submission_id: setiaku-run1-dare-ties_v1
developer_uid: sao10k
status: inactive
model_repo: Setiaku/Run1-Dare-Ties
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.12, 'top_p': 1.0, 'min_p': 0.075, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n,', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nThis is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically.', 'prompt_template': 'Example Conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>[{bot_name}]<|end_header_id|>\n\n{message}<|eot_id|>', 'user_template': '<|start_header_id|>[{user_name}]<|end_header_id|>\n\n{message}<|eot_id|>', 'response_template': '<|start_header_id|>[{bot_name}]<|end_header_id|>\n\n', 'truncate_by_message': True}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-05-28T11:52:25+00:00
model_name: L3-Run-1-Formatted-Test
model_eval_status: success
model_group: Setiaku/Run1-Dare-Ties
num_battles: 7129
num_wins: 3839
celo_rating: 1203.11
safety_score: 0.91
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: L3-Run-1-Formatted-Test
ineligible_reason: propriety_total_count < 5000
language_model: Setiaku/Run1-Dare-Ties
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-28
win_ratio: 0.5385046991162856
Resubmit model
Running pipeline stage MKMLizer
Starting job with name setiaku-run1-dare-ties-v1-mkmlizer
Waiting for job on setiaku-run1-dare-ties-v1-mkmlizer to finish
setiaku-run1-dare-ties-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
setiaku-run1-dare-ties-v1-mkmlizer: ║ _____ __ __ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /___/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Version: 0.8.14 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ https://mk1.ai ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ The license key for the current software has been verified as ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ belonging to: ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Chai Research Corp. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
setiaku-run1-dare-ties-v1-mkmlizer: Downloaded to shared memory in 56.539s
setiaku-run1-dare-ties-v1-mkmlizer: quantizing model to /dev/shm/model_cache
setiaku-run1-dare-ties-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
setiaku-run1-dare-ties-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:40, 2.42s/it] Loading 0: 3%|▎ | 10/291 [00:04<01:44, 2.69it/s] Loading 0: 8%|▊ | 22/291 [00:05<00:37, 7.22it/s] Loading 0: 11%|█ | 32/291 [00:05<00:21, 11.98it/s] Loading 0: 14%|█▍ | 42/291 [00:05<00:13, 17.81it/s] Loading 0: 19%|█▊ | 54/291 [00:05<00:08, 26.73it/s] Loading 0: 22%|██▏ | 63/291 [00:05<00:10, 22.37it/s] Loading 0: 25%|██▌ | 73/291 [00:06<00:07, 29.59it/s] Loading 0: 29%|██▊ | 83/291 [00:06<00:05, 38.01it/s] Loading 0: 32%|███▏ | 94/291 [00:06<00:04, 48.38it/s] Loading 0: 36%|███▌ | 105/291 [00:06<00:03, 57.10it/s] Loading 0: 42%|████▏ | 121/291 [00:06<00:02, 74.48it/s] Loading 0: 45%|████▌ | 132/291 [00:06<00:02, 77.17it/s] Loading 0: 50%|█████ | 146/291 [00:06<00:01, 90.71it/s] Loading 0: 54%|█████▍ | 158/291 [00:06<00:01, 94.09it/s] Loading 0: 58%|█████▊ | 169/291 [00:07<00:02, 47.05it/s] Loading 0: 62%|██████▏ | 180/291 [00:07<00:01, 55.71it/s] Loading 0: 65%|██████▌ | 190/291 [00:07<00:01, 62.85it/s] Loading 0: 69%|██████▉ | 202/291 [00:07<00:01, 70.74it/s] Loading 0: 73%|███████▎ | 212/291 [00:07<00:01, 73.29it/s] Loading 0: 76%|███████▋ | 222/291 [00:07<00:00, 75.62it/s] Loading 0: 80%|████████ | 233/291 [00:08<00:00, 83.45it/s] Loading 0: 85%|████████▍ | 247/291 [00:08<00:00, 93.24it/s] Loading 0: 89%|████████▊ | 258/291 [00:08<00:00, 92.07it/s] Loading 0: 92%|█████████▏| 268/291 [00:08<00:00, 52.47it/s] Loading 0: 96%|█████████▌| 279/291 [00:08<00:00, 61.58it/s] Loading 0: 99%|█████████▉| 289/291 [00:08<00:00, 68.73it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
setiaku-run1-dare-ties-v1-mkmlizer: quantized model in 26.272s
setiaku-run1-dare-ties-v1-mkmlizer: Processed model Setiaku/Run1-Dare-Ties in 85.806s
setiaku-run1-dare-ties-v1-mkmlizer: creating bucket guanaco-mkml-models
setiaku-run1-dare-ties-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
setiaku-run1-dare-ties-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/special_tokens_map.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/tokenizer_config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/tokenizer.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/flywheel_model.0.safetensors
