rica40325-feedback-dpo-4

submission_id: rica40325-feedback-dpo-4_v1

developer_uid: rica40325

alignment_samples: 10561

alignment_score: 3.318379819792869

best_of: 16

celo_rating: 1189.16

display_name: rica40325-feedback-dpo-3_v1

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}

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: rica40325/feedback_dpo_4

latencies: [{'batch_size': 1, 'throughput': 0.9027680256882555, 'latency_mean': 1.107609111070633, 'latency_p50': 1.0976582765579224, 'latency_p90': 1.2391404151916503}, {'batch_size': 4, 'throughput': 1.8170574698256783, 'latency_mean': 2.191092023849487, 'latency_p50': 2.1950433254241943, 'latency_p90': 2.476663374900818}, {'batch_size': 5, 'throughput': 1.887394080722377, 'latency_mean': 2.638492429256439, 'latency_p50': 2.631482481956482, 'latency_p90': 3.0082469463348387}, {'batch_size': 8, 'throughput': 1.9995815151572656, 'latency_mean': 3.965621778964996, 'latency_p50': 4.003111481666565, 'latency_p90': 4.393641257286072}, {'batch_size': 10, 'throughput': 2.049538369689923, 'latency_mean': 4.832852920293808, 'latency_p50': 4.869986534118652, 'latency_p90': 5.4795584917068485}, {'batch_size': 12, 'throughput': 2.045695256595043, 'latency_mean': 5.781234443187714, 'latency_p50': 5.808630466461182, 'latency_p90': 6.74863531589508}, {'batch_size': 15, 'throughput': 2.027660035271186, 'latency_mean': 7.249342604875564, 'latency_p50': 7.414177060127258, 'latency_p90': 8.03191704750061}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: rica40325/feedback_dpo_4

model_name: rica40325-feedback-dpo-3_v1

model_num_parameters: 8030261248.0

model_repo: rica40325/feedback_dpo_4

model_size: 8B

num_battles: 10561

num_wins: 4646

propriety_score: 0.7918367346938775

propriety_total_count: 980.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 2.0

timestamp: 2024-09-10T07:14:49+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.4399204620774548

Download Preference Data

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name rica40325-feedback-dpo-4-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-4-v1-mkmlizer to finish
rica40325-feedback-dpo-4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-4-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-dpo-4-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
rica40325-feedback-dpo-4-v1-mkmlizer: Downloaded to shared memory in 35.806s
rica40325-feedback-dpo-4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5tlo_f44, device:0
rica40325-feedback-dpo-4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-4-v1-mkmlizer: quantized model in 25.435s
rica40325-feedback-dpo-4-v1-mkmlizer: Processed model rica40325/feedback_dpo_4 in 61.242s
rica40325-feedback-dpo-4-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1
rica40325-feedback-dpo-4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1/config.json
rica40325-feedback-dpo-4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1/special_tokens_map.json
rica40325-feedback-dpo-4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1/tokenizer_config.json
rica40325-feedback-dpo-4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1/tokenizer.json
rica40325-feedback-dpo-4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-4-v1/flywheel_model.0.safetensors
rica40325-feedback-dpo-4-v1-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 4/291 [00:00<00:07, 38.32it/s]
Loading 0:   5%|▌         | 15/291 [00:00<00:03, 79.67it/s]
Loading 0:   9%|▊         | 25/291 [00:00<00:03, 74.21it/s]
Loading 0:  14%|█▎        | 40/291 [00:00<00:02, 83.68it/s]
Loading 0:  18%|█▊        | 51/291 [00:00<00:02, 91.24it/s]
Loading 0:  21%|██        | 61/291 [00:00<00:02, 84.58it/s]
Loading 0:  26%|██▌       | 76/291 [00:00<00:02, 91.87it/s]
Loading 0:  30%|██▉       | 86/291 [00:02<00:07, 25.64it/s]
Loading 0:  33%|███▎      | 97/291 [00:02<00:06, 32.09it/s]
Loading 0:  37%|███▋      | 107/291 [00:02<00:04, 39.71it/s]
Loading 0:  42%|████▏     | 121/291 [00:02<00:03, 50.73it/s]
Loading 0:  46%|████▌     | 133/291 [00:02<00:02, 58.20it/s]
Loading 0:  49%|████▉     | 143/291 [00:02<00:02, 65.44it/s]
Loading 0:  54%|█████▍    | 157/291 [00:02<00:01, 74.13it/s]
Loading 0:  57%|█████▋    | 167/291 [00:02<00:01, 79.36it/s]
Loading 0:  61%|██████    | 177/291 [00:02<00:01, 81.87it/s]
Loading 0:  64%|██████▍   | 187/291 [00:04<00:04, 24.70it/s]
Loading 0:  69%|██████▉   | 202/291 [00:04<00:02, 34.87it/s]
Loading 0:  74%|███████▎  | 214/291 [00:04<00:01, 42.45it/s]
Loading 0:  79%|███████▊  | 229/291 [00:04<00:01, 53.39it/s]
Loading 0:  83%|████████▎ | 241/291 [00:04<00:00, 58.93it/s]
Loading 0:  88%|████████▊ | 256/291 [00:04<00:00, 69.20it/s]
Loading 0:  91%|█████████▏| 266/291 [00:04<00:00, 74.51it/s]
Loading 0:  95%|█████████▌| 277/291 [00:05<00:00, 73.94it/s]
Loading 0:  98%|█████████▊| 286/291 [00:05<00:00, 76.53it/s]
                                                            
Job rica40325-feedback-dpo-4-v1-mkmlizer completed after 85.44s with status: succeeded
Stopping job with name rica40325-feedback-dpo-4-v1-mkmlizer
Pipeline stage MKMLizer completed in 86.16s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.07s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service rica40325-feedback-dpo-4-v1
Waiting for inference service rica40325-feedback-dpo-4-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission rica40325-feedback-dpo-2_v2: ('http://rica40325-feedback-dpo-2-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:43054->127.0.0.1:8080: read: connection reset by peer\n')
Inference service rica40325-feedback-dpo-4-v1 ready after 160.65001559257507s
Pipeline stage MKMLDeployer completed in 160.99s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8962476253509521s
Received healthy response to inference request in 1.533670425415039s
Received healthy response to inference request in 1.7101540565490723s
Received healthy response to inference request in 1.4511709213256836s
Received healthy response to inference request in 1.3350317478179932s
5 requests
0 failed requests
5th percentile: 1.3582595825195312
10th percentile: 1.3814874172210694
20th percentile: 1.4279430866241456
30th percentile: 1.4676708221435546
40th percentile: 1.5006706237792968
50th percentile: 1.533670425415039
60th percentile: 1.6042638778686524
70th percentile: 1.6748573303222656
80th percentile: 1.7473727703094484
90th percentile: 1.8218101978302002
95th percentile: 1.859028911590576
99th percentile: 1.8888038825988769
mean time: 1.585254955291748
Pipeline stage StressChecker completed in 8.64s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.30s
Shutdown handler de-registered
rica40325-feedback-dpo-4_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service rica40325-feedback-dpo-4-v1-profiler
Waiting for inference service rica40325-feedback-dpo-4-v1-profiler to be ready
Inference service rica40325-feedback-dpo-4-v1-profiler ready after 150.35318446159363s
Pipeline stage MKMLProfilerDeployer completed in 150.73s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-4-v1-profiler-predictor-00001-deploh86mg:/code/chaiverse_profiler_1725952943 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-4-v1-profiler-predictor-00001-deploh86mg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725952943 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725952943/summary.json'
kubectl exec -it rica40325-feedback-dpo-4-v1-profiler-predictor-00001-deploh86mg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725952943/summary.json'
Pipeline stage MKMLProfilerRunner completed in 836.90s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-feedback-dpo-4-v1-profiler is running
Tearing down inference service rica40325-feedback-dpo-4-v1-profiler
Service rica40325-feedback-dpo-4-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.78s
Shutdown handler de-registered
rica40325-feedback-dpo-4_v1 status is now inactive due to auto deactivation removed underperforming models