Instructions to use Gege24/smoke_test_cm_2_lp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/smoke_test_cm_2_lp with PEFT:
Base model is not found.
- Transformers
How to use Gege24/smoke_test_cm_2_lp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gege24/smoke_test_cm_2_lp") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gege24/smoke_test_cm_2_lp", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gege24/smoke_test_cm_2_lp with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gege24/smoke_test_cm_2_lp" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gege24/smoke_test_cm_2_lp", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gege24/smoke_test_cm_2_lp
- SGLang
How to use Gege24/smoke_test_cm_2_lp 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 "Gege24/smoke_test_cm_2_lp" \ --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": "Gege24/smoke_test_cm_2_lp", "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 "Gege24/smoke_test_cm_2_lp" \ --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": "Gege24/smoke_test_cm_2_lp", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Gege24/smoke_test_cm_2_lp with Docker Model Runner:
docker model run hf.co/Gege24/smoke_test_cm_2_lp
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.00118, | |
| "eval_steps": 500, | |
| "global_step": 59, | |
| "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": 0.03125, | |
| "completions/max_length": 272.0, | |
| "completions/max_terminated_length": 272.0, | |
| "completions/mean_length": 234.90625, | |
| "completions/mean_terminated_length": 234.258056640625, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 3.2142516672611237, | |
| "epoch": 2e-05, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.26979702711105347, | |
| "kl": 0.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.005, | |
| "num_tokens": 25117.0, | |
| "reward": -0.10680253803730011, | |
| "reward_std": 0.15763120353221893, | |
| "rewards/rollout_reward_func/mean": -0.10680253803730011, | |
| "rewards/rollout_reward_func/std": 0.4190797507762909, | |
| "sampling/importance_sampling_ratio/max": 0.39367836713790894, | |
| "sampling/importance_sampling_ratio/mean": 0.3039231598377228, | |
| "sampling/importance_sampling_ratio/min": 1.1115786026014152e-12, | |
| "sampling/sampling_logp_difference/max": 8.616442680358887, | |
| "sampling/sampling_logp_difference/mean": 0.5023343563079834, | |
| "step": 1, | |
| "step_time": 6.355231066998385 | |
| }, | |
| { | |
| "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, | |
| "entropy": 3.2142516672611237, | |
| "epoch": 4e-05, | |
| "grad_norm": 0.27107080817222595, | |
| "kl": 0.0, | |
| "learning_rate": 2.8571428571428575e-07, | |
| "loss": 0.005, | |
| "step": 2, | |
| "step_time": 2.6362348689945065 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.02130681835114956, | |
| "clip_ratio/high_mean": 0.01065340917557478, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.01065340917557478, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 234.0, | |
| "completions/mean_terminated_length": 234.0, | |
| "completions/min_length": 6.0, | |
| "completions/min_terminated_length": 6.0, | |
| "entropy": 3.0704929530620575, | |
| "epoch": 6e-05, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.22045230865478516, | |
| "kl": 0.0027004847361240536, | |
| "learning_rate": 5.714285714285715e-07, | |
| "loss": -0.004, | |
| "num_tokens": 50037.0, | |
| "reward": -0.19287078082561493, | |
| "reward_std": 0.10101090371608734, | |
| "rewards/rollout_reward_func/mean": -0.19287078082561493, | |
| "rewards/rollout_reward_func/std": 0.222161203622818, | |
| "sampling/importance_sampling_ratio/max": 0.41802993416786194, | |
| "sampling/importance_sampling_ratio/mean": 0.3280646502971649, | |
| "sampling/importance_sampling_ratio/min": 3.99030703268274e-17, | |
| "sampling/sampling_logp_difference/max": 15.911174774169922, | |
| "sampling/sampling_logp_difference/mean": 0.6590549349784851, | |
| "step": 3, | |
| "step_time": 5.095425448002061 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.03125, | |
| "clip_ratio/high_mean": 0.015625, | |
| "clip_ratio/low_mean": 0.0062500000931322575, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.021875000093132257, | |
| "entropy": 3.064293920993805, | |
| "epoch": 8e-05, | |
| "grad_norm": 0.18429496884346008, | |
| "kl": 0.0012484827602747828, | |
| "learning_rate": 8.571428571428572e-07, | |
| "loss": -0.0041, | |
| "step": 4, | |
| "step_time": 3.698633335996419 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 228.375, | |
| "completions/mean_terminated_length": 228.375, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 3.0153795182704926, | |
| "epoch": 0.0001, | |
| "frac_reward_zero_std": 0.5, | |
| "grad_norm": 0.3265765905380249, | |
| "kl": 0.0012420682760421187, | |
| "learning_rate": 1.142857142857143e-06, | |
| "loss": 0.0053, | |
| "num_tokens": 75373.0, | |
| "reward": -0.34361034631729126, | |
| "reward_std": 0.057992346584796906, | |
| "rewards/rollout_reward_func/mean": -0.34361034631729126, | |
| "rewards/rollout_reward_func/std": 0.18802577257156372, | |
| "sampling/importance_sampling_ratio/max": 0.5093293786048889, | |
| "sampling/importance_sampling_ratio/mean": 0.3409231901168823, | |
| "sampling/importance_sampling_ratio/min": 4.8556185738846125e-09, | |
| "sampling/sampling_logp_difference/max": 9.86337947845459, | |
| "sampling/sampling_logp_difference/mean": 0.4095209240913391, | |
| "step": 5, | |
| "step_time": 5.0735454369932995 | |
| }, | |
| { | |
| "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, | |
| "entropy": 3.0051720440387726, | |
| "epoch": 0.00012, | |
