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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1111.1 seconds

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INFO:root:Found 64. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1028.3 seconds

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INFO:root:Found 128. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1260.9 seconds

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INFO:root:Found 192. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1382.8 seconds

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INFO:root:Found 256. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1443.6 seconds

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INFO:root:Found 320. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1162.3 seconds

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INFO:root:Found 384. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1064.8 seconds

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INFO:root:Found 448. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 976.4 seconds

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INFO:root:Found 512. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1286.4 seconds

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INFO:root:Found 576. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Model memory: 15.020343296 GB
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INFO:root:Time for 64 completions: 748.1 seconds

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INFO:root:Found 704. Only generating 64 .
INFO:root:Using `huggingface_local_completions` on 64 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 64 completions: 1000.2 seconds

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INFO:root:Found 768. Only generating 37 .
INFO:root:Using `huggingface_local_completions` on 37 prompts using /media/hangyu5/Home/Documents/Hugging-Face/LM_cocktail/LMCocktail-7B-v1.


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INFO:root:Model memory: 15.020343296 GB
INFO:root:Kwargs to completion: {'do_sample': True, 'model_kwargs': {'torch_dtype': torch.bfloat16, 'device_map': 'auto'}, 'batch_size': 1, 'max_new_tokens': 2048, 'temperature': 0.7, 'top_p': 1.0}


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INFO:root:Time for 37 completions: 819.0 seconds

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INFO:root:Evaluating the LMCocktail-7B-v1 outputs.
INFO:root:Creating the annotator from `chatgpt_fn`.
INFO:root:Saving annotations to `/home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json`.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:   0%|          | 0/7 [00:00<?, ?it/s]INFO:root:Annotating 128 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 128 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:httpx:HTTP Request: POST https://api.openai-proxy.org/v1/chat/completions "HTTP/1.1 200 OK"


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INFO:root:Completed 128 examples in 36.5 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  14%|█▍        | 1/7 [00:36<03:41, 36.98s/it]INFO:root:Annotating 127 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 127 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 127 examples in 31.2 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  29%|██▊       | 2/7 [01:08<02:49, 33.83s/it]INFO:root:Annotating 128 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 128 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 128 examples in 31.8 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  43%|████▎     | 3/7 [01:40<02:12, 33.09s/it]INFO:root:Annotating 128 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 128 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 128 examples in 34.9 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  57%|█████▋    | 4/7 [02:16<01:41, 34.00s/it]INFO:root:Annotating 127 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 127 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 127 examples in 32.4 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  71%|███████▏  | 5/7 [02:49<01:07, 33.58s/it]INFO:root:Annotating 128 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 128 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 128 examples in 30.9 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk:  86%|████████▌ | 6/7 [03:20<00:32, 32.81s/it]INFO:root:Annotating 37 examples with chatgpt_fn
INFO:root:Using `openai_completions` on 37 prompts using gpt-3.5-turbo-16k-0613.
INFO:root:Kwargs to completion: {'n': 1, 'model': 'gpt-3.5-turbo-16k-0613', 'is_chat': True, 'temperature': 0, 'function_call': {'name': 'print_best_model'}, 'functions': [{'name': 'print_best_model', 'description': 'Print the best model given the preferred output.', 'parameters': {'type': 'object', 'properties': {'best_output': {'type': 'string', 'description': "Name of the best output, should be 'Output (a)' or 'Output (b)'"}}}, 'required': ['best_output']}]}. num_procs=5


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INFO:root:Completed 37 examples in 9.8 seconds.
INFO:root:Saving all annotations to /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.
INFO:root:Loading all annotations from /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/evaluators_configs/chatgpt_fn/annotations_seed0_configs.json.

Annotation chunk: 100%|██████████| 7/7 [03:30<00:00, 25.42s/it]
Annotation chunk: 100%|██████████| 7/7 [03:30<00:00, 30.08s/it]
/home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/metrics.py:26: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '1.5' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
  series_preferences[series_preferences == 0] = 1.5
INFO:root:Saving all results to output/chatgpt_fn_--LMCocktail-7B-v1
INFO:root:Saving result to the precomputed leaderboard at /home/hangyu5/Documents/Git-repoMy/AIResearchVault/repo/LLM-infrastructure/alpaca_eval/src/alpaca_eval/leaderboards/data_AlpacaEval/chatgpt_fn_leaderboard.csv
                       win_rate  standard_error  n_total  avg_length
gpt4                      73.79            1.54      805        1365
LMCocktail-7B-v1          73.54            1.55      805        1870
claude                    70.37            1.60      805        1082
chatgpt                   66.09            1.66      805         811
wizardlm-13b              65.16            1.67      805         985
vicuna-13b                64.10            1.69      805        1037
guanaco-65b               62.36            1.71      805        1249
oasst-rlhf-llama-33b      62.05            1.71      805        1079
alpaca-farm-ppo-human     60.25            1.72      805         803
falcon-40b-instruct       56.52            1.74      805         662
text_davinci_003          50.00            0.00      805         307
alpaca-7b                 45.22            1.74      805         396
text_davinci_001          28.07            1.56      805         296