setiaku-run1-dare-ties-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: Traceback (most recent call last):
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 174, in _new_conn
setiaku-run1-dare-ties-v1-mkmlizer: conn = connection.create_connection(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/connection.py", line 72, in create_connection
setiaku-run1-dare-ties-v1-mkmlizer: for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/socket.py", line 955, in getaddrinfo
setiaku-run1-dare-ties-v1-mkmlizer: for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
setiaku-run1-dare-ties-v1-mkmlizer: socket.gaierror: [Errno -3] Temporary failure in name resolution
setiaku-run1-dare-ties-v1-mkmlizer: During handling of the above exception, another exception occurred:
setiaku-run1-dare-ties-v1-mkmlizer: Traceback (most recent call last):
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 714, in urlopen
setiaku-run1-dare-ties-v1-mkmlizer: httplib_response = self._make_request(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 403, in _make_request
setiaku-run1-dare-ties-v1-mkmlizer: self._validate_conn(conn)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1053, in _validate_conn
setiaku-run1-dare-ties-v1-mkmlizer: conn.connect()
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 363, in connect
setiaku-run1-dare-ties-v1-mkmlizer: self.sock = conn = self._new_conn()
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 186, in _new_conn
setiaku-run1-dare-ties-v1-mkmlizer: raise NewConnectionError(
setiaku-run1-dare-ties-v1-mkmlizer: urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x7f352bcfe8f0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution
setiaku-run1-dare-ties-v1-mkmlizer: During handling of the above exception, another exception occurred:
setiaku-run1-dare-ties-v1-mkmlizer: Traceback (most recent call last):
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 486, in send
setiaku-run1-dare-ties-v1-mkmlizer: resp = conn.urlopen(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 798, in urlopen
setiaku-run1-dare-ties-v1-mkmlizer: retries = retries.increment(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 592, in increment
setiaku-run1-dare-ties-v1-mkmlizer: raise MaxRetryError(_pool, url, error or ResponseError(cause))
setiaku-run1-dare-ties-v1-mkmlizer: urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='cdn-lfs-us-1.huggingface.co', port=443): Max retries exceeded with url: /repos/dc/b4/49cb0beb9d88e612ee4c9/f485ab2daabd6cfb584d1f5dbe44415c4037052562040fbb665d9d465a3487f2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27pytorch_model.bin%3B+filename%3D%22pytorch_model.bin%22%3B&response-content-type=application%2Foctet-stream&Expires=1717156449&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNzE1NjQ0OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2RjL2I0L2RjYjQ0YWZmYTFmYTZkOWY2YWZlMGNhZjg2ZDM4ODJlMzljNGMzZTZiOWE0OWNiMGJlYjlkODhlNjEyZWU0YzkvZjQ4NWFiMmRhYWJkNmNmYjU4NGQxZjVkYmU0NDQxNWM0MDM3MDUyNTYyMDQwZmJiNjY1ZDlkNDY1YTM0ODdmMj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=UlkDvFsm7D0apdX8mF3en0m3hyVIu0YuSfHYUHf3hTL5ukPnxcUrB1IK9ZPwOMfbQyKerM2Y1v1tb6FyT23Ou1ZOSVdDx9R5BhJZy3CLrD75FxEAN6ZNT4ag95NsCnPw25Oejb9~4iLIPNbxJu1htkHw2OZ9XcA2cYtyNxuaTKAyCaZ0r4GkobNG2okYPXp0cFu9UrrVIKmj5b6CyuBrnT2zcf~lQXd9CbNFeUH0~LaAUtEvIU5R3Za3IRw6GgxBhGm-u9c8Bv2BuXK6JS3u6XRHsD7K1dOVyZpdGg3JuiBalM~x9fnDAMANB74boqILwUW-j0nMit-cQIbmMnM-Tw__&Key-Pair-Id=KCD77M1F0VK2B (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f352bcfe8f0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))
setiaku-run1-dare-ties-v1-mkmlizer: During handling of the above exception, another exception occurred:
setiaku-run1-dare-ties-v1-mkmlizer: Traceback (most recent call last):
setiaku-run1-dare-ties-v1-mkmlizer: File "/code/uploading/reward.py", line 66, in <module>
setiaku-run1-dare-ties-v1-mkmlizer: cli()
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
setiaku-run1-dare-ties-v1-mkmlizer: return self.main(*args, **kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
setiaku-run1-dare-ties-v1-mkmlizer: rv = self.invoke(ctx)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
setiaku-run1-dare-ties-v1-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
setiaku-run1-dare-ties-v1-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
setiaku-run1-dare-ties-v1-mkmlizer: return __callback(*args, **kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/code/uploading/reward.py", line 29, in tensorize_reward_model
