submission_id: cycy233-l3-ss-v0-c4_v1
developer_uid: shiroe40
alignment_samples: 10522
alignment_score: -0.2808791170223661
best_of: 16
celo_rating: 1195.74
display_name: auto
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: False
language_model: cycy233/L3-ss-v0-c4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ss-v0-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ss-v0-c4
model_size: 8B
num_battles: 10522
num_wins: 5007
propriety_score: 0.6912751677852349
propriety_total_count: 894.0
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-13T02:24:31+00:00
us_pacific_date: 2024-08-12
win_ratio: 0.4758601026420832
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ss-v0-c4-v1-mkmlizer
Waiting for job on cycy233-l3-ss-v0-c4-v1-mkmlizer to finish
cycy233-l3-ss-v0-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3-ss-v0-c4-v1-mkmlizer: ║ ║
cycy233-l3-ss-v0-c4-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-ss-v0-c4-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cycy233-l3-ss-v0-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-v0-c4-v1-mkmlizer: Downloaded to shared memory in 29.917s
cycy233-l3-ss-v0-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp71rr8qcv, device:0
cycy233-l3-ss-v0-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-v0-c4-v1-mkmlizer: quantized model in 26.159s
cycy233-l3-ss-v0-c4-v1-mkmlizer: Processed model cycy233/L3-ss-v0-c4 in 56.076s
cycy233-l3-ss-v0-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-v0-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1/config.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1/special_tokens_map.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1/tokenizer_config.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1/tokenizer.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ss-v0-c4-v1/flywheel_model.0.safetensors
cycy233-l3-ss-v0-c4-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ss-v0-c4-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 7/291 [00:00<00:06, 46.22it/s] Loading 0: 5%|▌ | 16/291 [00:00<00:04, 66.67it/s] Loading 0: 9%|▊ | 25/291 [00:00<00:03, 74.07it/s] Loading 0: 12%|█▏ | 34/291 [00:00<00:03, 78.38it/s] Loading 0: 15%|█▍ | 43/291 [00:00<00:03, 80.95it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:02, 80.47it/s] Loading 0: 21%|██ | 61/291 [00:00<00:02, 81.40it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:02, 80.27it/s] Loading 0: 27%|██▋ | 79/291 [00:01<00:02, 82.62it/s] Loading 0: 30%|███ | 88/291 [00:02<00:09, 20.44it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:07, 26.73it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:04, 38.72it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 44.91it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:03, 50.33it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 56.67it/s] Loading 0: 51%|█████ | 148/291 [00:02<00:02, 62.83it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 67.98it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:01, 72.91it/s] Loading 0: 60%|██████ | 175/291 [00:03<00:01, 75.50it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 77.99it/s] Loading 0: 66%|██████▋ | 193/291 [00:04<00:04, 21.18it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:03, 26.96it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:02, 33.15it/s] Loading 0: 76%|███████▋ | 222/291 [00:04<00:01, 43.55it/s] Loading 0: 80%|███████▉ | 232/291 [00:04<00:01, 49.16it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 55.82it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 62.25it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 67.62it/s] Loading 0: 92%|█████████▏| 268/291 [00:05<00:00, 69.60it/s] Loading 0: 95%|█████████▌| 277/291 [00:05<00:00, 71.66it/s] Loading 0: 98%|█████████▊| 286/291 [00:05<00:00, 73.34it/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.
cycy233-l3-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c4-v1-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.
cycy233-l3-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c4-v1-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.
cycy233-l3-ss-v0-c4-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c4-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-v0-c4-v1-mkmlizer: Saving duration: 1.407s
cycy233-l3-ss-v0-c4-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.072s
cycy233-l3-ss-v0-c4-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-v0-c4-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/special_tokens_map.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/tokenizer_config.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/config.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/merges.txt
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/vocab.json
cycy233-l3-ss-v0-c4-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c4-v1_reward/tokenizer.json
Job cycy233-l3-ss-v0-c4-v1-mkmlizer completed after 105.08s with status: succeeded
Stopping job with name cycy233-l3-ss-v0-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.25s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-v0-c4-v1
Waiting for inference service cycy233-l3-ss-v0-c4-v1 to be ready
Inference service cycy233-l3-ss-v0-c4-v1 ready after 211.25476121902466s
Pipeline stage ISVCDeployer completed in 213.14s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4896347522735596s
Received healthy response to inference request in 1.5162239074707031s
Received healthy response to inference request in 1.4690618515014648s
Received healthy response to inference request in 1.4731411933898926s
Received healthy response to inference request in 1.5482375621795654s
5 requests
0 failed requests
5th percentile: 1.4698777198791504
10th percentile: 1.470693588256836
20th percentile: 1.472325325012207
30th percentile: 1.4817577362060548
40th percentile: 1.498990821838379
50th percentile: 1.5162239074707031
60th percentile: 1.529029369354248
70th percentile: 1.541834831237793
80th percentile: 1.7365170001983645
90th percentile: 2.113075876235962
95th percentile: 2.3013553142547605
99th percentile: 2.4519788646697998
mean time: 1.6992598533630372
Pipeline stage StressChecker completed in 9.18s
cycy233-l3-ss-v0-c4_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ss-v0-c4_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-v0-c4_v1 status is now torndown due to DeploymentManager action

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