| "grad_norm": 0.31776297092437744, | |
| "kl": 0.0012318175904511008, | |
| "learning_rate": 1.4285714285714286e-06, | |
| "loss": 0.0053, | |
| "step": 6, | |
| "step_time": 2.5831480210108566 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 272.0, | |
| "completions/max_terminated_length": 272.0, | |
| "completions/mean_length": 250.46875, | |
| "completions/mean_terminated_length": 250.46875, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.8582278192043304, | |
| "epoch": 0.00014, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.2764955759048462, | |
| "kl": 0.0006178142502903938, | |
| "learning_rate": 1.7142857142857145e-06, | |
| "loss": 0.0004, | |
| "num_tokens": 101372.0, | |
| "reward": -0.29117995500564575, | |
| "reward_std": 0.09318102151155472, | |
| "rewards/rollout_reward_func/mean": -0.29117995500564575, | |
| "rewards/rollout_reward_func/std": 0.2679314613342285, | |
| "sampling/importance_sampling_ratio/max": 0.49537980556488037, | |
| "sampling/importance_sampling_ratio/mean": 0.349077433347702, | |
| "sampling/importance_sampling_ratio/min": 0.25360107421875, | |
| "sampling/sampling_logp_difference/max": 1.0881049633026123, | |
| "sampling/sampling_logp_difference/mean": 0.28574055433273315, | |
| "step": 7, | |
| "step_time": 5.081170800003747 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.862494111061096, | |
| "epoch": 0.00016, | |
| "grad_norm": 0.24010437726974487, | |
| "kl": 0.0006794510409235954, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 0.0005, | |
| "step": 8, | |
| "step_time": 3.1074692439869978 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0028409091755747795, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0028409091755747795, | |
| "completions/clipped_ratio": 0.03125, | |
| "completions/max_length": 283.0, | |
| "completions/max_terminated_length": 283.0, | |
| "completions/mean_length": 235.875, | |
| "completions/mean_terminated_length": 234.41934204101562, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 3.4469158351421356, | |
| "epoch": 0.00018, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.23515327274799347, | |
| "kl": 0.0016030340811994392, | |
| "learning_rate": 2.285714285714286e-06, | |
| "loss": -0.0015, | |
| "num_tokens": 127272.0, | |
| "reward": -0.192843496799469, | |
| "reward_std": 0.09330694377422333, | |
| "rewards/rollout_reward_func/mean": -0.192843496799469, | |
| "rewards/rollout_reward_func/std": 0.5610886812210083, | |
| "sampling/importance_sampling_ratio/max": 0.41105180978775024, | |
| "sampling/importance_sampling_ratio/mean": 0.30184194445610046, | |
| "sampling/importance_sampling_ratio/min": 6.500172067269716e-10, | |
| "sampling/sampling_logp_difference/max": 10.035122871398926, | |
| "sampling/sampling_logp_difference/mean": 0.6302409172058105, | |
| "step": 9, | |
| "step_time": 5.048265172990796 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.03125, | |
| "clip_ratio/high_mean": 0.015625, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "entropy": 3.4479992985725403, | |
| "epoch": 0.0002, | |
| "grad_norm": 0.23885409533977509, | |
| "kl": 0.0010869057805393822, | |
| "learning_rate": 2.571428571428571e-06, | |
| "loss": -0.0018, | |
| "step": 10, | |
| "step_time": 2.5924187649870873 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 245.9375, | |
| "completions/mean_terminated_length": 245.9375, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.81420236825943, | |
| "epoch": 0.00022, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.2363705188035965, | |
| "kl": 0.0017093666829168797, | |
| "learning_rate": 2.8571428571428573e-06, | |
| "loss": 0.001, | |
| "num_tokens": 152122.0, | |
| "reward": -0.3222354054450989, | |
| "reward_std": 0.06711984425783157, | |
| "rewards/rollout_reward_func/mean": -0.3222354054450989, | |
| "rewards/rollout_reward_func/std": 0.3185221254825592, | |
| "sampling/importance_sampling_ratio/max": 0.46333321928977966, | |
| "sampling/importance_sampling_ratio/mean": 0.3522881865501404, | |
| "sampling/importance_sampling_ratio/min": 0.2758025825023651, | |
| "sampling/sampling_logp_difference/max": 1.0277656316757202, | |
| "sampling/sampling_logp_difference/mean": 0.27784621715545654, | |
| "step": 11, | |
| "step_time": 5.074914941003954 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.8088128864765167, | |
| "epoch": 0.00024, | |
| "grad_norm": 0.2671680748462677, | |
| "kl": 0.0009637279435992241, | |
| "learning_rate": 3.142857142857143e-06, | |
| "loss": 0.0005, | |
| "step": 12, | |
| "step_time": 3.1117320080084028 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.012500000186264515, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.012500000186264515, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 220.90625, | |
| "completions/mean_terminated_length": 220.90625, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 3.451016843318939, | |
| "epoch": 0.00026, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.2638246715068817, | |
| "kl": 0.002861911394575145, | |
| "learning_rate": 3.428571428571429e-06, | |
| "loss": -0.002, | |
| "num_tokens": 177459.0, | |
| "reward": -0.3641868233680725, | |
| "reward_std": 0.15367230772972107, | |
| "rewards/rollout_reward_func/mean": -0.3641868233680725, | |
| "rewards/rollout_reward_func/std": 0.29250121116638184, | |
| "sampling/importance_sampling_ratio/max": 0.44515958428382874, | |
| "sampling/importance_sampling_ratio/mean": 0.2989964485168457, | |
| "sampling/importance_sampling_ratio/min": 2.1738792987946454e-09, | |
| "sampling/sampling_logp_difference/max": 9.765713691711426, | |
| "sampling/sampling_logp_difference/mean": 0.689436674118042, | |