setiaku-run1-dare-ties-v1-mkmlizer: model, config, tokenizer = download_from_huggingface(repo_id, revision, hf_auth_token)
setiaku-run1-dare-ties-v1-mkmlizer: File "/code/uploading/reward.py", line 44, in download_from_huggingface
setiaku-run1-dare-ties-v1-mkmlizer: model = AutoModelForSequenceClassification.from_pretrained(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 563, in from_pretrained
setiaku-run1-dare-ties-v1-mkmlizer: return model_class.from_pretrained(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py", line 3335, in from_pretrained
setiaku-run1-dare-ties-v1-mkmlizer: resolved_archive_file = cached_file(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/transformers/utils/hub.py", line 398, in cached_file
setiaku-run1-dare-ties-v1-mkmlizer: resolved_file = hf_hub_download(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
setiaku-run1-dare-ties-v1-mkmlizer: return fn(*args, **kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
setiaku-run1-dare-ties-v1-mkmlizer: http_get(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 456, in http_get
setiaku-run1-dare-ties-v1-mkmlizer: r = _request_wrapper(
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 392, in _request_wrapper
setiaku-run1-dare-ties-v1-mkmlizer: response = get_session().request(method=method, url=url, **params)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
setiaku-run1-dare-ties-v1-mkmlizer: resp = self.send(prep, **send_kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
setiaku-run1-dare-ties-v1-mkmlizer: r = adapter.send(request, **kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 68, in send
setiaku-run1-dare-ties-v1-mkmlizer: return super().send(request, *args, **kwargs)
setiaku-run1-dare-ties-v1-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 519, in send
setiaku-run1-dare-ties-v1-mkmlizer: raise ConnectionError(e, request=request)
setiaku-run1-dare-ties-v1-mkmlizer: requests.exceptions.ConnectionError: (MaxRetryError("HTTPSConnectionPool(host='cdn-lfs-us-1.huggingface.co', port=443): Max retries exceeded with url: /repos/dc/b4/49cb0beb9d88e612ee4c9/f485ab2daabd6cfb584d1f5dbe44415c4037052562040fbb665d9d465a3487f2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27pytorch_model.bin%3B+filename%3D%22pytorch_model.bin%22%3B&response-content-type=application%2Foctet-stream&Expires=1717156449&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNzE1NjQ0OX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2RjL2I0L2RjYjQ0YWZmYTFmYTZkOWY2YWZlMGNhZjg2ZDM4ODJlMzljNGMzZTZiOWE0OWNiMGJlYjlkODhlNjEyZWU0YzkvZjQ4NWFiMmRhYWJkNmNmYjU4NGQxZjVkYmU0NDQxNWM0MDM3MDUyNTYyMDQwZmJiNjY1ZDlkNDY1YTM0ODdmMj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=UlkDvFsm7D0apdX8mF3en0m3hyVIu0YuSfHYUHf3hTL5ukPnxcUrB1IK9ZPwOMfbQyKerM2Y1v1tb6FyT23Ou1ZOSVdDx9R5BhJZy3CLrD75FxEAN6ZNT4ag95NsCnPw25Oejb9~4iLIPNbxJu1htkHw2OZ9XcA2cYtyNxuaTKAyCaZ0r4GkobNG2okYPXp0cFu9UrrVIKmj5b6CyuBrnT2zcf~lQXd9CbNFeUH0~LaAUtEvIU5R3Za3IRw6GgxBhGm-u9c8Bv2BuXK6JS3u6XRHsD7K1dOVyZpdGg3JuiBalM~x9fnDAMANB74boqILwUW-j0nMit-cQIbmMnM-Tw__&Key-Pair-Id=KCD77M1F0VK2B (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f352bcfe8f0>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))"), '(Request ID: aac4b061-4b2f-466d-af7c-e9b28a76eb4f)')
setiaku-run1-dare-ties-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
setiaku-run1-dare-ties-v1-mkmlizer: ║ _____ __ __ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /___/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Version: 0.8.14 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ https://mk1.ai ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ The license key for the current software has been verified as ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ belonging to: ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Chai Research Corp. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
Job setiaku-run1-dare-ties-v1-mkmlizer completed after 128.34s with status: failed
Stopping job with name setiaku-run1-dare-ties-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name setiaku-run1-dare-ties-v1-mkmlizer
Waiting for job on setiaku-run1-dare-ties-v1-mkmlizer to finish
setiaku-run1-dare-ties-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
