developer_uid: shiroe40
submission_id: cycy233-l3-ss-v0-c1_v1
model_name: auto
model_group: cycy233/L3-ss-v0-c1
status: torndown
timestamp: 2024-08-13T02:23:46+00:00
num_battles: 10606
num_wins: 5004
celo_rating: 1193.25
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-ss-v0-c1
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-ss-v0-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-12
win_ratio: 0.47180841033377335
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}
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}
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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ss-v0-c1-v1-mkmlizer
Waiting for job on cycy233-l3-ss-v0-c1-v1-mkmlizer to finish
Stopping job with name cycy233-l3-ss-v0-c1-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name cycy233-l3-ss-v0-c1-v1-mkmlizer
Waiting for job on cycy233-l3-ss-v0-c1-v1-mkmlizer to finish
cycy233-l3-ss-v0-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ ║
cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ss-v0-c1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-ss-v0-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-v0-c1-v1-mkmlizer: Downloaded to shared memory in 30.915s
cycy233-l3-ss-v0-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx1hga36g, device:0
cycy233-l3-ss-v0-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-v0-c1-v1-mkmlizer: quantized model in 27.808s
cycy233-l3-ss-v0-c1-v1-mkmlizer: Processed model cycy233/L3-ss-v0-c1 in 58.723s
cycy233-l3-ss-v0-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-v0-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-v0-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-v0-c1-v1
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-v0-c1-v1/tokenizer.json
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ss-v0-c1-v1/flywheel_model.0.safetensors
cycy233-l3-ss-v0-c1-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ss-v0-c1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:08, 33.81it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:05, 53.95it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:04, 59.59it/s] Loading 0: 11%|█ | 31/291 [00:00<00:04, 62.35it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 63.09it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:03, 66.19it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:03, 69.09it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:03, 72.76it/s] Loading 0: 26%|██▌ | 76/291 [00:01<00:02, 76.01it/s] Loading 0: 29%|██▉ | 84/291 [00:02<00:10, 19.80it/s] Loading 0: 31%|███ | 90/291 [00:02<00:09, 22.17it/s] Loading 0: 33%|███▎ | 97/291 [00:02<00:07, 26.20it/s] Loading 0: 36%|███▋ | 106/291 [00:02<00:05, 32.87it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:04, 39.26it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:03, 45.03it/s] Loading 0: 46%|████▌ | 133/291 [00:03<00:03, 50.00it/s] Loading 0: 49%|████▉ | 142/291 [00:03<00:02, 55.18it/s] Loading 0: 52%|█████▏ | 151/291 [00:03<00:02, 58.07it/s] Loading 0: 55%|█████▍ | 160/291 [00:03<00:02, 62.40it/s] Loading 0: 58%|█████▊ | 169/291 [00:03<00:01, 65.31it/s] Loading 0: 61%|██████ | 178/291 [00:03<00:01, 67.25it/s] Loading 0: 64%|██████▍ | 187/291 [00:04<00:05, 19.29it/s] Loading 0: 67%|██████▋ | 196/291 [00:05<00:03, 24.46it/s] Loading 0: 70%|███████ | 205/291 [00:05<00:02, 30.67it/s] Loading 0: 74%|███████▎ | 214/291 [00:05<00:02, 36.99it/s] Loading 0: 77%|███████▋ | 223/291 [00:05<00:01, 43.10it/s] Loading 0: 80%|███████▉ | 232/291 [00:05<00:01, 48.56it/s] Loading 0: 83%|████████▎ | 241/291 [00:05<00:00, 54.36it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 59.58it/s] Loading 0: 89%|████████▉ | 259/291 [00:05<00:00, 63.93it/s] Loading 0: 92%|█████████▏| 268/291 [00:06<00:00, 66.37it/s] Loading 0: 95%|█████████▌| 277/291 [00:06<00:00, 68.66it/s] Loading 0: 98%|█████████▊| 286/291 [00:06<00:00, 68.90it/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-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c1-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-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c1-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-c1-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-v0-c1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-v0-c1-v1-mkmlizer: Saving duration: 1.509s
cycy233-l3-ss-v0-c1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.049s
cycy233-l3-ss-v0-c1-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-v0-c1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-v0-c1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward/special_tokens_map.json
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward/config.json
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward/tokenizer_config.json
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward/merges.txt
cycy233-l3-ss-v0-c1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ss-v0-c1-v1_reward/reward.tensors
Job cycy233-l3-ss-v0-c1-v1-mkmlizer completed after 114.49s with status: succeeded
Stopping job with name cycy233-l3-ss-v0-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.04s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-v0-c1-v1
Waiting for inference service cycy233-l3-ss-v0-c1-v1 to be ready
Inference service cycy233-l3-ss-v0-c1-v1 ready after 211.20950484275818s
Pipeline stage ISVCDeployer completed in 212.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3767459392547607s
Received healthy response to inference request in 1.5210387706756592s
Received healthy response to inference request in 1.4843595027923584s
Received healthy response to inference request in 1.468479871749878s
Received healthy response to inference request in 1.602818250656128s
5 requests
0 failed requests
5th percentile: 1.471655797958374
10th percentile: 1.47483172416687
20th percentile: 1.4811835765838623
30th percentile: 1.4916953563690185
40th percentile: 1.506367063522339
50th percentile: 1.5210387706756592
60th percentile: 1.5537505626678467
70th percentile: 1.5864623546600343
80th percentile: 1.7576037883758546
90th percentile: 2.067174863815308
95th percentile: 2.221960401535034
99th percentile: 2.3457888317108155
mean time: 1.690688467025757
Pipeline stage StressChecker completed in 9.13s
cycy233-l3-ss-v0-c1_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ss-v0-c1_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-v0-c1_v1 status is now torndown due to DeploymentManager action