| "step": 13, | |
| "step_time": 5.032078587006254 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.028125000186264515, | |
| "clip_ratio/high_mean": 0.014062500093132257, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.014062500093132257, | |
| "entropy": 3.4329649209976196, | |
| "epoch": 0.00028, | |
| "grad_norm": 0.22904707491397858, | |
| "kl": 0.003218118588847574, | |
| "learning_rate": 3.7142857142857146e-06, | |
| "loss": -0.0022, | |
| "step": 14, | |
| "step_time": 2.5871444669901393 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.012500000186264515, | |
| "clip_ratio/high_mean": 0.0062500000931322575, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0062500000931322575, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 233.4375, | |
| "completions/mean_terminated_length": 233.4375, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.8146192133426666, | |
| "epoch": 0.0003, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.19310137629508972, | |
| "kl": 0.0009782408815226518, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 0.0002, | |
| "num_tokens": 202417.0, | |
| "reward": -0.19271773099899292, | |
| "reward_std": 0.155815988779068, | |
| "rewards/rollout_reward_func/mean": -0.19271773099899292, | |
| "rewards/rollout_reward_func/std": 0.4227723181247711, | |
| "sampling/importance_sampling_ratio/max": 0.4287247955799103, | |
| "sampling/importance_sampling_ratio/mean": 0.3414804935455322, | |
| "sampling/importance_sampling_ratio/min": 0.20568381249904633, | |
| "sampling/sampling_logp_difference/max": 1.0057648420333862, | |
| "sampling/sampling_logp_difference/mean": 0.28122472763061523, | |
| "step": 15, | |
| "step_time": 4.874961112989695 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.8126984536647797, | |
| "epoch": 0.00032, | |
| "grad_norm": 0.2404056191444397, | |
| "kl": 0.0004795501008629799, | |
| "learning_rate": 4.2857142857142855e-06, | |
| "loss": 0.0002, | |
| "step": 16, | |
| "step_time": 3.1072658550037886 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.03125, | |
| "clip_ratio/high_mean": 0.015625, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 244.0, | |
| "completions/max_terminated_length": 244.0, | |
| "completions/mean_length": 239.375, | |
| "completions/mean_terminated_length": 239.375, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.7332915663719177, | |
| "epoch": 0.00034, | |
| "frac_reward_zero_std": 0.625, | |
| "grad_norm": 0.09953422099351883, | |
| "kl": 0.0015153931453824043, | |
| "learning_rate": 4.571428571428572e-06, | |
| "loss": 0.0014, | |
| "num_tokens": 228193.0, | |
| "reward": -0.2743194103240967, | |
| "reward_std": 0.06014951318502426, | |
| "rewards/rollout_reward_func/mean": -0.2743194103240967, | |
| "rewards/rollout_reward_func/std": 0.2062394618988037, | |
| "sampling/importance_sampling_ratio/max": 0.4074307382106781, | |
| "sampling/importance_sampling_ratio/mean": 0.362698495388031, | |
| "sampling/importance_sampling_ratio/min": 0.211087167263031, | |
| "sampling/sampling_logp_difference/max": 0.9929541349411011, | |
| "sampling/sampling_logp_difference/mean": 0.26707231998443604, | |
| "step": 17, | |
| "step_time": 4.845946382018155 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.7276317477226257, | |
| "epoch": 0.00036, | |
| "grad_norm": 0.08120391517877579, | |
| "kl": 0.00179352518171072, | |
| "learning_rate": 4.857142857142858e-06, | |
| "loss": 0.0014, | |
| "step": 18, | |
| "step_time": 2.566697195004963 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.03125, | |
| "clip_ratio/high_mean": 0.015625, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 274.0, | |
| "completions/max_terminated_length": 274.0, | |
| "completions/mean_length": 230.125, | |
| "completions/mean_terminated_length": 230.125, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.9977245032787323, | |
| "epoch": 0.00038, | |
| "frac_reward_zero_std": 0.0, | |
| "grad_norm": 0.420897901058197, | |
| "kl": 0.006651273382885847, | |
| "learning_rate": 5.142857142857142e-06, | |
| "loss": 0.0059, | |
| "num_tokens": 253409.0, | |
| "reward": -0.1733579933643341, | |
| "reward_std": 0.19301274418830872, | |
| "rewards/rollout_reward_func/mean": -0.1733579933643341, | |
| "rewards/rollout_reward_func/std": 0.2591477334499359, | |
| "sampling/importance_sampling_ratio/max": 0.5843319892883301, | |
| "sampling/importance_sampling_ratio/mean": 0.3510555028915405, | |
| "sampling/importance_sampling_ratio/min": 2.4533126641301806e-09, | |
| "sampling/sampling_logp_difference/max": 9.161478996276855, | |
| "sampling/sampling_logp_difference/mean": 0.43575042486190796, | |
| "step": 19, | |
| "step_time": 5.015811472003406 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.046875, | |
| "clip_ratio/high_mean": 0.0234375, | |
| "clip_ratio/low_mean": 0.014062500093132257, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.03749999962747097, | |
| "entropy": 2.9959041476249695, | |
| "epoch": 0.0004, | |
| "grad_norm": 0.34493955969810486, | |
| "kl": 0.008892004458175506, | |
| "learning_rate": 5.428571428571429e-06, | |
| "loss": 0.0054, | |
| "step": 20, | |
| "step_time": 3.104410635001841 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 242.59375, | |
| "completions/mean_terminated_length": 242.59375, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.8769345581531525, | |
| "epoch": 0.00042, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.2891327738761902, | |
| "kl": 0.019077016040682793, | |
| "learning_rate": 5.7142857142857145e-06, | |
| "loss": 0.0007, | |
| "num_tokens": 279428.0, | |
| "reward": -0.2033514380455017, | |