setiaku-run1-dare-ties-v1-mkmlizer: ║ _____ __ __ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ /___/ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Version: 0.8.14 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ https://mk1.ai ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ The license key for the current software has been verified as ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ belonging to: ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Chai Research Corp. ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
setiaku-run1-dare-ties-v1-mkmlizer: ║ ║
setiaku-run1-dare-ties-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
setiaku-run1-dare-ties-v1-mkmlizer: Downloaded to shared memory in 17.159s
setiaku-run1-dare-ties-v1-mkmlizer: quantizing model to /dev/shm/model_cache
setiaku-run1-dare-ties-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
setiaku-run1-dare-ties-v1-mkmlizer: unable to retrieve container logs for containerd://bc1a87229e32b721246b0
setiaku-run1-dare-ties-v1-mkmlizer: Downloaded to shared memory in 41.956s
setiaku-run1-dare-ties-v1-mkmlizer: quantizing model to /dev/shm/model_cache
setiaku-run1-dare-ties-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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setiaku-run1-dare-ties-v1-mkmlizer: quantized model in 25.031s
setiaku-run1-dare-ties-v1-mkmlizer: Processed model Setiaku/Run1-Dare-Ties in 69.786s
setiaku-run1-dare-ties-v1-mkmlizer: creating bucket guanaco-mkml-models
setiaku-run1-dare-ties-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
setiaku-run1-dare-ties-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/special_tokens_map.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/tokenizer_config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/tokenizer.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/setiaku-run1-dare-ties-v1/flywheel_model.0.safetensors
setiaku-run1-dare-ties-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
setiaku-run1-dare-ties-v1-mkmlizer: warnings.warn(
setiaku-run1-dare-ties-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
setiaku-run1-dare-ties-v1-mkmlizer: return self.fget.__get__(instance, owner)()
setiaku-run1-dare-ties-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
setiaku-run1-dare-ties-v1-mkmlizer: Saving duration: 0.504s
setiaku-run1-dare-ties-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 23.718s
setiaku-run1-dare-ties-v1-mkmlizer: creating bucket guanaco-reward-models
setiaku-run1-dare-ties-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
setiaku-run1-dare-ties-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/tokenizer_config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/special_tokens_map.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/merges.txt
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/config.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/vocab.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/tokenizer.json
setiaku-run1-dare-ties-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/setiaku-run1-dare-ties-v1_reward/reward.tensors
Job setiaku-run1-dare-ties-v1-mkmlizer completed after 140.16s with status: succeeded
Stopping job with name setiaku-run1-dare-ties-v1-mkmlizer
Pipeline stage MKMLizer completed in 269.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service setiaku-run1-dare-ties-v1
Waiting for inference service setiaku-run1-dare-ties-v1 to be ready
Inference service setiaku-run1-dare-ties-v1 ready after 50.266209840774536s
Pipeline stage ISVCDeployer completed in 56.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.342534065246582s
Received healthy response to inference request in 1.255824327468872s
Received healthy response to inference request in 1.3756020069122314s
Received healthy response to inference request in 1.310593605041504s
Received healthy response to inference request in 1.3038532733917236s
5 requests
0 failed requests
5th percentile: 1.2654301166534423
10th percentile: 1.2750359058380127
20th percentile: 1.2942474842071534
30th percentile: 1.3052013397216797
40th percentile: 1.3078974723815917
50th percentile: 1.310593605041504
60th percentile: 1.336596965789795
70th percentile: 1.362600326538086
80th percentile: 1.5689884185791017
90th percentile: 1.9557612419128418
95th percentile: 2.149147653579712
99th percentile: 2.303856782913208
mean time: 1.5176814556121827
Pipeline stage StressChecker completed in 8.75s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
setiaku-run1-dare-ties_v1 status is now deployed due to DeploymentManager action
setiaku-run1-dare-ties_v1 status is now inactive due to auto deactivation removed underperforming models

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