Running pipeline stage MKMLizer
Starting job with name cycy233-l3-duduk-v0-e2-0-v1-mkmlizer
Waiting for job on cycy233-l3-duduk-v0-e2-0-v1-mkmlizer to finish
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ /___/ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ║ ║
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-duduk-v0-e2-0-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.
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Downloaded to shared memory in 31.243s
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer:
Loading 0: 0%| | 0/291 [00:00<?, ?it/s]
Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 68.55it/s]
Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 80.33it/s]
Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 116.48it/s]
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: quantized model in 24.293s
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Processed model cycy233/L3-duduk-v0-e2.0 in 58.056s
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1/tokenizer_config.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1/config.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1/special_tokens_map.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1/tokenizer.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-duduk-v0-e2-0-v1/flywheel_model.0.safetensors
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-duduk-v0-e2-0-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.
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: warnings.warn(
cycy233-l3-duduk-v0-e2-0-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.
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: warnings.warn(
cycy233-l3-duduk-v0-e2-0-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.
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: warnings.warn(
cycy233-l3-duduk-v0-e2-0-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()
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Saving duration: 0.401s
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.367s
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/special_tokens_map.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/merges.txt
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/vocab.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/config.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/tokenizer_config.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/tokenizer.json
cycy233-l3-duduk-v0-e2-0-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-duduk-v0-e2-0-v1_reward/reward.tensors
Job cycy233-l3-duduk-v0-e2-0-v1-mkmlizer completed after 85.75s with status: succeeded
Stopping job with name cycy233-l3-duduk-v0-e2-0-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.31s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-duduk-v0-e2-0-v1
Waiting for inference service cycy233-l3-duduk-v0-e2-0-v1 to be ready
Inference service cycy233-l3-duduk-v0-e2-0-v1 ready after 241.51090002059937s
Pipeline stage ISVCDeployer completed in 248.76s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1507208347320557s
Received healthy response to inference request in 1.3091349601745605s
Received healthy response to inference request in 1.612929344177246s
Received healthy response to inference request in 1.9628779888153076s
Received healthy response to inference request in 1.3295166492462158s
5 requests
0 failed requests
5th percentile: 1.3132112979888917
10th percentile: 1.3172876358032226
20th percentile: 1.3254403114318847
30th percentile: 1.3861991882324218
40th percentile: 1.499564266204834
50th percentile: 1.612929344177246
60th percentile: 1.7529088020324708
70th percentile: 1.8928882598876953
80th percentile: 2.0004465579986572
90th percentile: 2.0755836963653564
95th percentile: 2.113152265548706
99th percentile: 2.1432071208953856
mean time: 1.6730359554290772
Pipeline stage StressChecker completed in 9.09s
cycy233-l3-duduk-v0-e2-0_v1 status is now deployed due to DeploymentManager action
cycy233-l3-duduk-v0-e2-0_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-duduk-v0-e2-0_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-duduk-v0-e2-0-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.50s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-duduk-v0-e2-0-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-duduk-v0-e2-0-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.36s
cycy233-l3-duduk-v0-e2-0_v1 status is now torndown due to DeploymentManager action