axolotl-ai-co-romulus-mi_7539

submission_id: axolotl-ai-co-romulus-mi_7539_v3
developer_uid: Azazelle
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.07, 'top_k': 1024, 'presence_penalty': 0.03, 'frequency_penalty': 0.01, 'stopping_words': ['\n', '\n\n', 'You:', '<|im_end|>', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 1024}
model_name: romulus-mistral-nemo-12b-simpo
model_repo: axolotl-ai-co/romulus-mistral-nemo-12b-simpo
reward_formatter: {'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
timestamp: 2024-07-30T00:40:45+00:00
Resubmit model
Running pipeline stage MKMLizer
Starting job with name axolotl-ai-co-romulus-mi-7539-v3-mkmlizer
Waiting for job on axolotl-ai-co-romulus-mi-7539-v3-mkmlizer to finish
Stopping job with name axolotl-ai-co-romulus-mi-7539-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name axolotl-ai-co-romulus-mi-7539-v3-mkmlizer
Waiting for job on axolotl-ai-co-romulus-mi-7539-v3-mkmlizer to finish
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║     _____            __           __                                ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║       /___/                                                         ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║                                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  Version: 0.9.7                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  https://mk1.ai                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║                                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  belonging to:                                                      ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║                                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  Chai Research Corp.                                                ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ║                                                                     ║
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Downloaded to shared memory in 33.016s
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_yji3cld, device:0
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: quantized model in 35.625s
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Processed model axolotl-ai-co/romulus-mistral-nemo-12b-simpo in 68.641s
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: creating bucket guanaco-mkml-models
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3/config.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3/special_tokens_map.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3/tokenizer_config.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3/tokenizer.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/axolotl-ai-co-romulus-mi-7539-v3/flywheel_model.0.safetensors
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:10, 32.75it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 52.23it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 46.77it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 44.62it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 50.29it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 46.87it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 45.18it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:07, 43.54it/s]
Loading 0:  15%|█▍        | 53/363 [00:01<00:07, 44.10it/s]
Loading 0:  16%|█▋        | 59/363 [00:01<00:06, 48.10it/s]
Loading 0:  18%|█▊        | 64/363 [00:01<00:10, 27.86it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:08, 36.24it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:07, 36.58it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:07, 37.80it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 42.56it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 41.47it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:06, 42.52it/s]
Loading 0:  29%|██▉       | 105/363 [00:02<00:06, 41.22it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 45.42it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 43.59it/s]
Loading 0:  34%|███▍      | 123/363 [00:02<00:05, 42.19it/s]
Loading 0:  35%|███▌      | 128/363 [00:03<00:05, 41.74it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 45.45it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:04, 44.94it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:08, 26.99it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 29.84it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 37.36it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 39.15it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:04, 40.69it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 40.47it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 40.29it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 44.04it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:03, 44.37it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:03, 44.40it/s]
Loading 0:  55%|█████▍    | 198/363 [00:04<00:03, 45.23it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 37.30it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 44.96it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 44.97it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 45.89it/s]
Loading 0:  62%|██████▏   | 225/363 [00:05<00:04, 27.87it/s]
Loading 0:  63%|██████▎   | 230/363 [00:05<00:04, 30.36it/s]
Loading 0:  65%|██████▌   | 237/363 [00:05<00:03, 36.54it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 38.35it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:02, 39.89it/s]
Loading 0:  70%|██████▉   | 253/363 [00:06<00:02, 39.79it/s]
Loading 0:  71%|███████   | 258/363 [00:06<00:02, 39.51it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 44.10it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 44.42it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:02, 43.90it/s]
Loading 0:  77%|███████▋  | 279/363 [00:06<00:01, 45.40it/s]
Loading 0:  78%|███████▊  | 284/363 [00:07<00:02, 37.66it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 45.14it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 44.62it/s]
Loading 0:  83%|████████▎ | 302/363 [00:07<00:01, 48.34it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:20,  2.68it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:15,  3.40it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:07,  5.46it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:05,  7.36it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:03,  9.33it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 13.19it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:01, 16.59it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 19.72it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 25.94it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 29.34it/s]
                                                            
/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer:   warnings.warn(
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer:   warnings.warn(
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer:   warnings.warn(
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Saving duration: 0.325s
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.883s
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: creating bucket guanaco-reward-models
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/config.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/special_tokens_map.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/tokenizer_config.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/merges.txt
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/vocab.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/tokenizer.json
axolotl-ai-co-romulus-mi-7539-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/axolotl-ai-co-romulus-mi-7539-v3_reward/reward.tensors
Job axolotl-ai-co-romulus-mi-7539-v3-mkmlizer completed after 104.77s with status: succeeded
Stopping job with name axolotl-ai-co-romulus-mi-7539-v3-mkmlizer
Pipeline stage MKMLizer completed in 106.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service axolotl-ai-co-romulus-mi-7539-v3
Waiting for inference service axolotl-ai-co-romulus-mi-7539-v3 to be ready
Tearing down inference service axolotl-ai-co-romulus-mi-7539-v3
%s, retrying in %s seconds...
Creating inference service axolotl-ai-co-romulus-mi-7539-v3
Waiting for inference service axolotl-ai-co-romulus-mi-7539-v3 to be ready
Tearing down inference service axolotl-ai-co-romulus-mi-7539-v3
%s, retrying in %s seconds...
Creating inference service axolotl-ai-co-romulus-mi-7539-v3
Waiting for inference service axolotl-ai-co-romulus-mi-7539-v3 to be ready
Tearing down inference service axolotl-ai-co-romulus-mi-7539-v3
DeploymentError("'status'")
axolotl-ai-co-romulus-mi_7539_v3 status is now failed due to DeploymentManager action
admin requested tearing down of axolotl-ai-co-romulus-mi_7539_v3
Running pipeline stage ISVCDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage ISVCDeleter completed in 0.19s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key axolotl-ai-co-romulus-mi-7539-v3/config.json from bucket guanaco-mkml-models
Deleting key axolotl-ai-co-romulus-mi-7539-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key axolotl-ai-co-romulus-mi-7539-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key axolotl-ai-co-romulus-mi-7539-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key axolotl-ai-co-romulus-mi-7539-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Pipeline stage MKMLModelDeleter completed in 2.35s
axolotl-ai-co-romulus-mi_7539_v3 status is now torndown due to DeploymentManager action