| "reward_std": 0.0789310410618782, | |
| "rewards/rollout_reward_func/mean": -0.2033514380455017, | |
| "rewards/rollout_reward_func/std": 0.2912832200527191, | |
| "sampling/importance_sampling_ratio/max": 0.5870522856712341, | |
| "sampling/importance_sampling_ratio/mean": 0.3549953103065491, | |
| "sampling/importance_sampling_ratio/min": 0.2617434561252594, | |
| "sampling/sampling_logp_difference/max": 1.0146353244781494, | |
| "sampling/sampling_logp_difference/mean": 0.28163671493530273, | |
| "step": 21, | |
| "step_time": 5.382710714999121 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.873391270637512, | |
| "epoch": 0.00044, | |
| "grad_norm": 0.2984742820262909, | |
| "kl": 0.02395339752547443, | |
| "learning_rate": 6e-06, | |
| "loss": 0.001, | |
| "step": 22, | |
| "step_time": 2.595737472984183 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.03125, | |
| "clip_ratio/high_mean": 0.015625, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 269.0, | |
| "completions/max_terminated_length": 269.0, | |
| "completions/mean_length": 226.96875, | |
| "completions/mean_terminated_length": 226.96875, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 3.036062628030777, | |
| "epoch": 0.00046, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.27704352140426636, | |
| "kl": 0.04521754803135991, | |
| "learning_rate": 6.285714285714286e-06, | |
| "loss": -0.0044, | |
| "num_tokens": 304835.0, | |
| "reward": 0.03992068022489548, | |
| "reward_std": 0.18363338708877563, | |
| "rewards/rollout_reward_func/mean": 0.03992068022489548, | |
| "rewards/rollout_reward_func/std": 0.47476619482040405, | |
| "sampling/importance_sampling_ratio/max": 0.4635872542858124, | |
| "sampling/importance_sampling_ratio/mean": 0.3497931957244873, | |
| "sampling/importance_sampling_ratio/min": 5.469144026548634e-10, | |
| "sampling/sampling_logp_difference/max": 10.450542449951172, | |
| "sampling/sampling_logp_difference/mean": 0.45533978939056396, | |
| "step": 23, | |
| "step_time": 4.866940429994429 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.07500000018626451, | |
| "clip_ratio/high_mean": 0.03750000009313226, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.04531250009313226, | |
| "entropy": 3.0493311882019043, | |
| "epoch": 0.00048, | |
| "grad_norm": 0.20107966661453247, | |
| "kl": 0.06984312972053885, | |
| "learning_rate": 6.571428571428572e-06, | |
| "loss": -0.005, | |
| "step": 24, | |
| "step_time": 2.5650386179913767 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 271.0, | |
| "completions/max_terminated_length": 271.0, | |
| "completions/mean_length": 219.78125, | |
| "completions/mean_terminated_length": 219.78125, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.8874370455741882, | |
| "epoch": 0.0005, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.23385846614837646, | |
| "kl": 0.054296525893732905, | |
| "learning_rate": 6.857142857142858e-06, | |
| "loss": -0.0032, | |
| "num_tokens": 329752.0, | |
| "reward": 0.12345941364765167, | |
| "reward_std": 0.1870170384645462, | |
| "rewards/rollout_reward_func/mean": 0.12345941364765167, | |
| "rewards/rollout_reward_func/std": 0.4734259247779846, | |
| "sampling/importance_sampling_ratio/max": 0.5099582672119141, | |
| "sampling/importance_sampling_ratio/mean": 0.35814619064331055, | |
| "sampling/importance_sampling_ratio/min": 0.2283174693584442, | |
| "sampling/sampling_logp_difference/max": 0.9733547568321228, | |
| "sampling/sampling_logp_difference/mean": 0.28791680932044983, | |
| "step": 25, | |
| "step_time": 5.722078731007059 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "entropy": 2.8810991644859314, | |
| "epoch": 0.00052, | |
| "grad_norm": 0.22762461006641388, | |
| "kl": 0.07796057686209679, | |
| "learning_rate": 7.1428571428571436e-06, | |
| "loss": -0.0029, | |
| "step": 26, | |
| "step_time": 2.5734081249975134 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 250.03125, | |
| "completions/mean_terminated_length": 250.03125, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.8771714568138123, | |
| "epoch": 0.00054, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.45455417037010193, | |
| "kl": 0.05301585793495178, | |
| "learning_rate": 7.428571428571429e-06, | |
| "loss": -0.0037, | |
| "num_tokens": 355821.0, | |
| "reward": -0.27320465445518494, | |
| "reward_std": 0.1116408258676529, | |
| "rewards/rollout_reward_func/mean": -0.27320465445518494, | |
| "rewards/rollout_reward_func/std": 0.4916592240333557, | |
| "sampling/importance_sampling_ratio/max": 0.4857718050479889, | |
| "sampling/importance_sampling_ratio/mean": 0.3579443693161011, | |
| "sampling/importance_sampling_ratio/min": 0.22359538078308105, | |
| "sampling/sampling_logp_difference/max": 0.9943762421607971, | |
| "sampling/sampling_logp_difference/mean": 0.2942765951156616, | |
| "step": 27, | |
| "step_time": 4.950633588006895 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.8775526881217957, | |
| "epoch": 0.00056, | |
| "grad_norm": 0.48685505986213684, | |
| "kl": 0.06347140111029148, | |
| "learning_rate": 7.714285714285716e-06, | |
| "loss": -0.0037, | |
| "step": 28, | |
| "step_time": 2.586594164989947 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.02500000037252903, | |
| "clip_ratio/high_mean": 0.012500000186264515, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.012500000186264515, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 270.0, | |
| "completions/max_terminated_length": 270.0, | |
| "completions/mean_length": 232.6875, | |
| "completions/mean_terminated_length": 232.6875, | |
| "completions/min_length": 6.0, | |
| "completions/min_terminated_length": 6.0, | |
| "entropy": 2.9303584694862366, | |
| "epoch": 0.00058, | |
| "frac_reward_zero_std": 0.5, | |
| "grad_norm": 0.13718773424625397, | |
| "kl": 0.21013515145750716, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": -0.0006, | |
| "num_tokens": 380679.0, | |
| "reward": -0.10938680171966553, | |
| "reward_std": 0.03988201543688774, | |
| "rewards/rollout_reward_func/mean": -0.10938680171966553, | |
| "rewards/rollout_reward_func/std": 0.39720484614372253, | |
| "sampling/importance_sampling_ratio/max": 0.46476417779922485, | |
| "sampling/importance_sampling_ratio/mean": 0.32575637102127075, | |
| "sampling/importance_sampling_ratio/min": 1.840887664528168e-09, | |
| "sampling/sampling_logp_difference/max": 8.97761058807373, | |
| "sampling/sampling_logp_difference/mean": 0.43960580229759216, | |
| "step": 29, | |
| "step_time": 5.402698652986146 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.021875000093132257, | |
| "clip_ratio/low_min": 0.015625, | |
| "clip_ratio/region_mean": 0.021875000093132257, | |
| "entropy": 2.9387083649635315, | |
| "epoch": 0.0006, | |
| "grad_norm": 0.12522387504577637, | |
| "kl": 0.28398286853916943, | |
| "learning_rate": 8.285714285714287e-06, | |
| "loss": -0.0007, | |
| "step": 30, | |
| "step_time": 2.5845938549973653 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 240.71875, | |
| "completions/mean_terminated_length": 240.71875, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.932174474000931, | |
| "epoch": 0.00062, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.2146458476781845, | |
| "kl": 0.11049511469900608, | |
| "learning_rate": 8.571428571428571e-06, | |
| "loss": 0.0018, | |
| "num_tokens": 405834.0, | |
| "reward": -0.22345471382141113, | |
| "reward_std": 0.14430388808250427, | |
| "rewards/rollout_reward_func/mean": -0.22345471382141113, | |
| "rewards/rollout_reward_func/std": 0.2893519699573517, | |
| "sampling/importance_sampling_ratio/max": 0.6078521013259888, | |
| "sampling/importance_sampling_ratio/mean": 0.36050623655319214, | |
| "sampling/importance_sampling_ratio/min": 0.19197672605514526, | |
| "sampling/sampling_logp_difference/max": 1.0430428981781006, | |
| "sampling/sampling_logp_difference/mean": 0.30271923542022705, | |
| "step": 31, | |
| "step_time": 4.912783895008033 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.9295111298561096, | |
| "epoch": 0.00064, | |
| "grad_norm": 0.32109126448631287, | |
| "kl": 0.11441947985440493, | |
| "learning_rate": 8.857142857142858e-06, | |
| "loss": 0.0021, | |
| "step": 32, | |
| "step_time": 2.578935690005892 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 217.25, | |
| "completions/mean_terminated_length": 217.25, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.9171493649482727, | |
| "epoch": 0.00066, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.18634726107120514, | |
| "kl": 0.29283354338258505, | |
| "learning_rate": 9.142857142857144e-06, | |
| "loss": -0.0046, | |
| "num_tokens": 430838.0, | |
| "reward": -0.021942690014839172, | |
| "reward_std": 0.2572951316833496, | |
| "rewards/rollout_reward_func/mean": -0.021942690014839172, | |
| "rewards/rollout_reward_func/std": 0.3850228190422058, | |
| "sampling/importance_sampling_ratio/max": 0.6168394684791565, | |
| "sampling/importance_sampling_ratio/mean": 0.3683329224586487, | |
| "sampling/importance_sampling_ratio/min": 0.1770981401205063, | |
| "sampling/sampling_logp_difference/max": 1.0844477415084839, | |
| "sampling/sampling_logp_difference/mean": 0.3178885579109192, | |
| "step": 33, | |
| "step_time": 5.883909591000702 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.018229166977107525, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.018229166977107525, | |
| "entropy": 2.9187699258327484, | |
| "epoch": 0.00068, | |
| "grad_norm": 0.17209632694721222, | |
| "kl": 0.32030509738251567, | |
| "learning_rate": 9.42857142857143e-06, | |
| "loss": -0.0045, | |
| "step": 34, | |
| "step_time": 2.583553667005617 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 269.0, | |
| "completions/max_terminated_length": 269.0, | |
| "completions/mean_length": 251.15625, | |
| "completions/mean_terminated_length": 251.15625, | |
| "completions/min_length": 233.0, | |
| "completions/min_terminated_length": 233.0, | |
| "entropy": 2.9039885699748993, | |
| "epoch": 0.0007, | |
| "frac_reward_zero_std": 0.0, | |
| "grad_norm": 0.21747003495693207, | |
| "kl": 0.4501009024679661, | |
| "learning_rate": 9.714285714285715e-06, | |
| "loss": -0.01, | |
| "num_tokens": 457291.0, | |
| "reward": -0.008474733680486679, | |
| "reward_std": 0.06938640028238297, | |
| "rewards/rollout_reward_func/mean": -0.008474733680486679, | |
| "rewards/rollout_reward_func/std": 0.4130137264728546, | |
| "sampling/importance_sampling_ratio/max": 0.516679584980011, | |
| "sampling/importance_sampling_ratio/mean": 0.33271369338035583, | |
| "sampling/importance_sampling_ratio/min": 7.735414442322508e-07, | |
| "sampling/sampling_logp_difference/max": 3.892051935195923, | |
| "sampling/sampling_logp_difference/mean": 0.387271523475647, | |
| "step": 35, | |
| "step_time": 4.876037522997649 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.012620192486792803, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.012620192486792803, | |
| "entropy": 2.9125703275203705, | |
| "epoch": 0.00072, | |
| "grad_norm": 0.22622092068195343, | |
| "kl": 0.514522522687912, | |
| "learning_rate": 1e-05, | |
| "loss": -0.0102, | |
| "step": 36, | |
| "step_time": 2.586019046000729 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 223.71875, | |
| "completions/mean_terminated_length": 223.71875, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.898330956697464, | |
| "epoch": 0.00074, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.18963545560836792, | |
| "kl": 0.17799657548312098, | |
| "learning_rate": 9.9999999995372e-06, | |
| "loss": -0.0066, | |
| "num_tokens": 482530.0, | |
| "reward": -0.16677546501159668, | |
| "reward_std": 0.156550794839859, | |
| "rewards/rollout_reward_func/mean": -0.16677546501159668, | |
| "rewards/rollout_reward_func/std": 0.27479690313339233, | |
| "sampling/importance_sampling_ratio/max": 0.6498793959617615, | |
| "sampling/importance_sampling_ratio/mean": 0.3772757649421692, | |
| "sampling/importance_sampling_ratio/min": 0.20579339563846588, | |
| "sampling/sampling_logp_difference/max": 1.1838572025299072, | |
| "sampling/sampling_logp_difference/mean": 0.31108224391937256, | |
| "step": 37, | |
| "step_time": 6.162664868999855 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.899034082889557, | |
| "epoch": 0.00076, | |
| "grad_norm": 0.173002228140831, | |
| "kl": 0.2087516870815307, | |
| "learning_rate": 9.999999998148802e-06, | |
| "loss": -0.007, | |
| "step": 38, | |
| "step_time": 2.6345554510044167 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 246.03125, | |
| "completions/mean_terminated_length": 246.03125, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.736233025789261, | |
| "epoch": 0.00078, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.25805914402008057, | |
| "kl": 0.31404404155910015, | |
| "learning_rate": 9.999999995834804e-06, | |
| "loss": -0.0102, | |
| "num_tokens": 508515.0, | |
| "reward": -0.0983460322022438, | |
| "reward_std": 0.1256507933139801, | |
| "rewards/rollout_reward_func/mean": -0.0983460322022438, | |
| "rewards/rollout_reward_func/std": 0.5733147263526917, | |
| "sampling/importance_sampling_ratio/max": 0.5405430793762207, | |
| "sampling/importance_sampling_ratio/mean": 0.3518107533454895, | |
| "sampling/importance_sampling_ratio/min": 0.08160559087991714, | |
| "sampling/sampling_logp_difference/max": 1.1959668397903442, | |
| "sampling/sampling_logp_difference/mean": 0.294846773147583, | |
| "step": 39, | |
| "step_time": 4.918988351011649 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.059375000186264515, | |
| "clip_ratio/high_mean": 0.029687500093132257, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.03750000009313226, | |
| "entropy": 2.7310811281204224, | |
| "epoch": 0.0008, | |
| "grad_norm": 0.16329945623874664, | |
| "kl": 0.36445298697799444, | |
| "learning_rate": 9.999999992595207e-06, | |
| "loss": -0.0111, | |
| "step": 40, | |
| "step_time": 2.647009986983903 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 236.96875, | |
| "completions/mean_terminated_length": 236.96875, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.7252674400806427, | |
| "epoch": 0.00082, | |
| "frac_reward_zero_std": 0.5, | |
| "grad_norm": 0.1424042135477066, | |
| "kl": 0.3397897696122527, | |
| "learning_rate": 9.999999988430008e-06, | |
| "loss": 0.0013, | |
| "num_tokens": 533826.0, | |
| "reward": -0.16728736460208893, | |
| "reward_std": 0.09324388951063156, | |
| "rewards/rollout_reward_func/mean": -0.16728736460208893, | |
| "rewards/rollout_reward_func/std": 0.3316197991371155, | |
| "sampling/importance_sampling_ratio/max": 0.42009323835372925, | |
| "sampling/importance_sampling_ratio/mean": 0.36413732171058655, | |
| "sampling/importance_sampling_ratio/min": 0.2344428449869156, | |
| "sampling/sampling_logp_difference/max": 1.2678487300872803, | |
| "sampling/sampling_logp_difference/mean": 0.2750445306301117, | |
| "step": 41, | |
| "step_time": 6.286279361011111 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.705561101436615, | |
| "epoch": 0.00084, | |
| "grad_norm": 0.14423894882202148, | |
| "kl": 0.31878931261599064, | |
| "learning_rate": 9.999999983339212e-06, | |
| "loss": 0.0012, | |
| "step": 42, | |
| "step_time": 2.644381924001209 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 248.25, | |
| "completions/mean_terminated_length": 248.25, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.7233501076698303, | |
| "epoch": 0.00086, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.27433744072914124, | |
| "kl": 0.26571275014430285, | |
| "learning_rate": 9.999999977322818e-06, | |
| "loss": 0.001, | |
| "num_tokens": 559034.0, | |
| "reward": -0.16031917929649353, | |
| "reward_std": 0.07910899817943573, | |
| "rewards/rollout_reward_func/mean": -0.16031917929649353, | |
| "rewards/rollout_reward_func/std": 0.3891371190547943, | |
| "sampling/importance_sampling_ratio/max": 0.7106043696403503, | |
| "sampling/importance_sampling_ratio/mean": 0.3692682087421417, | |
| "sampling/importance_sampling_ratio/min": 0.22985637187957764, | |
| "sampling/sampling_logp_difference/max": 0.6034185886383057, | |
| "sampling/sampling_logp_difference/mean": 0.29134175181388855, | |
| "step": 43, | |
| "step_time": 5.0206790450029075 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.015625, | |
| "clip_ratio/high_mean": 0.0078125, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "entropy": 2.7124963998794556, | |
| "epoch": 0.00088, | |
| "grad_norm": 0.22208449244499207, | |
| "kl": 0.2730150371789932, | |
| "learning_rate": 9.999999970380822e-06, | |
| "loss": 0.0003, | |
| "step": 44, | |
| "step_time": 2.6403936139904545 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 227.28125, | |
| "completions/mean_terminated_length": 227.28125, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.7599149346351624, | |
| "epoch": 0.0009, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.17858587205410004, | |
| "kl": 0.21788341365754604, | |
| "learning_rate": 9.999999962513228e-06, | |
| "loss": 0.0004, | |
| "num_tokens": 583771.0, | |
| "reward": -0.13604271411895752, | |
| "reward_std": 0.10448753833770752, | |
| "rewards/rollout_reward_func/mean": -0.13604271411895752, | |
| "rewards/rollout_reward_func/std": 0.4671633243560791, | |
| "sampling/importance_sampling_ratio/max": 0.6547749638557434, | |
| "sampling/importance_sampling_ratio/mean": 0.3665401041507721, | |
| "sampling/importance_sampling_ratio/min": 0.06266149878501892, | |
| "sampling/sampling_logp_difference/max": 1.4546922445297241, | |
| "sampling/sampling_logp_difference/mean": 0.31887930631637573, | |
| "step": 45, | |
| "step_time": 6.400341804008349 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "entropy": 2.7397755682468414, | |
| "epoch": 0.00092, | |
| "grad_norm": 0.18169698119163513, | |
| "kl": 0.24561153631657362, | |
| "learning_rate": 9.999999953720035e-06, | |
| "loss": -0.0003, | |
| "step": 46, | |
| "step_time": 3.840367698998307 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 232.625, | |
| "completions/mean_terminated_length": 232.625, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.7486678063869476, | |
| "epoch": 0.00094, | |
| "frac_reward_zero_std": 0.125, | |
| "grad_norm": 0.1613720804452896, | |
| "kl": 0.5124468728899956, | |
| "learning_rate": 9.99999994400124e-06, | |
| "loss": -0.0059, | |
| "num_tokens": 609515.0, | |
| "reward": -0.22357675433158875, | |
| "reward_std": 0.11547203361988068, | |
| "rewards/rollout_reward_func/mean": -0.22357675433158875, | |
| "rewards/rollout_reward_func/std": 0.30443012714385986, | |
| "sampling/importance_sampling_ratio/max": 0.7394812107086182, | |
| "sampling/importance_sampling_ratio/mean": 0.39799731969833374, | |
| "sampling/importance_sampling_ratio/min": 0.003087133402004838, | |
| "sampling/sampling_logp_difference/max": 2.968440055847168, | |
| "sampling/sampling_logp_difference/mean": 0.33213719725608826, | |
| "step": 47, | |
| "step_time": 5.084561435993237 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.717843770980835, | |
| "epoch": 0.00096, | |
| "grad_norm": 0.15270604193210602, | |
| "kl": 0.5517388842999935, | |
| "learning_rate": 9.999999933356848e-06, | |
| "loss": -0.0065, | |
| "step": 48, | |
| "step_time": 2.594435404003889 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 267.0, | |
| "completions/max_terminated_length": 267.0, | |
| "completions/mean_length": 236.96875, | |
| "completions/mean_terminated_length": 236.96875, | |
| "completions/min_length": 6.0, | |
| "completions/min_terminated_length": 6.0, | |
| "entropy": 2.6678203344345093, | |
| "epoch": 0.00098, | |
| "frac_reward_zero_std": 0.25, | |
| "grad_norm": 0.35319241881370544, | |
| "kl": 0.5060755051672459, | |
| "learning_rate": 9.999999921786855e-06, | |
| "loss": -0.0234, | |
| "num_tokens": 635106.0, | |
| "reward": -0.08378944545984268, | |
| "reward_std": 0.06696479767560959, | |
| "rewards/rollout_reward_func/mean": -0.08378944545984268, | |
| "rewards/rollout_reward_func/std": 0.1741461306810379, | |
| "sampling/importance_sampling_ratio/max": 0.7419227957725525, | |
| "sampling/importance_sampling_ratio/mean": 0.3981371819972992, | |
| "sampling/importance_sampling_ratio/min": 9.574564474590375e-10, | |
| "sampling/sampling_logp_difference/max": 8.066584587097168, | |
| "sampling/sampling_logp_difference/mean": 0.44935131072998047, | |
| "step": 49, | |
| "step_time": 4.888581562976469 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.04531250009313226, | |
| "clip_ratio/low_min": 0.015625, | |
| "clip_ratio/region_mean": 0.04531250009313226, | |
| "entropy": 2.6393848061561584, | |
| "epoch": 0.001, | |
| "grad_norm": 0.2584957182407379, | |
| "kl": 0.6151874884963036, | |
| "learning_rate": 9.999999909291265e-06, | |
| "loss": -0.0249, | |
| "step": 50, | |
| "step_time": 3.5894425570004387 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0078125, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0078125, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 247.375, | |
| "completions/mean_terminated_length": 247.375, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.4370608031749725, | |
| "epoch": 0.00102, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.11229121685028076, | |
| "kl": 0.5419403500854969, | |
| "learning_rate": 9.999999895870075e-06, | |
| "loss": -0.015, | |
| "num_tokens": 660746.0, | |
| "reward": -0.18949081003665924, | |
| "reward_std": 0.13007065653800964, | |
| "rewards/rollout_reward_func/mean": -0.18949081003665924, | |
| "rewards/rollout_reward_func/std": 0.47671881318092346, | |
| "sampling/importance_sampling_ratio/max": 0.7944492101669312, | |
| "sampling/importance_sampling_ratio/mean": 0.44122982025146484, | |
| "sampling/importance_sampling_ratio/min": 0.17443421483039856, | |
| "sampling/sampling_logp_difference/max": 0.8063274621963501, | |
| "sampling/sampling_logp_difference/mean": 0.27315592765808105, | |
| "step": 51, | |
| "step_time": 4.902517995004018 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.015625, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.015625, | |
| "entropy": 2.3851166665554047, | |
| "epoch": 0.00104, | |
| "grad_norm": 0.13190092146396637, | |
| "kl": 0.5634779073297977, | |
| "learning_rate": 9.999999881523285e-06, | |
| "loss": -0.0154, | |
| "step": 52, | |
| "step_time": 2.5712496630003443 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 250.34375, | |
| "completions/mean_terminated_length": 250.34375, | |
| "completions/min_length": 184.0, | |
| "completions/min_terminated_length": 184.0, | |
| "entropy": 2.39392626285553, | |
| "epoch": 0.00106, | |
| "frac_reward_zero_std": 0.375, | |
| "grad_norm": 0.22307628393173218, | |
| "kl": 1.1005694568157196, | |
| "learning_rate": 9.999999866250896e-06, | |
| "loss": 0.0005, | |
| "num_tokens": 686797.0, | |
| "reward": -0.24457362294197083, | |
| "reward_std": 0.06005535274744034, | |
| "rewards/rollout_reward_func/mean": -0.24457362294197083, | |
| "rewards/rollout_reward_func/std": 0.387178510427475, | |
| "sampling/importance_sampling_ratio/max": 0.7177804112434387, | |
| "sampling/importance_sampling_ratio/mean": 0.4388836622238159, | |
| "sampling/importance_sampling_ratio/min": 0.0532250739634037, | |
| "sampling/sampling_logp_difference/max": 2.0519614219665527, | |
| "sampling/sampling_logp_difference/mean": 0.3103662431240082, | |
| "step": 53, | |
| "step_time": 4.848857997007144 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0390625, | |
| "clip_ratio/low_min": 0.015625, | |
| "clip_ratio/region_mean": 0.0390625, | |
| "entropy": 2.33899587392807, | |
| "epoch": 0.00108, | |
| "grad_norm": 0.2479284703731537, | |
| "kl": 1.431688316166401, | |
| "learning_rate": 9.999999850052909e-06, | |
| "loss": 0.0006, | |
| "step": 54, | |
| "step_time": 3.562508454975614 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 276.0, | |
| "completions/max_terminated_length": 276.0, | |
| "completions/mean_length": 250.28125, | |
| "completions/mean_terminated_length": 250.28125, | |
| "completions/min_length": 241.0, | |
| "completions/min_terminated_length": 241.0, | |
| "entropy": 2.302690327167511, | |
| "epoch": 0.0011, | |
| "frac_reward_zero_std": 0.625, | |
| "grad_norm": 0.10195823013782501, | |
| "kl": 0.3720350982621312, | |
| "learning_rate": 9.99999983292932e-06, | |
| "loss": -0.0047, | |
| "num_tokens": 712758.0, | |
| "reward": -0.21304789185523987, | |
| "reward_std": 0.05584158003330231, | |
| "rewards/rollout_reward_func/mean": -0.21304789185523987, | |
| "rewards/rollout_reward_func/std": 0.31514599919319153, | |
| "sampling/importance_sampling_ratio/max": 0.5960808396339417, | |
| "sampling/importance_sampling_ratio/mean": 0.44993600249290466, | |
| "sampling/importance_sampling_ratio/min": 3.7855832488276064e-05, | |
| "sampling/sampling_logp_difference/max": 4.051816940307617, | |
| "sampling/sampling_logp_difference/mean": 0.2676515281200409, | |
| "step": 55, | |
| "step_time": 5.935931921994779 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.004807692486792803, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.004807692486792803, | |
| "entropy": 2.275217980146408, | |
| "epoch": 0.00112, | |
| "grad_norm": 0.10368601977825165, | |
| "kl": 0.3742258697748184, | |
| "learning_rate": 9.999999814880132e-06, | |
| "loss": -0.0048, | |
| "step": 56, | |
| "step_time": 3.2161756420027814 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 267.0, | |
| "completions/max_terminated_length": 267.0, | |
| "completions/mean_length": 224.03125, | |
| "completions/mean_terminated_length": 224.03125, | |
| "completions/min_length": 2.0, | |
| "completions/min_terminated_length": 2.0, | |
| "entropy": 2.3107198774814606, | |
| "epoch": 0.00114, | |
| "frac_reward_zero_std": 0.625, | |
| "grad_norm": 0.30300799012184143, | |
| "kl": 1.3965208567678928, | |
| "learning_rate": 9.999999795905347e-06, | |
| "loss": -0.0063, | |
| "num_tokens": 736995.0, | |
| "reward": -0.09847276657819748, | |
| "reward_std": 0.052444059401750565, | |
| "rewards/rollout_reward_func/mean": -0.09847276657819748, | |
| "rewards/rollout_reward_func/std": 0.15305201709270477, | |
| "sampling/importance_sampling_ratio/max": 0.6250765323638916, | |
| "sampling/importance_sampling_ratio/mean": 0.45801815390586853, | |
| "sampling/importance_sampling_ratio/min": 3.5164142708765667e-09, | |
| "sampling/sampling_logp_difference/max": 9.024276733398438, | |
| "sampling/sampling_logp_difference/mean": 0.38153740763664246, | |
| "step": 57, | |
| "step_time": 4.980028837999271 | |
| }, | |
| { | |
| "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, | |
| "entropy": 2.274234175682068, | |
| "epoch": 0.00116, | |
| "grad_norm": 0.21491846442222595, | |
| "kl": 1.0686182007193565, | |
| "learning_rate": 9.999999776004962e-06, | |
| "loss": -0.0072, | |
| "step": 58, | |
| "step_time": 3.5114306210089126 | |
| }, | |
| { | |
| "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": 0.0, | |
| "completions/max_length": 267.0, | |
| "completions/max_terminated_length": 267.0, | |
| "completions/mean_length": 244.0625, | |
| "completions/mean_terminated_length": 244.0625, | |
| "completions/min_length": 229.0, | |
| "completions/min_terminated_length": 229.0, | |
| "entropy": 2.026425540447235, | |
| "epoch": 0.00118, | |
| "frac_reward_zero_std": 0.75, | |
| "grad_norm": 0.17460982501506805, | |
| "kl": 1.455301407724619, | |
| "learning_rate": 9.999999755178978e-06, | |
| "loss": -0.003, | |
| "num_tokens": 762249.0, | |
| "reward": -0.19697391986846924, | |
| "reward_std": 0.037940964102745056, | |
| "rewards/rollout_reward_func/mean": -0.19697391986846924, | |
| "rewards/rollout_reward_func/std": 0.1964397132396698, | |
| "sampling/importance_sampling_ratio/max": 0.670058012008667, | |
| "sampling/importance_sampling_ratio/mean": 0.47034597396850586, | |
| "sampling/importance_sampling_ratio/min": 0.08649313449859619, | |
| "sampling/sampling_logp_difference/max": 1.5561704635620117, | |
| "sampling/sampling_logp_difference/mean": 0.22143109142780304, | |
| "step": 59, | |
| "step_time": 4.800487477994466 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 200000, | |
| "num_input_tokens_seen": 762249, | |
| "num_train_epochs": 4, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |