:12<00:05, 1.95s/it]
Requesting API: 80%|████████ | 8/10 [00:21<00:07, 3.90s/it]
Requesting API: 90%|█████████ | 9/10 [01:02<00:13, 13.69s/it]
Requesting API: 100%|██████████| 10/10 [01:53<00:00, 23.90s/it]
Requesting API: 100%|██████████| 10/10 [01:53<00:00, 11.33s/it]
2026-07-23:22:08:16 INFO [evaluator:585] Running loglikelihood requests
Traceback (most recent call last):
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/bin/lm_eval", line 10, in <module>
sys.exit(cli_evaluate())
^^^^^^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/__main__.py", line 10, in cli_evaluate
parser.execute(args)
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/_cli/harness.py", line 60, in execute
args.func(args)
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/_cli/run.py", line 391, in _execute
results = simple_evaluate(
^^^^^^^^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/utils.py", line 575, in _wrapper
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/evaluator.py", line 358, in simple_evaluate
results = evaluate(
^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/utils.py", line 575, in _wrapper
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/evaluator.py", line 596, in evaluate
resps = getattr(lm, reqtype)(cloned_reqs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/henry/Documents/PythonProjects/variable-reap/.venv/lib/python3.12/site-packages/lm_eval/models/openai_completions.py", line 239, in loglikelihood
raise NotImplementedError(
NotImplementedError: Loglikelihood is not supported for chat completions. Consider using the completions API instead.
|