Text Generation
Transformers
Safetensors
qwen3
Generated from Trainer
trl
sft
conversational
text-generation-inference
Instructions to use cs-552-2026-aaty/math_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cs-552-2026-aaty/math_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cs-552-2026-aaty/math_model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cs-552-2026-aaty/math_model") model = AutoModelForCausalLM.from_pretrained("cs-552-2026-aaty/math_model") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cs-552-2026-aaty/math_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cs-552-2026-aaty/math_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-aaty/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/cs-552-2026-aaty/math_model
- SGLang
How to use cs-552-2026-aaty/math_model with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "cs-552-2026-aaty/math_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-aaty/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "cs-552-2026-aaty/math_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cs-552-2026-aaty/math_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use cs-552-2026-aaty/math_model with Docker Model Runner:
docker model run hf.co/cs-552-2026-aaty/math_model
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.3888888888888888, | |
| "eval_steps": 500, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3453125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2711.7, | |
| "completions/mean_length": 3878.6890625, | |
| "completions/mean_terminated_length": 1619.041455078125, | |
| "completions/min_length": 609.9, | |
| "completions/min_terminated_length": 609.9, | |
| "entropy": 0.5342199512757361, | |
| "epoch": 0.027777777777777776, | |
| "frac_reward_zero_std": 0.275, | |
| "grad_norm": 0.2434006631374359, | |
| "learning_rate": 3e-07, | |
| "loss": -0.0252, | |
| "num_tokens": 2530705.0, | |
| "reward": 0.3828125, | |
| "reward_std": 0.4778271645307541, | |
| "rewards/reward_correct/mean": 0.3828125, | |
| "rewards/reward_correct/std": 0.47782717645168304, | |
| "sampling/importance_sampling_ratio/max": 2.229939651489258, | |
| "sampling/importance_sampling_ratio/mean": 0.28947882503271105, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 20.731588554382324, | |
| "sampling/sampling_logp_difference/mean": 0.042482714727520944, | |
| "step": 10, | |
| "step_time": 97.8341444697231 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.296875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2827.0, | |
| "completions/mean_length": 3604.1640625, | |
| "completions/mean_terminated_length": 1672.880029296875, | |
| "completions/min_length": 578.1, | |
| "completions/min_terminated_length": 578.1, | |
| "entropy": 0.5231569674331695, | |
| "epoch": 0.05555555555555555, | |
| "frac_reward_zero_std": 0.175, | |
| "grad_norm": 0.1266385316848755, | |
| "learning_rate": 6.333333333333332e-07, | |
| "loss": -0.0326, | |
| "num_tokens": 4884674.0, | |
| "reward": 0.4109375, | |
| "reward_std": 0.47415409684181214, | |
| "rewards/reward_correct/mean": 0.4109375, | |
| "rewards/reward_correct/std": 0.4741541087627411, | |
| "sampling/importance_sampling_ratio/max": 2.4683921217918394, | |
| "sampling/importance_sampling_ratio/mean": 0.3206924065947533, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 19.872397041320802, | |
| "sampling/sampling_logp_difference/mean": 0.04122307561337948, | |
| "step": 20, | |
| "step_time": 91.14647748004646 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.284375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2853.0, | |
| "completions/mean_length": 3462.8375, | |
| "completions/mean_terminated_length": 1606.2551391601562, | |
| "completions/min_length": 553.3, | |
| "completions/min_terminated_length": 553.3, | |
| "entropy": 0.489674887387082, | |
| "epoch": 0.08333333333333333, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.10141309350728989, | |
| "learning_rate": 9.666666666666666e-07, | |
| "loss": -0.0178, | |
| "num_tokens": 7152210.0, | |
| "reward": 0.45, | |
| "reward_std": 0.4725195735692978, | |
| "rewards/reward_correct/mean": 0.45, | |
| "rewards/reward_correct/std": 0.47251958549022677, | |
| "sampling/importance_sampling_ratio/max": 2.1169467091560366, | |
| "sampling/importance_sampling_ratio/mean": 0.3329242721199989, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.969456291198732, | |
| "sampling/sampling_logp_difference/mean": 0.03882257957011461, | |
| "step": 30, | |
| "step_time": 89.79702748470008 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.4125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2707.2, | |
| "completions/mean_length": 4290.6703125, | |
| "completions/mean_terminated_length": 1551.9008666992188, | |
| "completions/min_length": 537.6, | |
| "completions/min_terminated_length": 537.6, | |
| "entropy": 0.5838452530559153, | |
| "epoch": 0.1111111111111111, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.11795759201049805, | |
| "learning_rate": 9.997876019358083e-07, | |
| "loss": -0.0185, | |
| "num_tokens": 9945431.0, | |
| "reward": 0.3640625, | |
| "reward_std": 0.4712675392627716, | |
| "rewards/reward_correct/mean": 0.3640625, | |
| "rewards/reward_correct/std": 0.471267557144165, | |
| "sampling/importance_sampling_ratio/max": 2.536797857284546, | |
| "sampling/importance_sampling_ratio/mean": 0.29656108319759367, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.390139389038087, | |
| "sampling/sampling_logp_difference/mean": 0.04604039713740349, | |
| "step": 40, | |
| "step_time": 104.82241893839091 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3453125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2767.5, | |
| "completions/mean_length": 3832.1796875, | |
| "completions/mean_terminated_length": 1559.965576171875, | |
| "completions/min_length": 624.6, | |
| "completions/min_terminated_length": 624.6, | |
| "entropy": 0.5342930512968451, | |
| "epoch": 0.1388888888888889, | |
| "frac_reward_zero_std": 0.3125, | |
| "grad_norm": 1.948204517364502, | |
| "learning_rate": 9.990536180750723e-07, | |
| "loss": -0.0307, | |
| "num_tokens": 12443042.0, | |
| "reward": 0.403125, | |
| "reward_std": 0.4718716889619827, | |
| "rewards/reward_correct/mean": 0.403125, | |
| "rewards/reward_correct/std": 0.4718716889619827, | |
| "sampling/importance_sampling_ratio/max": 2.631464684009552, | |
| "sampling/importance_sampling_ratio/mean": 0.3282940939068794, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.956416893005372, | |
| "sampling/sampling_logp_difference/mean": 0.045470394939184186, | |
| "step": 50, | |
| "step_time": 96.40531954467296 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.353125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2789.8, | |
| "completions/mean_length": 3885.1921875, | |
| "completions/mean_terminated_length": 1538.73271484375, | |
| "completions/min_length": 554.3, | |
| "completions/min_terminated_length": 554.3, | |
| "entropy": 0.5527781342156232, | |
| "epoch": 0.16666666666666666, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.2698710858821869, | |
| "learning_rate": 9.97796195883804e-07, | |
| "loss": -0.0329, | |
| "num_tokens": 14976877.0, | |
| "reward": 0.4359375, | |
| "reward_std": 0.4925714761018753, | |
| "rewards/reward_correct/mean": 0.4359375, | |
| "rewards/reward_correct/std": 0.49257148802280426, | |
| "sampling/importance_sampling_ratio/max": 2.5233256936073305, | |
| "sampling/importance_sampling_ratio/mean": 0.32925176024436953, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.101856422424316, | |
| "sampling/sampling_logp_difference/mean": 0.04616186544299126, | |
| "step": 60, | |
| "step_time": 97.68703336380422 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.346875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2801.9, | |
| "completions/mean_length": 3842.059375, | |
| "completions/mean_terminated_length": 1533.8720336914062, | |
| "completions/min_length": 606.3, | |
| "completions/min_terminated_length": 606.3, | |
| "entropy": 0.5389381644781679, | |
| "epoch": 0.19444444444444445, | |
| "frac_reward_zero_std": 0.275, | |
| "grad_norm": 0.1625521332025528, | |
| "learning_rate": 9.960166542242428e-07, | |
| "loss": -0.0281, | |
| "num_tokens": 17480451.0, | |
| "reward": 0.4265625, | |
| "reward_std": 0.4911981523036957, | |
| "rewards/reward_correct/mean": 0.4265625, | |
| "rewards/reward_correct/std": 0.49119815826416013, | |
| "sampling/importance_sampling_ratio/max": 2.4373825907707216, | |
| "sampling/importance_sampling_ratio/mean": 0.32550778836011884, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.449700927734376, | |
| "sampling/sampling_logp_difference/mean": 0.04671826101839542, | |
| "step": 70, | |
| "step_time": 96.85919274576008 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2702.0, | |
| "completions/mean_length": 3792.390625, | |
| "completions/mean_terminated_length": 1554.6982788085938, | |
| "completions/min_length": 523.0, | |
| "completions/min_terminated_length": 523.0, | |
| "entropy": 0.5755266681313514, | |
| "epoch": 0.2222222222222222, | |
| "frac_reward_zero_std": 0.275, | |
| "grad_norm": 0.2741508483886719, | |
| "learning_rate": 9.937168595898508e-07, | |
| "loss": -0.0216, | |
| "num_tokens": 19956309.0, | |
| "reward": 0.396875, | |
| "reward_std": 0.48693000376224516, | |
| "rewards/reward_correct/mean": 0.396875, | |
| "rewards/reward_correct/std": 0.48693000674247744, | |
| "sampling/importance_sampling_ratio/max": 2.2106072545051574, | |
| "sampling/importance_sampling_ratio/mean": 0.30533475875854493, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.59271354675293, | |
| "sampling/sampling_logp_difference/mean": 0.04881819523870945, | |
| "step": 80, | |
| "step_time": 95.62034683078528 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3796875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2839.8, | |
| "completions/mean_length": 4084.5625, | |
| "completions/mean_terminated_length": 1582.0239868164062, | |
| "completions/min_length": 598.2, | |
| "completions/min_terminated_length": 598.2, | |
| "entropy": 0.5755758906248957, | |
| "epoch": 0.25, | |
| "frac_reward_zero_std": 0.2375, | |
| "grad_norm": 0.11705684661865234, | |
| "learning_rate": 9.908992241476186e-07, | |
| "loss": -0.0328, | |
| "num_tokens": 22618117.0, | |
| "reward": 0.3671875, | |
| "reward_std": 0.46752808690071107, | |
| "rewards/reward_correct/mean": 0.3671875, | |
| "rewards/reward_correct/std": 0.4675280928611755, | |
| "sampling/importance_sampling_ratio/max": 2.1488356232643127, | |
| "sampling/importance_sampling_ratio/mean": 0.282461379468441, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.50088768005371, | |
| "sampling/sampling_logp_difference/mean": 0.04865880124270916, | |
| "step": 90, | |
| "step_time": 101.01973776686937 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.4203125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2645.3, | |
| "completions/mean_length": 4314.771875, | |
| "completions/mean_terminated_length": 1509.4629516601562, | |
| "completions/min_length": 569.4, | |
| "completions/min_terminated_length": 569.4, | |
| "entropy": 0.5954360837582499, | |
| "epoch": 0.2777777777777778, | |
| "frac_reward_zero_std": 0.275, | |
| "grad_norm": 0.09120581299066544, | |
| "learning_rate": 9.875667032080352e-07, | |
| "loss": -0.0301, | |
| "num_tokens": 25430539.0, | |
| "reward": 0.353125, | |
| "reward_std": 0.4764838844537735, | |
| "rewards/reward_correct/mean": 0.353125, | |
| "rewards/reward_correct/std": 0.4764839023351669, | |
| "sampling/importance_sampling_ratio/max": 2.3067823886871337, | |
| "sampling/importance_sampling_ratio/mean": 0.28874450623989106, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.806869316101075, | |
| "sampling/sampling_logp_difference/mean": 0.050743330270051956, | |
| "step": 100, | |
| "step_time": 106.27121401969343 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2765625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2885.7, | |
| "completions/mean_length": 3313.5390625, | |
| "completions/mean_terminated_length": 1451.3173950195312, | |
| "completions/min_length": 524.1, | |
| "completions/min_terminated_length": 524.1, | |
| "entropy": 0.5162243159022182, | |
| "epoch": 0.3055555555555556, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.20105834305286407, | |
| "learning_rate": 9.837227921253745e-07, | |
| "loss": -0.0222, | |
| "num_tokens": 27594124.0, | |
| "reward": 0.4359375, | |
| "reward_std": 0.48942558765411376, | |
| "rewards/reward_correct/mean": 0.4359375, | |
| "rewards/reward_correct/std": 0.4894255995750427, | |
| "sampling/importance_sampling_ratio/max": 2.4590456604957582, | |
| "sampling/importance_sampling_ratio/mean": 0.36281110197305677, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.5187047958374, | |
| "sampling/sampling_logp_difference/mean": 0.04329596869647503, | |
| "step": 110, | |
| "step_time": 88.54633442051708 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3703125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2659.6, | |
| "completions/mean_length": 3929.0671875, | |
| "completions/mean_terminated_length": 1439.959716796875, | |
| "completions/min_length": 555.3, | |
| "completions/min_terminated_length": 555.3, | |
| "entropy": 0.5905495826154947, | |
| "epoch": 0.3333333333333333, | |
| "frac_reward_zero_std": 0.2375, | |
| "grad_norm": 0.08803282678127289, | |
| "learning_rate": 9.793715226315528e-07, | |
| "loss": -0.0261, | |
| "num_tokens": 30159399.0, | |
| "reward": 0.421875, | |
| "reward_std": 0.47909272611141207, | |
| "rewards/reward_correct/mean": 0.421875, | |
| "rewards/reward_correct/std": 0.47909273505210875, | |
| "sampling/importance_sampling_ratio/max": 2.126016139984131, | |
| "sampling/importance_sampling_ratio/mean": 0.27617028504610064, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.618224716186525, | |
| "sampling/sampling_logp_difference/mean": 0.05163493566215038, | |
| "step": 120, | |
| "step_time": 99.54315063767135 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.378125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2735.7, | |
| "completions/mean_length": 4040.6890625, | |
| "completions/mean_terminated_length": 1536.42490234375, | |
| "completions/min_length": 645.0, | |
| "completions/min_terminated_length": 645.0, | |
| "entropy": 0.5655143281910568, | |
| "epoch": 0.3611111111111111, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.1966542899608612, | |
| "learning_rate": 9.745174586073982e-07, | |
| "loss": -0.0311, | |
| "num_tokens": 32795344.0, | |
| "reward": 0.384375, | |
| "reward_std": 0.47214375138282777, | |
| "rewards/reward_correct/mean": 0.384375, | |
| "rewards/reward_correct/std": 0.4721437692642212, | |
| "sampling/importance_sampling_ratio/max": 2.5283960938453673, | |
| "sampling/importance_sampling_ratio/mean": 0.3151987254619598, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.23869686126709, | |
| "sampling/sampling_logp_difference/mean": 0.049242925643920896, | |
| "step": 130, | |
| "step_time": 100.30694740768521 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2765625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2714.3, | |
| "completions/mean_length": 3301.6859375, | |
| "completions/mean_terminated_length": 1435.6876953125, | |
| "completions/min_length": 568.2, | |
| "completions/min_terminated_length": 568.2, | |
| "entropy": 0.5224350173491985, | |
| "epoch": 0.3888888888888889, | |
| "frac_reward_zero_std": 0.225, | |
| "grad_norm": 0.266464501619339, | |
| "learning_rate": 9.691656912957684e-07, | |
| "loss": -0.0196, | |
| "num_tokens": 34952999.0, | |
| "reward": 0.478125, | |
| "reward_std": 0.5006843686103821, | |
| "rewards/reward_correct/mean": 0.478125, | |
| "rewards/reward_correct/std": 0.500684380531311, | |
| "sampling/importance_sampling_ratio/max": 2.5264899134635925, | |
| "sampling/importance_sampling_ratio/mean": 0.4062116891145706, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.331268119812012, | |
| "sampling/sampling_logp_difference/mean": 0.0450795441865921, | |
| "step": 140, | |
| "step_time": 88.51336960084737 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.321875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2729.3, | |
| "completions/mean_length": 3610.175, | |
| "completions/mean_terminated_length": 1446.8697387695313, | |
| "completions/min_length": 536.4, | |
| "completions/min_terminated_length": 536.4, | |
| "entropy": 0.5646064455155283, | |
| "epoch": 0.4166666666666667, | |
| "frac_reward_zero_std": 0.225, | |
| "grad_norm": 0.2582959830760956, | |
| "learning_rate": 9.633218339615432e-07, | |
| "loss": -0.0341, | |
| "num_tokens": 37314103.0, | |
| "reward": 0.4046875, | |
| "reward_std": 0.47060964107513426, | |
| "rewards/reward_correct/mean": 0.4046875, | |
| "rewards/reward_correct/std": 0.470609650015831, | |
| "sampling/importance_sampling_ratio/max": 2.4045764088630674, | |
| "sampling/importance_sampling_ratio/mean": 0.3732295721769333, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.39520835876465, | |
| "sampling/sampling_logp_difference/mean": 0.04807058311998844, | |
| "step": 150, | |
| "step_time": 93.85687965862454 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2705.6, | |
| "completions/mean_length": 3746.8171875, | |
| "completions/mean_terminated_length": 1490.0490234375, | |
| "completions/min_length": 519.2, | |
| "completions/min_terminated_length": 519.2, | |
| "entropy": 0.5504673863761127, | |
| "epoch": 0.4444444444444444, | |
| "frac_reward_zero_std": 0.1625, | |
| "grad_norm": 0.20146092772483826, | |
| "learning_rate": 9.569920160040814e-07, | |
| "loss": -0.0387, | |
| "num_tokens": 39761090.0, | |
| "reward": 0.4515625, | |
| "reward_std": 0.48955525159835817, | |
| "rewards/reward_correct/mean": 0.4515625, | |
| "rewards/reward_correct/std": 0.48955525159835817, | |
| "sampling/importance_sampling_ratio/max": 2.39810996055603, | |
| "sampling/importance_sampling_ratio/mean": 0.35599239766597746, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.339636421203615, | |
| "sampling/sampling_logp_difference/mean": 0.04856264889240265, | |
| "step": 160, | |
| "step_time": 95.43752448409796 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3578125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2787.9, | |
| "completions/mean_length": 3883.9484375, | |
| "completions/mean_terminated_length": 1488.986962890625, | |
| "completions/min_length": 600.0, | |
| "completions/min_terminated_length": 600.0, | |
| "entropy": 0.5517090468667447, | |
| "epoch": 0.4722222222222222, | |
| "frac_reward_zero_std": 0.3625, | |
| "grad_norm": 0.23341695964336395, | |
| "learning_rate": 9.501828765283294e-07, | |
| "loss": -0.0221, | |
| "num_tokens": 42296545.0, | |
| "reward": 0.3953125, | |
| "reward_std": 0.47710200548172, | |
| "rewards/reward_correct/mean": 0.3953125, | |
| "rewards/reward_correct/std": 0.4771020084619522, | |
| "sampling/importance_sampling_ratio/max": 2.4312403798103333, | |
| "sampling/importance_sampling_ratio/mean": 0.3166383683681488, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.572778701782227, | |
| "sampling/sampling_logp_difference/mean": 0.04768793135881424, | |
| "step": 170, | |
| "step_time": 98.4165175858885 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.340625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2983.3, | |
| "completions/mean_length": 3747.296875, | |
| "completions/mean_terminated_length": 1446.30537109375, | |
| "completions/min_length": 559.2, | |
| "completions/min_terminated_length": 559.2, | |
| "entropy": 0.5527338188607246, | |
| "epoch": 0.5, | |
| "frac_reward_zero_std": 0.2375, | |
| "grad_norm": 0.13981030881404877, | |
| "learning_rate": 9.429015573813162e-07, | |
| "loss": -0.0258, | |
| "num_tokens": 44746079.0, | |
| "reward": 0.390625, | |
| "reward_std": 0.48312163949012754, | |
| "rewards/reward_correct/mean": 0.390625, | |
| "rewards/reward_correct/std": 0.4831216514110565, | |
| "sampling/importance_sampling_ratio/max": 2.236375367641449, | |
| "sampling/importance_sampling_ratio/mean": 0.35382367074489596, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.376666259765624, | |
| "sampling/sampling_logp_difference/mean": 0.04669986329972744, | |
| "step": 180, | |
| "step_time": 95.65556847061961 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.31875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2660.9, | |
| "completions/mean_length": 3635.1734375, | |
| "completions/mean_terminated_length": 1505.3306030273438, | |
| "completions/min_length": 580.8, | |
| "completions/min_terminated_length": 580.8, | |
| "entropy": 0.536462911311537, | |
| "epoch": 0.5277777777777778, | |
| "frac_reward_zero_std": 0.1875, | |
| "grad_norm": 0.16308102011680603, | |
| "learning_rate": 9.351556956613422e-07, | |
| "loss": -0.018, | |
| "num_tokens": 47120230.0, | |
| "reward": 0.41875, | |
| "reward_std": 0.48690163493156435, | |
| "rewards/reward_correct/mean": 0.41875, | |
| "rewards/reward_correct/std": 0.48690164685249326, | |
| "sampling/importance_sampling_ratio/max": 2.3551482439041136, | |
| "sampling/importance_sampling_ratio/mean": 0.3526595965027809, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.034694099426268, | |
| "sampling/sampling_logp_difference/mean": 0.04380165822803974, | |
| "step": 190, | |
| "step_time": 92.7884238248691 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3421875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2682.7, | |
| "completions/mean_length": 3784.634375, | |
| "completions/mean_terminated_length": 1501.1128051757812, | |
| "completions/min_length": 506.2, | |
| "completions/min_terminated_length": 506.2, | |
| "entropy": 0.5288248831871897, | |
| "epoch": 0.5555555555555556, | |
| "frac_reward_zero_std": 0.225, | |
| "grad_norm": 0.3080485165119171, | |
| "learning_rate": 9.269534157077176e-07, | |
| "loss": -0.0415, | |
| "num_tokens": 49589284.0, | |
| "reward": 0.4328125, | |
| "reward_std": 0.49167430102825166, | |
| "rewards/reward_correct/mean": 0.4328125, | |
| "rewards/reward_correct/std": 0.4916743189096451, | |
| "sampling/importance_sampling_ratio/max": 2.2188847064971924, | |
| "sampling/importance_sampling_ratio/mean": 0.3379298195242882, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.151332664489747, | |
| "sampling/sampling_logp_difference/mean": 0.04422352984547615, | |
| "step": 200, | |
| "step_time": 96.42145730126649 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3015625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2692.1, | |
| "completions/mean_length": 3486.7875, | |
| "completions/mean_terminated_length": 1456.8675537109375, | |
| "completions/min_length": 424.7, | |
| "completions/min_terminated_length": 424.7, | |
| "entropy": 0.5138872295152396, | |
| "epoch": 0.5833333333333334, | |
| "frac_reward_zero_std": 0.2375, | |
| "grad_norm": 0.14368104934692383, | |
| "learning_rate": 9.183033205794524e-07, | |
| "loss": -0.0271, | |
| "num_tokens": 51866052.0, | |
| "reward": 0.4359375, | |
| "reward_std": 0.4865183919668198, | |
| "rewards/reward_correct/mean": 0.4359375, | |
| "rewards/reward_correct/std": 0.48651840090751647, | |
| "sampling/importance_sampling_ratio/max": 2.529734969139099, | |
| "sampling/importance_sampling_ratio/mean": 0.3310353755950928, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.605073738098145, | |
| "sampling/sampling_logp_difference/mean": 0.04353258796036243, | |
| "step": 210, | |
| "step_time": 91.41761814020575 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3109375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2680.2, | |
| "completions/mean_length": 3544.5046875, | |
| "completions/mean_terminated_length": 1457.0344970703125, | |
| "completions/min_length": 569.1, | |
| "completions/min_terminated_length": 569.1, | |
| "entropy": 0.5135231144260615, | |
| "epoch": 0.6111111111111112, | |
| "frac_reward_zero_std": 0.225, | |
| "grad_norm": 0.17278236150741577, | |
| "learning_rate": 9.092144830318357e-07, | |
| "loss": -0.0254, | |
| "num_tokens": 54182551.0, | |
| "reward": 0.43125, | |
| "reward_std": 0.4832146823406219, | |
| "rewards/reward_correct/mean": 0.43125, | |
| "rewards/reward_correct/std": 0.4832146853208542, | |
| "sampling/importance_sampling_ratio/max": 2.305103623867035, | |
| "sampling/importance_sampling_ratio/mean": 0.35843545794487, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.62167282104492, | |
| "sampling/sampling_logp_difference/mean": 0.04431740902364254, | |
| "step": 220, | |
| "step_time": 92.90139632392675 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3234375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2705.8, | |
| "completions/mean_length": 3632.15, | |
| "completions/mean_terminated_length": 1470.5746459960938, | |
| "completions/min_length": 552.3, | |
| "completions/min_terminated_length": 552.3, | |
| "entropy": 0.5150754484347999, | |
| "epoch": 0.6388888888888888, | |
| "frac_reward_zero_std": 0.1875, | |
| "grad_norm": 0.4685378968715668, | |
| "learning_rate": 8.99696436000368e-07, | |
| "loss": -0.0234, | |
| "num_tokens": 56552135.0, | |
| "reward": 0.4265625, | |
| "reward_std": 0.48878895938396455, | |
| "rewards/reward_correct/mean": 0.4265625, | |
| "rewards/reward_correct/std": 0.48878897428512574, | |
| "sampling/importance_sampling_ratio/max": 2.552997076511383, | |
| "sampling/importance_sampling_ratio/mean": 0.3578918635845184, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.531307792663576, | |
| "sampling/sampling_logp_difference/mean": 0.04508708380162716, | |
| "step": 230, | |
| "step_time": 93.72880325838923 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3234375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 3232.5, | |
| "completions/mean_length": 3705.865625, | |
| "completions/mean_terminated_length": 1559.2656982421875, | |
| "completions/min_length": 649.0, | |
| "completions/min_terminated_length": 649.0, | |
| "entropy": 0.5137905349489301, | |
| "epoch": 0.6666666666666666, | |
| "frac_reward_zero_std": 0.2875, | |
| "grad_norm": 0.1393118053674698, | |
| "learning_rate": 8.897591626020284e-07, | |
| "loss": -0.0271, | |
| "num_tokens": 58972081.0, | |
| "reward": 0.4296875, | |
| "reward_std": 0.4902578145265579, | |
| "rewards/reward_correct/mean": 0.4296875, | |
| "rewards/reward_correct/std": 0.49025782346725466, | |
| "sampling/importance_sampling_ratio/max": 2.492326486110687, | |
| "sampling/importance_sampling_ratio/mean": 0.33982470631599426, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 19.714303398132323, | |
| "sampling/sampling_logp_difference/mean": 0.04368722774088383, | |
| "step": 240, | |
| "step_time": 94.55036701764911 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3140625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2707.3, | |
| "completions/mean_length": 3529.0140625, | |
| "completions/mean_terminated_length": 1392.2738159179687, | |
| "completions/min_length": 495.1, | |
| "completions/min_terminated_length": 495.1, | |
| "entropy": 0.5081628792919218, | |
| "epoch": 0.6944444444444444, | |
| "frac_reward_zero_std": 0.175, | |
| "grad_norm": 0.08988256007432938, | |
| "learning_rate": 8.794130856643633e-07, | |
| "loss": -0.0172, | |
| "num_tokens": 61275938.0, | |
| "reward": 0.4484375, | |
| "reward_std": 0.49697442054748536, | |
| "rewards/reward_correct/mean": 0.4484375, | |
| "rewards/reward_correct/std": 0.4969744235277176, | |
| "sampling/importance_sampling_ratio/max": 2.635455274581909, | |
| "sampling/importance_sampling_ratio/mean": 0.35613458752632143, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.6952974319458, | |
| "sampling/sampling_logp_difference/mean": 0.044385163486003874, | |
| "step": 250, | |
| "step_time": 92.77678105384112 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.275, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 3083.6, | |
| "completions/mean_length": 3301.2484375, | |
| "completions/mean_terminated_length": 1451.84169921875, | |
| "completions/min_length": 537.7, | |
| "completions/min_terminated_length": 537.7, | |
| "entropy": 0.48980009178631007, | |
| "epoch": 0.7222222222222222, | |
| "frac_reward_zero_std": 0.175, | |
| "grad_norm": 0.13209204375743866, | |
| "learning_rate": 8.686690567933801e-07, | |
| "loss": -0.0239, | |
| "num_tokens": 63433217.0, | |
| "reward": 0.4625, | |
| "reward_std": 0.5000784158706665, | |
| "rewards/reward_correct/mean": 0.4625, | |
| "rewards/reward_correct/std": 0.5000784218311309, | |
| "sampling/importance_sampling_ratio/max": 2.4186819911003115, | |
| "sampling/importance_sampling_ratio/mean": 0.3675165086984634, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.942532539367676, | |
| "sampling/sampling_logp_difference/mean": 0.04302049204707146, | |
| "step": 260, | |
| "step_time": 88.44859280735254 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3078125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2721.3, | |
| "completions/mean_length": 3572.4546875, | |
| "completions/mean_terminated_length": 1534.3489501953125, | |
| "completions/min_length": 564.8, | |
| "completions/min_terminated_length": 564.8, | |
| "entropy": 0.5065572742838412, | |
| "epoch": 0.75, | |
| "frac_reward_zero_std": 0.2625, | |
| "grad_norm": 0.3504384756088257, | |
| "learning_rate": 8.575383449917102e-07, | |
| "loss": -0.0168, | |
| "num_tokens": 65767596.0, | |
| "reward": 0.453125, | |
| "reward_std": 0.4748325616121292, | |
| "rewards/reward_correct/mean": 0.453125, | |
| "rewards/reward_correct/std": 0.4748325675725937, | |
| "sampling/importance_sampling_ratio/max": 2.2907237648963927, | |
| "sampling/importance_sampling_ratio/mean": 0.3160614877939224, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 25.577795219421386, | |
| "sampling/sampling_logp_difference/mean": 0.043240266665816304, | |
| "step": 270, | |
| "step_time": 92.66369731239975 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2734375, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2857.0, | |
| "completions/mean_length": 3278.6984375, | |
| "completions/mean_terminated_length": 1444.8076782226562, | |
| "completions/min_length": 553.0, | |
| "completions/min_terminated_length": 553.0, | |
| "entropy": 0.4928085923660547, | |
| "epoch": 0.7777777777777778, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.11743981391191483, | |
| "learning_rate": 8.460326248389824e-07, | |
| "loss": -0.0328, | |
| "num_tokens": 67909899.0, | |
| "reward": 0.4796875, | |
| "reward_std": 0.4822675257921219, | |
| "rewards/reward_correct/mean": 0.4796875, | |
| "rewards/reward_correct/std": 0.4822675287723541, | |
| "sampling/importance_sampling_ratio/max": 2.5242951631546022, | |
| "sampling/importance_sampling_ratio/mean": 0.38842698484659194, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.473637580871582, | |
| "sampling/sampling_logp_difference/mean": 0.04052827805280686, | |
| "step": 280, | |
| "step_time": 87.84348612818867 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2953125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2763.8, | |
| "completions/mean_length": 3433.0734375, | |
| "completions/mean_terminated_length": 1448.4840942382812, | |
| "completions/min_length": 560.3, | |
| "completions/min_terminated_length": 560.3, | |
| "entropy": 0.5100364525802433, | |
| "epoch": 0.8055555555555556, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.2548004686832428, | |
| "learning_rate": 8.341639642468001e-07, | |
| "loss": -0.0231, | |
| "num_tokens": 70154122.0, | |
| "reward": 0.39375, | |
| "reward_std": 0.4714914709329605, | |
| "rewards/reward_correct/mean": 0.39375, | |
| "rewards/reward_correct/std": 0.4714914858341217, | |
| "sampling/importance_sampling_ratio/max": 2.33950617313385, | |
| "sampling/importance_sampling_ratio/mean": 0.3633014544844627, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.3909854888916, | |
| "sampling/sampling_logp_difference/mean": 0.04575198851525784, | |
| "step": 290, | |
| "step_time": 90.32039845213293 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.265625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2642.8, | |
| "completions/mean_length": 3212.525, | |
| "completions/mean_terminated_length": 1411.774169921875, | |
| "completions/min_length": 572.2, | |
| "completions/min_terminated_length": 572.2, | |
| "entropy": 0.47054290105588736, | |
| "epoch": 0.8333333333333334, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.27349135279655457, | |
| "learning_rate": 8.219448118011687e-07, | |
| "loss": -0.0334, | |
| "num_tokens": 72256530.0, | |
| "reward": 0.421875, | |
| "reward_std": 0.4876495271921158, | |
| "rewards/reward_correct/mean": 0.421875, | |
| "rewards/reward_correct/std": 0.48764953911304476, | |
| "sampling/importance_sampling_ratio/max": 2.2759945511817934, | |
| "sampling/importance_sampling_ratio/mean": 0.3820392429828644, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.031887817382813, | |
| "sampling/sampling_logp_difference/mean": 0.041293776035308837, | |
| "step": 300, | |
| "step_time": 86.86856737490743 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2796875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2730.5, | |
| "completions/mean_length": 3313.04375, | |
| "completions/mean_terminated_length": 1431.5855224609375, | |
| "completions/min_length": 443.0, | |
| "completions/min_terminated_length": 443.0, | |
| "entropy": 0.500835029873997, | |
| "epoch": 0.8611111111111112, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.460864394903183, | |
| "learning_rate": 8.093879837056485e-07, | |
| "loss": -0.0167, | |
| "num_tokens": 74422630.0, | |
| "reward": 0.4078125, | |
| "reward_std": 0.4829194873571396, | |
| "rewards/reward_correct/mean": 0.4078125, | |
| "rewards/reward_correct/std": 0.4829194962978363, | |
| "sampling/importance_sampling_ratio/max": 2.56204674243927, | |
| "sampling/importance_sampling_ratio/mean": 0.3848576098680496, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.089742851257324, | |
| "sampling/sampling_logp_difference/mean": 0.04200447015464306, | |
| "step": 310, | |
| "step_time": 88.47893992438912 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.303125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2956.5, | |
| "completions/mean_length": 3513.2265625, | |
| "completions/mean_terminated_length": 1483.2241455078124, | |
| "completions/min_length": 610.5, | |
| "completions/min_terminated_length": 610.5, | |
| "entropy": 0.514991466421634, | |
| "epoch": 0.8888888888888888, | |
| "frac_reward_zero_std": 0.2625, | |
| "grad_norm": 0.179782897233963, | |
| "learning_rate": 7.965066503389264e-07, | |
| "loss": -0.0309, | |
| "num_tokens": 76716127.0, | |
| "reward": 0.365625, | |
| "reward_std": 0.47816264927387236, | |
| "rewards/reward_correct/mean": 0.365625, | |
| "rewards/reward_correct/std": 0.4781626582145691, | |
| "sampling/importance_sampling_ratio/max": 2.519623303413391, | |
| "sampling/importance_sampling_ratio/mean": 0.3532961577177048, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.083291053771973, | |
| "sampling/sampling_logp_difference/mean": 0.04559468738734722, | |
| "step": 320, | |
| "step_time": 91.2618560783565 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.253125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2747.5, | |
| "completions/mean_length": 3135.4203125, | |
| "completions/mean_terminated_length": 1434.197314453125, | |
| "completions/min_length": 520.0, | |
| "completions/min_terminated_length": 520.0, | |
| "entropy": 0.4833090817555785, | |
| "epoch": 0.9166666666666666, | |
| "frac_reward_zero_std": 0.1875, | |
| "grad_norm": 0.13914607465267181, | |
| "learning_rate": 7.833143224409075e-07, | |
| "loss": -0.0312, | |
| "num_tokens": 78771436.0, | |
| "reward": 0.4390625, | |
| "reward_std": 0.4904475510120392, | |
| "rewards/reward_correct/mean": 0.4390625, | |
| "rewards/reward_correct/std": 0.49044756293296815, | |
| "sampling/importance_sampling_ratio/max": 2.455558753013611, | |
| "sampling/importance_sampling_ratio/mean": 0.38001332730054854, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.64868927001953, | |
| "sampling/sampling_logp_difference/mean": 0.04199961461126804, | |
| "step": 330, | |
| "step_time": 85.40838945042341 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.290625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2742.6, | |
| "completions/mean_length": 3391.753125, | |
| "completions/mean_terminated_length": 1421.10107421875, | |
| "completions/min_length": 449.9, | |
| "completions/min_terminated_length": 449.9, | |
| "entropy": 0.4844976777676493, | |
| "epoch": 0.9444444444444444, | |
| "frac_reward_zero_std": 0.225, | |
| "grad_norm": 0.16815045475959778, | |
| "learning_rate": 7.698248369418146e-07, | |
| "loss": -0.0224, | |
| "num_tokens": 80986918.0, | |
| "reward": 0.4578125, | |
| "reward_std": 0.49601399302482607, | |
| "rewards/reward_correct/mean": 0.4578125, | |
| "rewards/reward_correct/std": 0.496014004945755, | |
| "sampling/importance_sampling_ratio/max": 2.3630632042884825, | |
| "sampling/importance_sampling_ratio/mean": 0.3652906835079193, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.45225372314453, | |
| "sampling/sampling_logp_difference/mean": 0.0402510404586792, | |
| "step": 340, | |
| "step_time": 89.63123638182878 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2764.0, | |
| "completions/mean_length": 3510.5140625, | |
| "completions/mean_terminated_length": 1515.0855346679687, | |
| "completions/min_length": 589.2, | |
| "completions/min_terminated_length": 589.2, | |
| "entropy": 0.48650123639963566, | |
| "epoch": 0.9722222222222222, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.34350690245628357, | |
| "learning_rate": 7.560523424491594e-07, | |
| "loss": -0.0327, | |
| "num_tokens": 83279343.0, | |
| "reward": 0.40625, | |
| "reward_std": 0.48524410724639894, | |
| "rewards/reward_correct/mean": 0.40625, | |
| "rewards/reward_correct/std": 0.4852441310882568, | |
| "sampling/importance_sampling_ratio/max": 2.621637427806854, | |
| "sampling/importance_sampling_ratio/mean": 0.3800614088773727, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.8350399017334, | |
| "sampling/sampling_logp_difference/mean": 0.04253811165690422, | |
| "step": 350, | |
| "step_time": 90.70822816956789 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.315625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2796.9, | |
| "completions/mean_length": 3580.165625, | |
| "completions/mean_terminated_length": 1469.3232055664062, | |
| "completions/min_length": 481.0, | |
| "completions/min_terminated_length": 481.0, | |
| "entropy": 0.5141544749494642, | |
| "epoch": 1.0, | |
| "frac_reward_zero_std": 0.2375, | |
| "grad_norm": 0.09957528114318848, | |
| "learning_rate": 7.420112844078065e-07, | |
| "loss": -0.0264, | |
| "num_tokens": 85620353.0, | |
| "reward": 0.45, | |
| "reward_std": 0.48938204646110534, | |
| "rewards/reward_correct/mean": 0.45, | |
| "rewards/reward_correct/std": 0.48938204944133756, | |
| "sampling/importance_sampling_ratio/max": 2.5152801275253296, | |
| "sampling/importance_sampling_ratio/mean": 0.3644652560353279, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.44343662261963, | |
| "sampling/sampling_logp_difference/mean": 0.043626537173986436, | |
| "step": 360, | |
| "step_time": 92.83569850176573 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.2875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2694.5, | |
| "completions/mean_length": 3396.1671875, | |
| "completions/mean_terminated_length": 1472.170263671875, | |
| "completions/min_length": 472.1, | |
| "completions/min_terminated_length": 472.1, | |
| "entropy": 0.5021241253707558, | |
| "epoch": 1.0277777777777777, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.20708823204040527, | |
| "learning_rate": 7.277163899486974e-07, | |
| "loss": -0.0084, | |
| "num_tokens": 87839972.0, | |
| "reward": 0.4609375, | |
| "reward_std": 0.4824483096599579, | |
| "rewards/reward_correct/mean": 0.4609375, | |
| "rewards/reward_correct/std": 0.4824483096599579, | |
| "sampling/importance_sampling_ratio/max": 2.517948567867279, | |
| "sampling/importance_sampling_ratio/mean": 0.4134147673845291, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.941598892211914, | |
| "sampling/sampling_logp_difference/mean": 0.04388279486447573, | |
| "step": 370, | |
| "step_time": 89.34413652997463 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3171875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2708.5, | |
| "completions/mean_length": 3588.9296875, | |
| "completions/mean_terminated_length": 1454.8683471679688, | |
| "completions/min_length": 524.1, | |
| "completions/min_terminated_length": 524.1, | |
| "entropy": 0.502693377295509, | |
| "epoch": 1.0555555555555556, | |
| "frac_reward_zero_std": 0.275, | |
| "grad_norm": 0.1858949214220047, | |
| "learning_rate": 7.131826524421229e-07, | |
| "loss": -0.0318, | |
| "num_tokens": 90182887.0, | |
| "reward": 0.440625, | |
| "reward_std": 0.4875584036111832, | |
| "rewards/reward_correct/mean": 0.440625, | |
| "rewards/reward_correct/std": 0.4875584065914154, | |
| "sampling/importance_sampling_ratio/max": 2.4215506672859193, | |
| "sampling/importance_sampling_ratio/mean": 0.36463034301996233, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.958362197875978, | |
| "sampling/sampling_logp_difference/mean": 0.04441062249243259, | |
| "step": 380, | |
| "step_time": 92.67752550859004 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3890625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2740.1, | |
| "completions/mean_length": 4121.328125, | |
| "completions/mean_terminated_length": 1532.1543334960938, | |
| "completions/min_length": 603.0, | |
| "completions/min_terminated_length": 603.0, | |
| "entropy": 0.5237304116133601, | |
| "epoch": 1.0833333333333333, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.09304118901491165, | |
| "learning_rate": 6.984253157717485e-07, | |
| "loss": -0.018, | |
| "num_tokens": 92870865.0, | |
| "reward": 0.4078125, | |
| "reward_std": 0.49269229769706724, | |
| "rewards/reward_correct/mean": 0.4078125, | |
| "rewards/reward_correct/std": 0.492692306637764, | |
| "sampling/importance_sampling_ratio/max": 2.14275484085083, | |
| "sampling/importance_sampling_ratio/mean": 0.29739712178707123, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.217792129516603, | |
| "sampling/sampling_logp_difference/mean": 0.04599142037332058, | |
| "step": 390, | |
| "step_time": 102.05327154491097 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3640625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2618.8, | |
| "completions/mean_length": 3917.4375, | |
| "completions/mean_terminated_length": 1481.8446899414062, | |
| "completions/min_length": 622.0, | |
| "completions/min_terminated_length": 622.0, | |
| "entropy": 0.5371272402349859, | |
| "epoch": 1.1111111111111112, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.14799313247203827, | |
| "learning_rate": 6.834598583458861e-07, | |
| "loss": -0.0227, | |
| "num_tokens": 95421425.0, | |
| "reward": 0.428125, | |
| "reward_std": 0.482084384560585, | |
| "rewards/reward_correct/mean": 0.428125, | |
| "rewards/reward_correct/std": 0.4820843905210495, | |
| "sampling/importance_sampling_ratio/max": 2.424322748184204, | |
| "sampling/importance_sampling_ratio/mean": 0.32391665428876876, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.81523914337158, | |
| "sampling/sampling_logp_difference/mean": 0.04645326770842075, | |
| "step": 400, | |
| "step_time": 99.04672075342387 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.371875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2735.0, | |
| "completions/mean_length": 3984.6125, | |
| "completions/mean_terminated_length": 1514.8505249023438, | |
| "completions/min_length": 551.9, | |
| "completions/min_terminated_length": 551.9, | |
| "entropy": 0.5294327767100185, | |
| "epoch": 1.1388888888888888, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.2487545609474182, | |
| "learning_rate": 6.683019768627794e-07, | |
| "loss": -0.0202, | |
| "num_tokens": 98020353.0, | |
| "reward": 0.4203125, | |
| "reward_std": 0.4853229820728302, | |
| "rewards/reward_correct/mean": 0.4203125, | |
| "rewards/reward_correct/std": 0.48532298803329466, | |
| "sampling/importance_sampling_ratio/max": 2.425787329673767, | |
| "sampling/importance_sampling_ratio/mean": 0.34082319438457487, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.107694625854492, | |
| "sampling/sampling_logp_difference/mean": 0.04505102261900902, | |
| "step": 410, | |
| "step_time": 100.24638866372406 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.4046875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 3061.0, | |
| "completions/mean_length": 4253.1953125, | |
| "completions/mean_terminated_length": 1604.5595947265624, | |
| "completions/min_length": 520.9, | |
| "completions/min_terminated_length": 520.9, | |
| "entropy": 0.5594399727415293, | |
| "epoch": 1.1666666666666667, | |
| "frac_reward_zero_std": 0.3125, | |
| "grad_norm": 0.09589551389217377, | |
| "learning_rate": 6.529675698469369e-07, | |
| "loss": -0.0194, | |
| "num_tokens": 100791518.0, | |
| "reward": 0.340625, | |
| "reward_std": 0.4659861117601395, | |
| "rewards/reward_correct/mean": 0.340625, | |
| "rewards/reward_correct/std": 0.4659861266613007, | |
| "sampling/importance_sampling_ratio/max": 2.2143738508224486, | |
| "sampling/importance_sampling_ratio/mean": 0.2883808270096779, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 24.680903816223143, | |
| "sampling/sampling_logp_difference/mean": 0.045639732107520106, | |
| "step": 420, | |
| "step_time": 103.95541290417313 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3640625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2721.9, | |
| "completions/mean_length": 3928.7765625, | |
| "completions/mean_terminated_length": 1515.8645141601562, | |
| "completions/min_length": 658.3, | |
| "completions/min_terminated_length": 658.3, | |
| "entropy": 0.5309726831037551, | |
| "epoch": 1.1944444444444444, | |
| "frac_reward_zero_std": 0.2125, | |
| "grad_norm": 0.11377198994159698, | |
| "learning_rate": 6.374727209737742e-07, | |
| "loss": -0.0375, | |
| "num_tokens": 103356455.0, | |
| "reward": 0.3875, | |
| "reward_std": 0.4833220809698105, | |
| "rewards/reward_correct/mean": 0.3875, | |
| "rewards/reward_correct/std": 0.48332209289073946, | |
| "sampling/importance_sampling_ratio/max": 2.697994363307953, | |
| "sampling/importance_sampling_ratio/mean": 0.3253849983215332, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.634774589538573, | |
| "sampling/sampling_logp_difference/mean": 0.04580756314098835, | |
| "step": 430, | |
| "step_time": 98.64194328989834 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3828125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2776.0, | |
| "completions/mean_length": 4030.6875, | |
| "completions/mean_terminated_length": 1456.2660522460938, | |
| "completions/min_length": 534.9, | |
| "completions/min_terminated_length": 534.9, | |
| "entropy": 0.5253222627099603, | |
| "epoch": 1.2222222222222223, | |
| "frac_reward_zero_std": 0.2875, | |
| "grad_norm": 0.1834605634212494, | |
| "learning_rate": 6.218336822000597e-07, | |
| "loss": -0.0311, | |
| "num_tokens": 105985199.0, | |
| "reward": 0.371875, | |
| "reward_std": 0.4680081695318222, | |
| "rewards/reward_correct/mean": 0.371875, | |
| "rewards/reward_correct/std": 0.46800817251205445, | |
| "sampling/importance_sampling_ratio/max": 2.4830429673194887, | |
| "sampling/importance_sampling_ratio/mean": 0.3344820261001587, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 25.512220191955567, | |
| "sampling/sampling_logp_difference/mean": 0.04608744233846664, | |
| "step": 440, | |
| "step_time": 101.21402945108711 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.4046875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2800.7, | |
| "completions/mean_length": 4262.6609375, | |
| "completions/mean_terminated_length": 1580.7835083007812, | |
| "completions/min_length": 585.1, | |
| "completions/min_terminated_length": 585.1, | |
| "entropy": 0.5569739128928631, | |
| "epoch": 1.25, | |
| "frac_reward_zero_std": 0.175, | |
| "grad_norm": 0.12380044907331467, | |
| "learning_rate": 6.060668567178559e-07, | |
| "loss": -0.0332, | |
| "num_tokens": 108762526.0, | |
| "reward": 0.4375, | |
| "reward_std": 0.4926897346973419, | |
| "rewards/reward_correct/mean": 0.4375, | |
| "rewards/reward_correct/std": 0.4926897376775742, | |
| "sampling/importance_sampling_ratio/max": 2.0959500551223753, | |
| "sampling/importance_sampling_ratio/mean": 0.28630392253398895, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.07707347869873, | |
| "sampling/sampling_logp_difference/mean": 0.048703621700406076, | |
| "step": 450, | |
| "step_time": 104.36413167230785 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3203125, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2636.1, | |
| "completions/mean_length": 3645.103125, | |
| "completions/mean_terminated_length": 1502.7676513671875, | |
| "completions/min_length": 578.3, | |
| "completions/min_terminated_length": 578.3, | |
| "entropy": 0.5052359893452376, | |
| "epoch": 1.2777777777777777, | |
| "frac_reward_zero_std": 0.1375, | |
| "grad_norm": 0.3007439970970154, | |
| "learning_rate": 5.901887817498367e-07, | |
| "loss": -0.0368, | |
| "num_tokens": 111138808.0, | |
| "reward": 0.41875, | |
| "reward_std": 0.49026038646698, | |
| "rewards/reward_correct/mean": 0.41875, | |
| "rewards/reward_correct/std": 0.49026039242744446, | |
| "sampling/importance_sampling_ratio/max": 2.2202050924301147, | |
| "sampling/importance_sampling_ratio/mean": 0.3308444514870644, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 23.17190055847168, | |
| "sampling/sampling_logp_difference/mean": 0.04389919862151146, | |
| "step": 460, | |
| "step_time": 93.38349273055792 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3265625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2857.9, | |
| "completions/mean_length": 3689.3828125, | |
| "completions/mean_terminated_length": 1499.214501953125, | |
| "completions/min_length": 502.0, | |
| "completions/min_terminated_length": 502.0, | |
| "entropy": 0.5224037424195558, | |
| "epoch": 1.3055555555555556, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.2663036286830902, | |
| "learning_rate": 5.742161112040236e-07, | |
| "loss": -0.0214, | |
| "num_tokens": 113549213.0, | |
| "reward": 0.375, | |
| "reward_std": 0.4806476831436157, | |
| "rewards/reward_correct/mean": 0.375, | |
| "rewards/reward_correct/std": 0.48064770102500914, | |
| "sampling/importance_sampling_ratio/max": 2.4689416170120237, | |
| "sampling/importance_sampling_ratio/mean": 0.3618432849645615, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 20.738582611083984, | |
| "sampling/sampling_logp_difference/mean": 0.046205943822860716, | |
| "step": 470, | |
| "step_time": 94.04668763801456 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.35, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 3171.3, | |
| "completions/mean_length": 3906.228125, | |
| "completions/mean_terminated_length": 1615.4124145507812, | |
| "completions/min_length": 649.1, | |
| "completions/min_terminated_length": 649.1, | |
| "entropy": 0.5468584059271961, | |
| "epoch": 1.3333333333333333, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.1444406360387802, | |
| "learning_rate": 5.581655982061366e-07, | |
| "loss": -0.0381, | |
| "num_tokens": 116095783.0, | |
| "reward": 0.4109375, | |
| "reward_std": 0.48344514071941375, | |
| "rewards/reward_correct/mean": 0.4109375, | |
| "rewards/reward_correct/std": 0.48344514071941375, | |
| "sampling/importance_sampling_ratio/max": 2.212104618549347, | |
| "sampling/importance_sampling_ratio/mean": 0.3308627545833588, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 22.928424453735353, | |
| "sampling/sampling_logp_difference/mean": 0.04624480046331882, | |
| "step": 480, | |
| "step_time": 97.89495770912617 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.3640625, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2847.0, | |
| "completions/mean_length": 3933.9484375, | |
| "completions/mean_terminated_length": 1534.0626586914063, | |
| "completions/min_length": 625.0, | |
| "completions/min_terminated_length": 625.0, | |
| "entropy": 0.5143518089316785, | |
| "epoch": 1.3611111111111112, | |
| "frac_reward_zero_std": 0.1625, | |
| "grad_norm": 0.14443330466747284, | |
| "learning_rate": 5.420540775278788e-07, | |
| "loss": -0.0338, | |
| "num_tokens": 118660662.0, | |
| "reward": 0.453125, | |
| "reward_std": 0.490170481801033, | |
| "rewards/reward_correct/mean": 0.453125, | |
| "rewards/reward_correct/std": 0.49017049074172975, | |
| "sampling/importance_sampling_ratio/max": 2.4240808367729185, | |
| "sampling/importance_sampling_ratio/mean": 0.32956405729055405, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 25.39155864715576, | |
| "sampling/sampling_logp_difference/mean": 0.044797389209270476, | |
| "step": 490, | |
| "step_time": 99.29671751111746 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completions/clipped_ratio": 0.31875, | |
| "completions/max_length": 8192.0, | |
| "completions/max_terminated_length": 2790.6, | |
| "completions/mean_length": 3592.6796875, | |
| "completions/mean_terminated_length": 1455.6937377929687, | |
| "completions/min_length": 574.1, | |
| "completions/min_terminated_length": 574.1, | |
| "entropy": 0.5269695220049471, | |
| "epoch": 1.3888888888888888, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.15532448887825012, | |
| "learning_rate": 5.258984479295852e-07, | |
| "loss": -0.028, | |
| "num_tokens": 121006129.0, | |
| "reward": 0.4578125, | |
| "reward_std": 0.4924586594104767, | |
| "rewards/reward_correct/mean": 0.4578125, | |
| "rewards/reward_correct/std": 0.49245867431163787, | |
| "sampling/importance_sampling_ratio/max": 2.5489956021308897, | |
| "sampling/importance_sampling_ratio/mean": 0.37822050750255587, | |
| "sampling/importance_sampling_ratio/min": 0.0, | |
| "sampling/sampling_logp_difference/max": 21.463522529602052, | |
| "sampling/sampling_logp_difference/mean": 0.046779343485832216, | |
| "step": 500, | |
| "step_time": 92.61194766778499 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 1000, | |
| "num_input_tokens_seen": 121006129, | |
| "num_train_epochs": 3, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |