Text Generation
Transformers
Safetensors
qwen3
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use DCAgent/a1-glaive_code_assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DCAgent/a1-glaive_code_assistant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DCAgent/a1-glaive_code_assistant") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DCAgent/a1-glaive_code_assistant") model = AutoModelForCausalLM.from_pretrained("DCAgent/a1-glaive_code_assistant", device_map="auto") 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 DCAgent/a1-glaive_code_assistant with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DCAgent/a1-glaive_code_assistant" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DCAgent/a1-glaive_code_assistant", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DCAgent/a1-glaive_code_assistant
- SGLang
How to use DCAgent/a1-glaive_code_assistant 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 "DCAgent/a1-glaive_code_assistant" \ --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": "DCAgent/a1-glaive_code_assistant", "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 "DCAgent/a1-glaive_code_assistant" \ --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": "DCAgent/a1-glaive_code_assistant", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use DCAgent/a1-glaive_code_assistant with Docker Model Runner:
docker model run hf.co/DCAgent/a1-glaive_code_assistant
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 7.0, | |
| "eval_steps": 500, | |
| "global_step": 4193, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.008347245409015025, | |
| "grad_norm": 20.125777436153097, | |
| "learning_rate": 3.80952380952381e-07, | |
| "loss": 0.8516, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.830694854259491, | |
| "step": 5, | |
| "valid_targets_mean": 2796.9, | |
| "valid_targets_min": 502 | |
| }, | |
| { | |
| "epoch": 0.01669449081803005, | |
| "grad_norm": 22.315323330587066, | |
| "learning_rate": 8.571428571428572e-07, | |
| "loss": 0.8348, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.945982813835144, | |
| "step": 10, | |
| "valid_targets_mean": 1666.1, | |
| "valid_targets_min": 579 | |
| }, | |
| { | |
| "epoch": 0.025041736227045076, | |
| "grad_norm": 17.453196048630293, | |
| "learning_rate": 1.3333333333333334e-06, | |
| "loss": 0.8539, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.8544225692749023, | |
| "step": 15, | |
| "valid_targets_mean": 1624.1, | |
| "valid_targets_min": 749 | |
| }, | |
| { | |
| "epoch": 0.0333889816360601, | |
| "grad_norm": 14.870206418345237, | |
| "learning_rate": 1.8095238095238097e-06, | |
| "loss": 0.7723, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.8390950560569763, | |
| "step": 20, | |
| "valid_targets_mean": 1568.9, | |
| "valid_targets_min": 689 | |
| }, | |
| { | |
| "epoch": 0.041736227045075125, | |
| "grad_norm": 11.532926695492177, | |
| "learning_rate": 2.285714285714286e-06, | |
| "loss": 0.7356, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.7299785017967224, | |
| "step": 25, | |
| "valid_targets_mean": 2161.1, | |
| "valid_targets_min": 781 | |
| }, | |
| { | |
| "epoch": 0.05008347245409015, | |
| "grad_norm": 6.704783369679939, | |
| "learning_rate": 2.7619047619047625e-06, | |
| "loss": 0.6733, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.6406428813934326, | |
| "step": 30, | |
| "valid_targets_mean": 2134.3, | |
| "valid_targets_min": 913 | |
| }, | |
| { | |
| "epoch": 0.05843071786310518, | |
| "grad_norm": 3.426760945542158, | |
| "learning_rate": 3.2380952380952385e-06, | |
| "loss": 0.6114, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.5607920289039612, | |
| "step": 35, | |
| "valid_targets_mean": 2782.6, | |
| "valid_targets_min": 648 | |
| }, | |
| { | |
| "epoch": 0.0667779632721202, | |
| "grad_norm": 2.500234673380324, | |
| "learning_rate": 3.7142857142857146e-06, | |
| "loss": 0.5837, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.6126732230186462, | |
| "step": 40, | |
| "valid_targets_mean": 2412.5, | |
| "valid_targets_min": 1138 | |
| }, | |
| { | |
| "epoch": 0.07512520868113523, | |
| "grad_norm": 1.6353048788833415, | |
| "learning_rate": 4.190476190476191e-06, | |
| "loss": 0.5074, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4867894649505615, | |
| "step": 45, | |
| "valid_targets_mean": 2508.1, | |
| "valid_targets_min": 626 | |
| }, | |
| { | |
| "epoch": 0.08347245409015025, | |
| "grad_norm": 1.6643943844489701, | |
| "learning_rate": 4.666666666666667e-06, | |
| "loss": 0.5153, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.5278254151344299, | |
| "step": 50, | |
| "valid_targets_mean": 1936.9, | |
| "valid_targets_min": 797 | |
| }, | |
| { | |
| "epoch": 0.09181969949916527, | |
| "grad_norm": 0.9498878936104556, | |
| "learning_rate": 5.142857142857142e-06, | |
| "loss": 0.4827, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4543859660625458, | |
| "step": 55, | |
| "valid_targets_mean": 3347.8, | |
| "valid_targets_min": 543 | |
| }, | |
| { | |
| "epoch": 0.1001669449081803, | |
| "grad_norm": 1.0174237616830506, | |
| "learning_rate": 5.619047619047619e-06, | |
| "loss": 0.4912, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.49389925599098206, | |
| "step": 60, | |
| "valid_targets_mean": 2433.2, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 0.10851419031719532, | |
| "grad_norm": 0.8239188853729782, | |
| "learning_rate": 6.095238095238096e-06, | |
| "loss": 0.4612, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4277969002723694, | |
| "step": 65, | |
| "valid_targets_mean": 3225.6, | |
| "valid_targets_min": 876 | |
| }, | |
| { | |
| "epoch": 0.11686143572621036, | |
| "grad_norm": 0.7232769829375342, | |
| "learning_rate": 6.571428571428572e-06, | |
| "loss": 0.453, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.41270703077316284, | |
| "step": 70, | |
| "valid_targets_mean": 3240.1, | |
| "valid_targets_min": 866 | |
| }, | |
| { | |
| "epoch": 0.12520868113522537, | |
| "grad_norm": 0.8683682081988188, | |
| "learning_rate": 7.047619047619048e-06, | |
| "loss": 0.4407, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.47156885266304016, | |
| "step": 75, | |
| "valid_targets_mean": 2287.4, | |
| "valid_targets_min": 984 | |
| }, | |
| { | |
| "epoch": 0.1335559265442404, | |
| "grad_norm": 0.828011223922074, | |
| "learning_rate": 7.523809523809524e-06, | |
| "loss": 0.4638, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4064176082611084, | |
| "step": 80, | |
| "valid_targets_mean": 2163.6, | |
| "valid_targets_min": 1110 | |
| }, | |
| { | |
| "epoch": 0.1419031719532554, | |
| "grad_norm": 0.5974334115927779, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 0.4303, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.40039050579071045, | |
| "step": 85, | |
| "valid_targets_mean": 3918.3, | |
| "valid_targets_min": 1060 | |
| }, | |
| { | |
| "epoch": 0.15025041736227046, | |
| "grad_norm": 0.8880912110853688, | |
| "learning_rate": 8.476190476190477e-06, | |
| "loss": 0.44, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4153106212615967, | |
| "step": 90, | |
| "valid_targets_mean": 1947.6, | |
| "valid_targets_min": 789 | |
| }, | |
| { | |
| "epoch": 0.15859766277128548, | |
| "grad_norm": 0.751148343881156, | |
| "learning_rate": 8.952380952380953e-06, | |
| "loss": 0.412, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4028511643409729, | |
| "step": 95, | |
| "valid_targets_mean": 2478.4, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 0.1669449081803005, | |
| "grad_norm": 0.7236471980196548, | |
| "learning_rate": 9.42857142857143e-06, | |
| "loss": 0.4115, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3987542390823364, | |
| "step": 100, | |
| "valid_targets_mean": 2565.8, | |
| "valid_targets_min": 361 | |
| }, | |
| { | |
| "epoch": 0.17529215358931552, | |
| "grad_norm": 0.9071686345050813, | |
| "learning_rate": 9.904761904761906e-06, | |
| "loss": 0.4165, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4188500642776489, | |
| "step": 105, | |
| "valid_targets_mean": 1897.7, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 0.18363939899833054, | |
| "grad_norm": 0.8248284873164098, | |
| "learning_rate": 1.0380952380952383e-05, | |
| "loss": 0.4088, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3929654359817505, | |
| "step": 110, | |
| "valid_targets_mean": 1896.4, | |
| "valid_targets_min": 506 | |
| }, | |
| { | |
| "epoch": 0.19198664440734559, | |
| "grad_norm": 0.7823148745443437, | |
| "learning_rate": 1.0857142857142858e-05, | |
| "loss": 0.3967, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3725951313972473, | |
| "step": 115, | |
| "valid_targets_mean": 2162.0, | |
| "valid_targets_min": 865 | |
| }, | |
| { | |
| "epoch": 0.2003338898163606, | |
| "grad_norm": 0.7130290245492041, | |
| "learning_rate": 1.1333333333333334e-05, | |
| "loss": 0.3976, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.40969598293304443, | |
| "step": 120, | |
| "valid_targets_mean": 2873.4, | |
| "valid_targets_min": 608 | |
| }, | |
| { | |
| "epoch": 0.20868113522537562, | |
| "grad_norm": 0.6374637811571959, | |
| "learning_rate": 1.180952380952381e-05, | |
| "loss": 0.4056, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.36969244480133057, | |
| "step": 125, | |
| "valid_targets_mean": 2947.9, | |
| "valid_targets_min": 699 | |
| }, | |
| { | |
| "epoch": 0.21702838063439064, | |
| "grad_norm": 0.7660820864604462, | |
| "learning_rate": 1.2285714285714288e-05, | |
| "loss": 0.3699, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33364009857177734, | |
| "step": 130, | |
| "valid_targets_mean": 1937.9, | |
| "valid_targets_min": 672 | |
| }, | |
| { | |
| "epoch": 0.22537562604340566, | |
| "grad_norm": 1.0608408159879852, | |
| "learning_rate": 1.2761904761904762e-05, | |
| "loss": 0.3785, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4482278823852539, | |
| "step": 135, | |
| "valid_targets_mean": 2734.9, | |
| "valid_targets_min": 904 | |
| }, | |
| { | |
| "epoch": 0.2337228714524207, | |
| "grad_norm": 0.7937754785168789, | |
| "learning_rate": 1.3238095238095238e-05, | |
| "loss": 0.393, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3878324031829834, | |
| "step": 140, | |
| "valid_targets_mean": 2254.6, | |
| "valid_targets_min": 957 | |
| }, | |
| { | |
| "epoch": 0.24207011686143573, | |
| "grad_norm": 0.9530960586446873, | |
| "learning_rate": 1.3714285714285716e-05, | |
| "loss": 0.3822, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3858902156352997, | |
| "step": 145, | |
| "valid_targets_mean": 2910.6, | |
| "valid_targets_min": 699 | |
| }, | |
| { | |
| "epoch": 0.25041736227045075, | |
| "grad_norm": 0.793386246739093, | |
| "learning_rate": 1.4190476190476192e-05, | |
| "loss": 0.3885, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.40752989053726196, | |
| "step": 150, | |
| "valid_targets_mean": 2232.0, | |
| "valid_targets_min": 693 | |
| }, | |
| { | |
| "epoch": 0.2587646076794658, | |
| "grad_norm": 0.7054845625096792, | |
| "learning_rate": 1.4666666666666666e-05, | |
| "loss": 0.3746, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.36771881580352783, | |
| "step": 155, | |
| "valid_targets_mean": 2490.8, | |
| "valid_targets_min": 520 | |
| }, | |
| { | |
| "epoch": 0.2671118530884808, | |
| "grad_norm": 0.8245710561947659, | |
| "learning_rate": 1.5142857142857144e-05, | |
| "loss": 0.3811, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.42931532859802246, | |
| "step": 160, | |
| "valid_targets_mean": 2966.5, | |
| "valid_targets_min": 690 | |
| }, | |
| { | |
| "epoch": 0.27545909849749584, | |
| "grad_norm": 0.9367959207676698, | |
| "learning_rate": 1.5619047619047622e-05, | |
| "loss": 0.3796, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.39394938945770264, | |
| "step": 165, | |
| "valid_targets_mean": 2375.9, | |
| "valid_targets_min": 909 | |
| }, | |
| { | |
| "epoch": 0.2838063439065108, | |
| "grad_norm": 0.7452788082591367, | |
| "learning_rate": 1.6095238095238096e-05, | |
| "loss": 0.3553, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3504602313041687, | |
| "step": 170, | |
| "valid_targets_mean": 2428.2, | |
| "valid_targets_min": 604 | |
| }, | |
| { | |
| "epoch": 0.2921535893155259, | |
| "grad_norm": 0.6706956192945309, | |
| "learning_rate": 1.6571428571428574e-05, | |
| "loss": 0.356, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33892327547073364, | |
| "step": 175, | |
| "valid_targets_mean": 2694.3, | |
| "valid_targets_min": 805 | |
| }, | |
| { | |
| "epoch": 0.3005008347245409, | |
| "grad_norm": 0.6450744053432401, | |
| "learning_rate": 1.704761904761905e-05, | |
| "loss": 0.3957, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31530341506004333, | |
| "step": 180, | |
| "valid_targets_mean": 2748.9, | |
| "valid_targets_min": 742 | |
| }, | |
| { | |
| "epoch": 0.3088480801335559, | |
| "grad_norm": 0.7122687871177076, | |
| "learning_rate": 1.7523809523809526e-05, | |
| "loss": 0.3614, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3535732626914978, | |
| "step": 185, | |
| "valid_targets_mean": 2628.3, | |
| "valid_targets_min": 618 | |
| }, | |
| { | |
| "epoch": 0.31719532554257096, | |
| "grad_norm": 0.6410610802258473, | |
| "learning_rate": 1.8e-05, | |
| "loss": 0.3721, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.38299959897994995, | |
| "step": 190, | |
| "valid_targets_mean": 3226.7, | |
| "valid_targets_min": 925 | |
| }, | |
| { | |
| "epoch": 0.32554257095158595, | |
| "grad_norm": 0.7519536354934145, | |
| "learning_rate": 1.8476190476190478e-05, | |
| "loss": 0.3463, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.39102399349212646, | |
| "step": 195, | |
| "valid_targets_mean": 3061.8, | |
| "valid_targets_min": 1000 | |
| }, | |
| { | |
| "epoch": 0.333889816360601, | |
| "grad_norm": 0.869110988708763, | |
| "learning_rate": 1.8952380952380953e-05, | |
| "loss": 0.3586, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.35571885108947754, | |
| "step": 200, | |
| "valid_targets_mean": 2081.0, | |
| "valid_targets_min": 949 | |
| }, | |
| { | |
| "epoch": 0.34223706176961605, | |
| "grad_norm": 0.7628250895843997, | |
| "learning_rate": 1.942857142857143e-05, | |
| "loss": 0.3613, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.37019288539886475, | |
| "step": 205, | |
| "valid_targets_mean": 2288.1, | |
| "valid_targets_min": 638 | |
| }, | |
| { | |
| "epoch": 0.35058430717863104, | |
| "grad_norm": 0.6709774464989092, | |
| "learning_rate": 1.9904761904761908e-05, | |
| "loss": 0.3793, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33823031187057495, | |
| "step": 210, | |
| "valid_targets_mean": 3179.8, | |
| "valid_targets_min": 929 | |
| }, | |
| { | |
| "epoch": 0.3589315525876461, | |
| "grad_norm": 0.7192151635508831, | |
| "learning_rate": 2.0380952380952382e-05, | |
| "loss": 0.3352, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33868905901908875, | |
| "step": 215, | |
| "valid_targets_mean": 2715.9, | |
| "valid_targets_min": 986 | |
| }, | |
| { | |
| "epoch": 0.3672787979966611, | |
| "grad_norm": 0.6469633018096315, | |
| "learning_rate": 2.085714285714286e-05, | |
| "loss": 0.3404, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3615769147872925, | |
| "step": 220, | |
| "valid_targets_mean": 3141.8, | |
| "valid_targets_min": 644 | |
| }, | |
| { | |
| "epoch": 0.3756260434056761, | |
| "grad_norm": 0.7640930887163769, | |
| "learning_rate": 2.1333333333333335e-05, | |
| "loss": 0.3582, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3568115830421448, | |
| "step": 225, | |
| "valid_targets_mean": 2293.8, | |
| "valid_targets_min": 1019 | |
| }, | |
| { | |
| "epoch": 0.38397328881469117, | |
| "grad_norm": 0.7181587877168871, | |
| "learning_rate": 2.180952380952381e-05, | |
| "loss": 0.3583, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.38162344694137573, | |
| "step": 230, | |
| "valid_targets_mean": 2645.1, | |
| "valid_targets_min": 812 | |
| }, | |
| { | |
| "epoch": 0.39232053422370616, | |
| "grad_norm": 0.803834346449949, | |
| "learning_rate": 2.2285714285714287e-05, | |
| "loss": 0.3721, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.43554484844207764, | |
| "step": 235, | |
| "valid_targets_mean": 2310.6, | |
| "valid_targets_min": 988 | |
| }, | |
| { | |
| "epoch": 0.4006677796327212, | |
| "grad_norm": 0.7952409835075342, | |
| "learning_rate": 2.2761904761904765e-05, | |
| "loss": 0.3278, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3816568851470947, | |
| "step": 240, | |
| "valid_targets_mean": 2280.4, | |
| "valid_targets_min": 982 | |
| }, | |
| { | |
| "epoch": 0.4090150250417362, | |
| "grad_norm": 0.7246105427812677, | |
| "learning_rate": 2.3238095238095242e-05, | |
| "loss": 0.3536, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3831411600112915, | |
| "step": 245, | |
| "valid_targets_mean": 2918.2, | |
| "valid_targets_min": 1227 | |
| }, | |
| { | |
| "epoch": 0.41736227045075125, | |
| "grad_norm": 0.8338708974356746, | |
| "learning_rate": 2.3714285714285717e-05, | |
| "loss": 0.3656, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4046775698661804, | |
| "step": 250, | |
| "valid_targets_mean": 2320.4, | |
| "valid_targets_min": 580 | |
| }, | |
| { | |
| "epoch": 0.4257095158597663, | |
| "grad_norm": 0.6393485320022019, | |
| "learning_rate": 2.419047619047619e-05, | |
| "loss": 0.3244, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3226710557937622, | |
| "step": 255, | |
| "valid_targets_mean": 3065.7, | |
| "valid_targets_min": 708 | |
| }, | |
| { | |
| "epoch": 0.4340567612687813, | |
| "grad_norm": 0.6842895103742899, | |
| "learning_rate": 2.466666666666667e-05, | |
| "loss": 0.3575, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.37478750944137573, | |
| "step": 260, | |
| "valid_targets_mean": 3703.2, | |
| "valid_targets_min": 933 | |
| }, | |
| { | |
| "epoch": 0.44240400667779634, | |
| "grad_norm": 0.6303158293010908, | |
| "learning_rate": 2.5142857142857143e-05, | |
| "loss": 0.344, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34078970551490784, | |
| "step": 265, | |
| "valid_targets_mean": 2905.3, | |
| "valid_targets_min": 792 | |
| }, | |
| { | |
| "epoch": 0.4507512520868113, | |
| "grad_norm": 0.803236946087365, | |
| "learning_rate": 2.5619047619047618e-05, | |
| "loss": 0.3727, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.41703659296035767, | |
| "step": 270, | |
| "valid_targets_mean": 2465.1, | |
| "valid_targets_min": 759 | |
| }, | |
| { | |
| "epoch": 0.4590984974958264, | |
| "grad_norm": 0.7803373412241122, | |
| "learning_rate": 2.60952380952381e-05, | |
| "loss": 0.3385, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3831275701522827, | |
| "step": 275, | |
| "valid_targets_mean": 2617.3, | |
| "valid_targets_min": 945 | |
| }, | |
| { | |
| "epoch": 0.4674457429048414, | |
| "grad_norm": 0.8278124298535766, | |
| "learning_rate": 2.6571428571428573e-05, | |
| "loss": 0.3546, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4114047884941101, | |
| "step": 280, | |
| "valid_targets_mean": 2283.2, | |
| "valid_targets_min": 485 | |
| }, | |
| { | |
| "epoch": 0.4757929883138564, | |
| "grad_norm": 0.8066324407668412, | |
| "learning_rate": 2.704761904761905e-05, | |
| "loss": 0.3281, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.36297842860221863, | |
| "step": 285, | |
| "valid_targets_mean": 2427.2, | |
| "valid_targets_min": 964 | |
| }, | |
| { | |
| "epoch": 0.48414023372287146, | |
| "grad_norm": 1.3375136899858193, | |
| "learning_rate": 2.7523809523809525e-05, | |
| "loss": 0.3384, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34834030270576477, | |
| "step": 290, | |
| "valid_targets_mean": 2393.3, | |
| "valid_targets_min": 874 | |
| }, | |
| { | |
| "epoch": 0.49248747913188645, | |
| "grad_norm": 0.7358089379961378, | |
| "learning_rate": 2.8e-05, | |
| "loss": 0.343, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.4069739580154419, | |
| "step": 295, | |
| "valid_targets_mean": 2538.5, | |
| "valid_targets_min": 687 | |
| }, | |
| { | |
| "epoch": 0.5008347245409015, | |
| "grad_norm": 0.8286273038250276, | |
| "learning_rate": 2.847619047619048e-05, | |
| "loss": 0.3463, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.380668967962265, | |
| "step": 300, | |
| "valid_targets_mean": 2283.1, | |
| "valid_targets_min": 1082 | |
| }, | |
| { | |
| "epoch": 0.5091819699499165, | |
| "grad_norm": 0.6754627666288634, | |
| "learning_rate": 2.8952380952380955e-05, | |
| "loss": 0.327, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3209186792373657, | |
| "step": 305, | |
| "valid_targets_mean": 2563.9, | |
| "valid_targets_min": 799 | |
| }, | |
| { | |
| "epoch": 0.5175292153589316, | |
| "grad_norm": 0.9034626565874669, | |
| "learning_rate": 2.9428571428571433e-05, | |
| "loss": 0.3425, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3576005697250366, | |
| "step": 310, | |
| "valid_targets_mean": 2912.7, | |
| "valid_targets_min": 1059 | |
| }, | |
| { | |
| "epoch": 0.5258764607679466, | |
| "grad_norm": 0.6229691306190667, | |
| "learning_rate": 2.9904761904761907e-05, | |
| "loss": 0.3908, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3698209524154663, | |
| "step": 315, | |
| "valid_targets_mean": 3144.4, | |
| "valid_targets_min": 912 | |
| }, | |
| { | |
| "epoch": 0.5342237061769616, | |
| "grad_norm": 0.8546076575277969, | |
| "learning_rate": 3.038095238095238e-05, | |
| "loss": 0.324, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.35709044337272644, | |
| "step": 320, | |
| "valid_targets_mean": 1687.7, | |
| "valid_targets_min": 943 | |
| }, | |
| { | |
| "epoch": 0.5425709515859767, | |
| "grad_norm": 0.7088960454793146, | |
| "learning_rate": 3.085714285714286e-05, | |
| "loss": 0.3154, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.32904744148254395, | |
| "step": 325, | |
| "valid_targets_mean": 2348.4, | |
| "valid_targets_min": 643 | |
| }, | |
| { | |
| "epoch": 0.5509181969949917, | |
| "grad_norm": 0.7925521311779707, | |
| "learning_rate": 3.1333333333333334e-05, | |
| "loss": 0.3392, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.41147422790527344, | |
| "step": 330, | |
| "valid_targets_mean": 2246.1, | |
| "valid_targets_min": 783 | |
| }, | |
| { | |
| "epoch": 0.5592654424040067, | |
| "grad_norm": 0.8177382664859416, | |
| "learning_rate": 3.180952380952381e-05, | |
| "loss": 0.3457, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3118923306465149, | |
| "step": 335, | |
| "valid_targets_mean": 1900.4, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 0.5676126878130217, | |
| "grad_norm": 0.7747926368677435, | |
| "learning_rate": 3.228571428571429e-05, | |
| "loss": 0.3495, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3130142092704773, | |
| "step": 340, | |
| "valid_targets_mean": 2124.5, | |
| "valid_targets_min": 496 | |
| }, | |
| { | |
| "epoch": 0.5759599332220368, | |
| "grad_norm": 0.7900340718873202, | |
| "learning_rate": 3.276190476190477e-05, | |
| "loss": 0.3416, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3983057141304016, | |
| "step": 345, | |
| "valid_targets_mean": 2209.1, | |
| "valid_targets_min": 787 | |
| }, | |
| { | |
| "epoch": 0.5843071786310517, | |
| "grad_norm": 0.7121802339807132, | |
| "learning_rate": 3.3238095238095245e-05, | |
| "loss": 0.3309, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.39473700523376465, | |
| "step": 350, | |
| "valid_targets_mean": 3028.6, | |
| "valid_targets_min": 1079 | |
| }, | |
| { | |
| "epoch": 0.5926544240400667, | |
| "grad_norm": 0.8922891190366636, | |
| "learning_rate": 3.3714285714285716e-05, | |
| "loss": 0.3336, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3380250036716461, | |
| "step": 355, | |
| "valid_targets_mean": 2014.2, | |
| "valid_targets_min": 664 | |
| }, | |
| { | |
| "epoch": 0.6010016694490818, | |
| "grad_norm": 0.6695806536241158, | |
| "learning_rate": 3.4190476190476194e-05, | |
| "loss": 0.3441, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.40140536427497864, | |
| "step": 360, | |
| "valid_targets_mean": 2965.8, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 0.6093489148580968, | |
| "grad_norm": 0.710440302237182, | |
| "learning_rate": 3.466666666666667e-05, | |
| "loss": 0.3189, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28060203790664673, | |
| "step": 365, | |
| "valid_targets_mean": 2308.4, | |
| "valid_targets_min": 715 | |
| }, | |
| { | |
| "epoch": 0.6176961602671118, | |
| "grad_norm": 0.7097755972881904, | |
| "learning_rate": 3.514285714285714e-05, | |
| "loss": 0.342, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3636694550514221, | |
| "step": 370, | |
| "valid_targets_mean": 2561.2, | |
| "valid_targets_min": 1000 | |
| }, | |
| { | |
| "epoch": 0.6260434056761269, | |
| "grad_norm": 0.8788436972894093, | |
| "learning_rate": 3.561904761904762e-05, | |
| "loss": 0.323, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3455510437488556, | |
| "step": 375, | |
| "valid_targets_mean": 1589.6, | |
| "valid_targets_min": 587 | |
| }, | |
| { | |
| "epoch": 0.6343906510851419, | |
| "grad_norm": 0.6597640705879878, | |
| "learning_rate": 3.60952380952381e-05, | |
| "loss": 0.3082, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27953580021858215, | |
| "step": 380, | |
| "valid_targets_mean": 2378.7, | |
| "valid_targets_min": 799 | |
| }, | |
| { | |
| "epoch": 0.6427378964941569, | |
| "grad_norm": 0.7892624596142306, | |
| "learning_rate": 3.6571428571428576e-05, | |
| "loss": 0.3528, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30219441652297974, | |
| "step": 385, | |
| "valid_targets_mean": 1884.8, | |
| "valid_targets_min": 618 | |
| }, | |
| { | |
| "epoch": 0.6510851419031719, | |
| "grad_norm": 0.8637864198120716, | |
| "learning_rate": 3.704761904761905e-05, | |
| "loss": 0.3536, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30112534761428833, | |
| "step": 390, | |
| "valid_targets_mean": 1779.1, | |
| "valid_targets_min": 528 | |
| }, | |
| { | |
| "epoch": 0.659432387312187, | |
| "grad_norm": 0.7302225440883133, | |
| "learning_rate": 3.7523809523809524e-05, | |
| "loss": 0.3302, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3421768844127655, | |
| "step": 395, | |
| "valid_targets_mean": 2351.8, | |
| "valid_targets_min": 578 | |
| }, | |
| { | |
| "epoch": 0.667779632721202, | |
| "grad_norm": 0.7424310243535049, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.3549, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.32466602325439453, | |
| "step": 400, | |
| "valid_targets_mean": 2133.6, | |
| "valid_targets_min": 686 | |
| }, | |
| { | |
| "epoch": 0.676126878130217, | |
| "grad_norm": 0.7112119939538417, | |
| "learning_rate": 3.847619047619048e-05, | |
| "loss": 0.3136, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.296672523021698, | |
| "step": 405, | |
| "valid_targets_mean": 2450.8, | |
| "valid_targets_min": 963 | |
| }, | |
| { | |
| "epoch": 0.6844741235392321, | |
| "grad_norm": 0.7850124283371369, | |
| "learning_rate": 3.895238095238096e-05, | |
| "loss": 0.315, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34217727184295654, | |
| "step": 410, | |
| "valid_targets_mean": 1896.9, | |
| "valid_targets_min": 866 | |
| }, | |
| { | |
| "epoch": 0.6928213689482471, | |
| "grad_norm": 0.6570487622025072, | |
| "learning_rate": 3.9428571428571435e-05, | |
| "loss": 0.3122, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34257471561431885, | |
| "step": 415, | |
| "valid_targets_mean": 2862.9, | |
| "valid_targets_min": 707 | |
| }, | |
| { | |
| "epoch": 0.7011686143572621, | |
| "grad_norm": 0.7179325156398435, | |
| "learning_rate": 3.9904761904761906e-05, | |
| "loss": 0.3219, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34124815464019775, | |
| "step": 420, | |
| "valid_targets_mean": 2090.7, | |
| "valid_targets_min": 554 | |
| }, | |
| { | |
| "epoch": 0.7095158597662772, | |
| "grad_norm": 0.6144369515649107, | |
| "learning_rate": 3.999988907084209e-05, | |
| "loss": 0.3401, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2786844074726105, | |
| "step": 425, | |
| "valid_targets_mean": 2647.7, | |
| "valid_targets_min": 921 | |
| }, | |
| { | |
| "epoch": 0.7178631051752922, | |
| "grad_norm": 0.5985082700689128, | |
| "learning_rate": 3.9999438423247035e-05, | |
| "loss": 0.3475, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.32772842049598694, | |
| "step": 430, | |
| "valid_targets_mean": 3107.7, | |
| "valid_targets_min": 524 | |
| }, | |
| { | |
| "epoch": 0.7262103505843072, | |
| "grad_norm": 0.6671709920532217, | |
| "learning_rate": 3.999864113194738e-05, | |
| "loss": 0.3259, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3186429440975189, | |
| "step": 435, | |
| "valid_targets_mean": 2705.6, | |
| "valid_targets_min": 709 | |
| }, | |
| { | |
| "epoch": 0.7345575959933222, | |
| "grad_norm": 0.8249822436419694, | |
| "learning_rate": 3.999749721076231e-05, | |
| "loss": 0.3005, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3638507127761841, | |
| "step": 440, | |
| "valid_targets_mean": 1918.1, | |
| "valid_targets_min": 649 | |
| }, | |
| { | |
| "epoch": 0.7429048414023373, | |
| "grad_norm": 0.8395818886697235, | |
| "learning_rate": 3.9996006679519054e-05, | |
| "loss": 0.3109, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3661022186279297, | |
| "step": 445, | |
| "valid_targets_mean": 2402.5, | |
| "valid_targets_min": 530 | |
| }, | |
| { | |
| "epoch": 0.7512520868113522, | |
| "grad_norm": 0.5614572174095006, | |
| "learning_rate": 3.9994169564052486e-05, | |
| "loss": 0.3027, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27668917179107666, | |
| "step": 450, | |
| "valid_targets_mean": 3654.5, | |
| "valid_targets_min": 1125 | |
| }, | |
| { | |
| "epoch": 0.7595993322203672, | |
| "grad_norm": 0.6522985817897391, | |
| "learning_rate": 3.999198589620473e-05, | |
| "loss": 0.3655, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.38943803310394287, | |
| "step": 455, | |
| "valid_targets_mean": 2856.8, | |
| "valid_targets_min": 840 | |
| }, | |
| { | |
| "epoch": 0.7679465776293823, | |
| "grad_norm": 0.7438291259821956, | |
| "learning_rate": 3.998945571382458e-05, | |
| "loss": 0.3167, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3215874433517456, | |
| "step": 460, | |
| "valid_targets_mean": 2226.6, | |
| "valid_targets_min": 841 | |
| }, | |
| { | |
| "epoch": 0.7762938230383973, | |
| "grad_norm": 0.726789786479743, | |
| "learning_rate": 3.9986579060766866e-05, | |
| "loss": 0.3321, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2627006769180298, | |
| "step": 465, | |
| "valid_targets_mean": 2022.9, | |
| "valid_targets_min": 879 | |
| }, | |
| { | |
| "epoch": 0.7846410684474123, | |
| "grad_norm": 0.7163196779832347, | |
| "learning_rate": 3.9983355986891664e-05, | |
| "loss": 0.3146, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.32649943232536316, | |
| "step": 470, | |
| "valid_targets_mean": 2535.6, | |
| "valid_targets_min": 721 | |
| }, | |
| { | |
| "epoch": 0.7929883138564274, | |
| "grad_norm": 0.6970478246231899, | |
| "learning_rate": 3.9979786548063454e-05, | |
| "loss": 0.2902, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26147031784057617, | |
| "step": 475, | |
| "valid_targets_mean": 2178.3, | |
| "valid_targets_min": 513 | |
| }, | |
| { | |
| "epoch": 0.8013355592654424, | |
| "grad_norm": 0.799911102232111, | |
| "learning_rate": 3.997587080615016e-05, | |
| "loss": 0.3406, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3076505661010742, | |
| "step": 480, | |
| "valid_targets_mean": 1970.3, | |
| "valid_targets_min": 1051 | |
| }, | |
| { | |
| "epoch": 0.8096828046744574, | |
| "grad_norm": 0.8184414432450198, | |
| "learning_rate": 3.9971608829022036e-05, | |
| "loss": 0.3143, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27848586440086365, | |
| "step": 485, | |
| "valid_targets_mean": 2767.8, | |
| "valid_targets_min": 653 | |
| }, | |
| { | |
| "epoch": 0.8180300500834724, | |
| "grad_norm": 0.7281485204639897, | |
| "learning_rate": 3.996700069055054e-05, | |
| "loss": 0.3028, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31602007150650024, | |
| "step": 490, | |
| "valid_targets_mean": 2257.2, | |
| "valid_targets_min": 641 | |
| }, | |
| { | |
| "epoch": 0.8263772954924875, | |
| "grad_norm": 0.6938466384081636, | |
| "learning_rate": 3.9962046470607034e-05, | |
| "loss": 0.3143, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31599387526512146, | |
| "step": 495, | |
| "valid_targets_mean": 2485.4, | |
| "valid_targets_min": 501 | |
| }, | |
| { | |
| "epoch": 0.8347245409015025, | |
| "grad_norm": 1.1888217696917323, | |
| "learning_rate": 3.995674625506137e-05, | |
| "loss": 0.3197, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30969738960266113, | |
| "step": 500, | |
| "valid_targets_mean": 2349.2, | |
| "valid_targets_min": 900 | |
| }, | |
| { | |
| "epoch": 0.8430717863105175, | |
| "grad_norm": 0.5898683146017418, | |
| "learning_rate": 3.995110013578046e-05, | |
| "loss": 0.3213, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3188744783401489, | |
| "step": 505, | |
| "valid_targets_mean": 2831.1, | |
| "valid_targets_min": 1139 | |
| }, | |
| { | |
| "epoch": 0.8514190317195326, | |
| "grad_norm": 0.6469354559288124, | |
| "learning_rate": 3.9945108210626635e-05, | |
| "loss": 0.308, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27451348304748535, | |
| "step": 510, | |
| "valid_targets_mean": 2271.3, | |
| "valid_targets_min": 990 | |
| }, | |
| { | |
| "epoch": 0.8597662771285476, | |
| "grad_norm": 0.6862712698126633, | |
| "learning_rate": 3.9938770583455955e-05, | |
| "loss": 0.3308, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.38486266136169434, | |
| "step": 515, | |
| "valid_targets_mean": 3247.4, | |
| "valid_targets_min": 1217 | |
| }, | |
| { | |
| "epoch": 0.8681135225375626, | |
| "grad_norm": 0.5924716914409707, | |
| "learning_rate": 3.9932087364116446e-05, | |
| "loss": 0.3297, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2953488826751709, | |
| "step": 520, | |
| "valid_targets_mean": 3172.7, | |
| "valid_targets_min": 710 | |
| }, | |
| { | |
| "epoch": 0.8764607679465777, | |
| "grad_norm": 0.6222540733349502, | |
| "learning_rate": 3.992505866844615e-05, | |
| "loss": 0.2943, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2345266193151474, | |
| "step": 525, | |
| "valid_targets_mean": 2900.1, | |
| "valid_targets_min": 556 | |
| }, | |
| { | |
| "epoch": 0.8848080133555927, | |
| "grad_norm": 0.7543318131125992, | |
| "learning_rate": 3.991768461827114e-05, | |
| "loss": 0.3308, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3501376211643219, | |
| "step": 530, | |
| "valid_targets_mean": 2041.9, | |
| "valid_targets_min": 776 | |
| }, | |
| { | |
| "epoch": 0.8931552587646077, | |
| "grad_norm": 0.7099560675938891, | |
| "learning_rate": 3.990996534140342e-05, | |
| "loss": 0.3254, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2954036593437195, | |
| "step": 535, | |
| "valid_targets_mean": 2134.9, | |
| "valid_targets_min": 935 | |
| }, | |
| { | |
| "epoch": 0.9015025041736227, | |
| "grad_norm": 0.7704282842479314, | |
| "learning_rate": 3.990190097163867e-05, | |
| "loss": 0.2939, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2950887084007263, | |
| "step": 540, | |
| "valid_targets_mean": 1977.1, | |
| "valid_targets_min": 568 | |
| }, | |
| { | |
| "epoch": 0.9098497495826378, | |
| "grad_norm": 0.7075265637767415, | |
| "learning_rate": 3.989349164875397e-05, | |
| "loss": 0.3053, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3461377024650574, | |
| "step": 545, | |
| "valid_targets_mean": 2553.9, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 0.9181969949916527, | |
| "grad_norm": 0.7646642465906041, | |
| "learning_rate": 3.988473751850536e-05, | |
| "loss": 0.3111, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3075540065765381, | |
| "step": 550, | |
| "valid_targets_mean": 2153.9, | |
| "valid_targets_min": 792 | |
| }, | |
| { | |
| "epoch": 0.9265442404006677, | |
| "grad_norm": 0.7455652126408486, | |
| "learning_rate": 3.98756387326253e-05, | |
| "loss": 0.3181, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3557898998260498, | |
| "step": 555, | |
| "valid_targets_mean": 2320.8, | |
| "valid_targets_min": 651 | |
| }, | |
| { | |
| "epoch": 0.9348914858096828, | |
| "grad_norm": 0.7448132010417806, | |
| "learning_rate": 3.9866195448820066e-05, | |
| "loss": 0.3122, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.292105495929718, | |
| "step": 560, | |
| "valid_targets_mean": 1784.8, | |
| "valid_targets_min": 912 | |
| }, | |
| { | |
| "epoch": 0.9432387312186978, | |
| "grad_norm": 0.5358142548623265, | |
| "learning_rate": 3.985640783076699e-05, | |
| "loss": 0.313, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26325780153274536, | |
| "step": 565, | |
| "valid_targets_mean": 3083.5, | |
| "valid_targets_min": 1049 | |
| }, | |
| { | |
| "epoch": 0.9515859766277128, | |
| "grad_norm": 0.6281715819326231, | |
| "learning_rate": 3.984627604811166e-05, | |
| "loss": 0.3201, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3475627303123474, | |
| "step": 570, | |
| "valid_targets_mean": 2901.7, | |
| "valid_targets_min": 874 | |
| }, | |
| { | |
| "epoch": 0.9599332220367279, | |
| "grad_norm": 0.6125370271699637, | |
| "learning_rate": 3.983580027646492e-05, | |
| "loss": 0.292, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28098058700561523, | |
| "step": 575, | |
| "valid_targets_mean": 2742.2, | |
| "valid_targets_min": 1126 | |
| }, | |
| { | |
| "epoch": 0.9682804674457429, | |
| "grad_norm": 0.7735134366550798, | |
| "learning_rate": 3.9824980697399906e-05, | |
| "loss": 0.3159, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3102591037750244, | |
| "step": 580, | |
| "valid_targets_mean": 1958.9, | |
| "valid_targets_min": 640 | |
| }, | |
| { | |
| "epoch": 0.9766277128547579, | |
| "grad_norm": 0.6709556468624875, | |
| "learning_rate": 3.981381749844882e-05, | |
| "loss": 0.3347, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3324657082557678, | |
| "step": 585, | |
| "valid_targets_mean": 2534.3, | |
| "valid_targets_min": 857 | |
| }, | |
| { | |
| "epoch": 0.9849749582637729, | |
| "grad_norm": 0.6511544183236323, | |
| "learning_rate": 3.980231087309971e-05, | |
| "loss": 0.3182, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29707223176956177, | |
| "step": 590, | |
| "valid_targets_mean": 2435.8, | |
| "valid_targets_min": 729 | |
| }, | |
| { | |
| "epoch": 0.993322203672788, | |
| "grad_norm": 0.6615644654517941, | |
| "learning_rate": 3.9790461020793166e-05, | |
| "loss": 0.3082, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3110125660896301, | |
| "step": 595, | |
| "valid_targets_mean": 2898.8, | |
| "valid_targets_min": 971 | |
| }, | |
| { | |
| "epoch": 1.001669449081803, | |
| "grad_norm": 0.6925031228370271, | |
| "learning_rate": 3.977826814691878e-05, | |
| "loss": 0.3179, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31865161657333374, | |
| "step": 600, | |
| "valid_targets_mean": 2244.9, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 1.010016694490818, | |
| "grad_norm": 0.8148668812959788, | |
| "learning_rate": 3.9765732462811625e-05, | |
| "loss": 0.284, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26927098631858826, | |
| "step": 605, | |
| "valid_targets_mean": 2563.4, | |
| "valid_targets_min": 784 | |
| }, | |
| { | |
| "epoch": 1.018363939899833, | |
| "grad_norm": 0.9245401324608014, | |
| "learning_rate": 3.975285418574862e-05, | |
| "loss": 0.3081, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31719428300857544, | |
| "step": 610, | |
| "valid_targets_mean": 1617.6, | |
| "valid_targets_min": 689 | |
| }, | |
| { | |
| "epoch": 1.026711185308848, | |
| "grad_norm": 0.730619597919056, | |
| "learning_rate": 3.97396335389447e-05, | |
| "loss": 0.2998, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3002278208732605, | |
| "step": 615, | |
| "valid_targets_mean": 2026.3, | |
| "valid_targets_min": 517 | |
| }, | |
| { | |
| "epoch": 1.0350584307178632, | |
| "grad_norm": 0.6618374979258586, | |
| "learning_rate": 3.972607075154901e-05, | |
| "loss": 0.3004, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3087610602378845, | |
| "step": 620, | |
| "valid_targets_mean": 2641.1, | |
| "valid_targets_min": 750 | |
| }, | |
| { | |
| "epoch": 1.0434056761268782, | |
| "grad_norm": 0.7876798130112941, | |
| "learning_rate": 3.971216605864087e-05, | |
| "loss": 0.3073, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3213345408439636, | |
| "step": 625, | |
| "valid_targets_mean": 1834.5, | |
| "valid_targets_min": 465 | |
| }, | |
| { | |
| "epoch": 1.0517529215358932, | |
| "grad_norm": 0.6664972756436637, | |
| "learning_rate": 3.969791970122579e-05, | |
| "loss": 0.2973, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2779656946659088, | |
| "step": 630, | |
| "valid_targets_mean": 2411.5, | |
| "valid_targets_min": 779 | |
| }, | |
| { | |
| "epoch": 1.0601001669449082, | |
| "grad_norm": 0.6557675352120678, | |
| "learning_rate": 3.96833319262312e-05, | |
| "loss": 0.2848, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30672335624694824, | |
| "step": 635, | |
| "valid_targets_mean": 2686.2, | |
| "valid_targets_min": 1016 | |
| }, | |
| { | |
| "epoch": 1.0684474123539232, | |
| "grad_norm": 0.7366689516699302, | |
| "learning_rate": 3.9668402986502214e-05, | |
| "loss": 0.2771, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2567709684371948, | |
| "step": 640, | |
| "valid_targets_mean": 2103.4, | |
| "valid_targets_min": 899 | |
| }, | |
| { | |
| "epoch": 1.0767946577629381, | |
| "grad_norm": 0.6786077419659672, | |
| "learning_rate": 3.9653133140797244e-05, | |
| "loss": 0.2866, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28523096442222595, | |
| "step": 645, | |
| "valid_targets_mean": 2235.8, | |
| "valid_targets_min": 728 | |
| }, | |
| { | |
| "epoch": 1.0851419031719534, | |
| "grad_norm": 0.6722798110378215, | |
| "learning_rate": 3.963752265378352e-05, | |
| "loss": 0.2926, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3066675066947937, | |
| "step": 650, | |
| "valid_targets_mean": 3009.1, | |
| "valid_targets_min": 1075 | |
| }, | |
| { | |
| "epoch": 1.0934891485809684, | |
| "grad_norm": 0.5809953581012779, | |
| "learning_rate": 3.962157179603249e-05, | |
| "loss": 0.2934, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2642176151275635, | |
| "step": 655, | |
| "valid_targets_mean": 2994.9, | |
| "valid_targets_min": 1049 | |
| }, | |
| { | |
| "epoch": 1.1018363939899833, | |
| "grad_norm": 0.6497382434554982, | |
| "learning_rate": 3.960528084401515e-05, | |
| "loss": 0.2955, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2527881860733032, | |
| "step": 660, | |
| "valid_targets_mean": 2512.1, | |
| "valid_targets_min": 790 | |
| }, | |
| { | |
| "epoch": 1.1101836393989983, | |
| "grad_norm": 0.7927971345907558, | |
| "learning_rate": 3.9588650080097196e-05, | |
| "loss": 0.3056, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27148202061653137, | |
| "step": 665, | |
| "valid_targets_mean": 2012.3, | |
| "valid_targets_min": 747 | |
| }, | |
| { | |
| "epoch": 1.1185308848080133, | |
| "grad_norm": 0.6247066737404297, | |
| "learning_rate": 3.957167979253424e-05, | |
| "loss": 0.2988, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.32327088713645935, | |
| "step": 670, | |
| "valid_targets_mean": 2624.7, | |
| "valid_targets_min": 637 | |
| }, | |
| { | |
| "epoch": 1.1268781302170283, | |
| "grad_norm": 0.7712891792290059, | |
| "learning_rate": 3.955437027546668e-05, | |
| "loss": 0.289, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28323817253112793, | |
| "step": 675, | |
| "valid_targets_mean": 2072.2, | |
| "valid_targets_min": 543 | |
| }, | |
| { | |
| "epoch": 1.1352253756260433, | |
| "grad_norm": 0.7262488608005806, | |
| "learning_rate": 3.953672182891471e-05, | |
| "loss": 0.2718, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2692265212535858, | |
| "step": 680, | |
| "valid_targets_mean": 1893.2, | |
| "valid_targets_min": 772 | |
| }, | |
| { | |
| "epoch": 1.1435726210350585, | |
| "grad_norm": 0.7262705295475789, | |
| "learning_rate": 3.951873475877306e-05, | |
| "loss": 0.2864, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3586205244064331, | |
| "step": 685, | |
| "valid_targets_mean": 2606.6, | |
| "valid_targets_min": 690 | |
| }, | |
| { | |
| "epoch": 1.1519198664440735, | |
| "grad_norm": 0.7721103060094741, | |
| "learning_rate": 3.950040937680572e-05, | |
| "loss": 0.2789, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2925747036933899, | |
| "step": 690, | |
| "valid_targets_mean": 1796.0, | |
| "valid_targets_min": 663 | |
| }, | |
| { | |
| "epoch": 1.1602671118530885, | |
| "grad_norm": 0.6842744671644466, | |
| "learning_rate": 3.948174600064051e-05, | |
| "loss": 0.2639, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2648618817329407, | |
| "step": 695, | |
| "valid_targets_mean": 2290.5, | |
| "valid_targets_min": 737 | |
| }, | |
| { | |
| "epoch": 1.1686143572621035, | |
| "grad_norm": 0.656718120082803, | |
| "learning_rate": 3.946274495376362e-05, | |
| "loss": 0.2964, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2847689688205719, | |
| "step": 700, | |
| "valid_targets_mean": 2546.4, | |
| "valid_targets_min": 791 | |
| }, | |
| { | |
| "epoch": 1.1769616026711185, | |
| "grad_norm": 0.7878968439295934, | |
| "learning_rate": 3.9443406565513963e-05, | |
| "loss": 0.2963, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30074936151504517, | |
| "step": 705, | |
| "valid_targets_mean": 1994.2, | |
| "valid_targets_min": 763 | |
| }, | |
| { | |
| "epoch": 1.1853088480801335, | |
| "grad_norm": 0.7760816104388267, | |
| "learning_rate": 3.9423731171077465e-05, | |
| "loss": 0.3017, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33796241879463196, | |
| "step": 710, | |
| "valid_targets_mean": 1973.6, | |
| "valid_targets_min": 801 | |
| }, | |
| { | |
| "epoch": 1.1936560934891487, | |
| "grad_norm": 0.6538248284993325, | |
| "learning_rate": 3.9403719111481295e-05, | |
| "loss": 0.2882, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24952328205108643, | |
| "step": 715, | |
| "valid_targets_mean": 2361.2, | |
| "valid_targets_min": 820 | |
| }, | |
| { | |
| "epoch": 1.2020033388981637, | |
| "grad_norm": 0.668487216975976, | |
| "learning_rate": 3.9383370733587905e-05, | |
| "loss": 0.2731, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2628505527973175, | |
| "step": 720, | |
| "valid_targets_mean": 3307.4, | |
| "valid_targets_min": 813 | |
| }, | |
| { | |
| "epoch": 1.2103505843071787, | |
| "grad_norm": 0.6416354597973719, | |
| "learning_rate": 3.936268639008906e-05, | |
| "loss": 0.272, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29763877391815186, | |
| "step": 725, | |
| "valid_targets_mean": 3056.4, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 1.2186978297161937, | |
| "grad_norm": 0.7622708003529245, | |
| "learning_rate": 3.93416664394997e-05, | |
| "loss": 0.2921, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.36244598031044006, | |
| "step": 730, | |
| "valid_targets_mean": 2071.6, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 1.2270450751252087, | |
| "grad_norm": 0.6696419661832687, | |
| "learning_rate": 3.932031124615172e-05, | |
| "loss": 0.279, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27058809995651245, | |
| "step": 735, | |
| "valid_targets_mean": 2621.4, | |
| "valid_targets_min": 750 | |
| }, | |
| { | |
| "epoch": 1.2353923205342237, | |
| "grad_norm": 0.802081725552066, | |
| "learning_rate": 3.92986211801877e-05, | |
| "loss": 0.2719, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.33007490634918213, | |
| "step": 740, | |
| "valid_targets_mean": 1970.3, | |
| "valid_targets_min": 743 | |
| }, | |
| { | |
| "epoch": 1.2437395659432386, | |
| "grad_norm": 0.7501025102767808, | |
| "learning_rate": 3.927659661755442e-05, | |
| "loss": 0.2912, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2953328490257263, | |
| "step": 745, | |
| "valid_targets_mean": 2254.4, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 1.2520868113522536, | |
| "grad_norm": 0.5643469220052163, | |
| "learning_rate": 3.925423793999641e-05, | |
| "loss": 0.2739, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23602071404457092, | |
| "step": 750, | |
| "valid_targets_mean": 3197.0, | |
| "valid_targets_min": 946 | |
| }, | |
| { | |
| "epoch": 1.2604340567612689, | |
| "grad_norm": 0.682690790334389, | |
| "learning_rate": 3.923154553504929e-05, | |
| "loss": 0.2764, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2616035044193268, | |
| "step": 755, | |
| "valid_targets_mean": 2231.5, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 1.2687813021702838, | |
| "grad_norm": 0.7059052444592488, | |
| "learning_rate": 3.920851979603306e-05, | |
| "loss": 0.2993, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30173906683921814, | |
| "step": 760, | |
| "valid_targets_mean": 2488.7, | |
| "valid_targets_min": 601 | |
| }, | |
| { | |
| "epoch": 1.2771285475792988, | |
| "grad_norm": 0.6938294520982723, | |
| "learning_rate": 3.918516112204532e-05, | |
| "loss": 0.2984, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3000032305717468, | |
| "step": 765, | |
| "valid_targets_mean": 2336.4, | |
| "valid_targets_min": 909 | |
| }, | |
| { | |
| "epoch": 1.2854757929883138, | |
| "grad_norm": 0.7316078096187626, | |
| "learning_rate": 3.9161469917954273e-05, | |
| "loss": 0.3162, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2872254252433777, | |
| "step": 770, | |
| "valid_targets_mean": 2003.9, | |
| "valid_targets_min": 869 | |
| }, | |
| { | |
| "epoch": 1.2938230383973288, | |
| "grad_norm": 0.6454159589129043, | |
| "learning_rate": 3.913744659439181e-05, | |
| "loss": 0.2742, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.31085219979286194, | |
| "step": 775, | |
| "valid_targets_mean": 3016.9, | |
| "valid_targets_min": 661 | |
| }, | |
| { | |
| "epoch": 1.302170283806344, | |
| "grad_norm": 0.609800583127232, | |
| "learning_rate": 3.911309156774631e-05, | |
| "loss": 0.2749, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26211488246917725, | |
| "step": 780, | |
| "valid_targets_mean": 2690.8, | |
| "valid_targets_min": 1089 | |
| }, | |
| { | |
| "epoch": 1.310517529215359, | |
| "grad_norm": 0.7454228979544445, | |
| "learning_rate": 3.908840526015547e-05, | |
| "loss": 0.2811, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28145360946655273, | |
| "step": 785, | |
| "valid_targets_mean": 2019.0, | |
| "valid_targets_min": 710 | |
| }, | |
| { | |
| "epoch": 1.318864774624374, | |
| "grad_norm": 0.8124525357830179, | |
| "learning_rate": 3.906338809949893e-05, | |
| "loss": 0.3044, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28970903158187866, | |
| "step": 790, | |
| "valid_targets_mean": 1658.8, | |
| "valid_targets_min": 579 | |
| }, | |
| { | |
| "epoch": 1.327212020033389, | |
| "grad_norm": 0.6338374166724755, | |
| "learning_rate": 3.903804051939096e-05, | |
| "loss": 0.2998, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27867740392684937, | |
| "step": 795, | |
| "valid_targets_mean": 2496.6, | |
| "valid_targets_min": 987 | |
| }, | |
| { | |
| "epoch": 1.335559265442404, | |
| "grad_norm": 0.685595016138172, | |
| "learning_rate": 3.9012362959172834e-05, | |
| "loss": 0.3111, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30850112438201904, | |
| "step": 800, | |
| "valid_targets_mean": 2616.1, | |
| "valid_targets_min": 781 | |
| }, | |
| { | |
| "epoch": 1.343906510851419, | |
| "grad_norm": 0.6255627776622107, | |
| "learning_rate": 3.898635586390528e-05, | |
| "loss": 0.2954, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2908719480037689, | |
| "step": 805, | |
| "valid_targets_mean": 2888.5, | |
| "valid_targets_min": 1089 | |
| }, | |
| { | |
| "epoch": 1.352253756260434, | |
| "grad_norm": 0.6368055210273411, | |
| "learning_rate": 3.8960019684360756e-05, | |
| "loss": 0.2763, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2912788987159729, | |
| "step": 810, | |
| "valid_targets_mean": 2670.8, | |
| "valid_targets_min": 459 | |
| }, | |
| { | |
| "epoch": 1.360601001669449, | |
| "grad_norm": 0.7991727370645318, | |
| "learning_rate": 3.8933354877015606e-05, | |
| "loss": 0.3138, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2930360734462738, | |
| "step": 815, | |
| "valid_targets_mean": 1936.2, | |
| "valid_targets_min": 546 | |
| }, | |
| { | |
| "epoch": 1.3689482470784642, | |
| "grad_norm": 0.7817522753492604, | |
| "learning_rate": 3.89063619040422e-05, | |
| "loss": 0.2804, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28804096579551697, | |
| "step": 820, | |
| "valid_targets_mean": 1859.6, | |
| "valid_targets_min": 805 | |
| }, | |
| { | |
| "epoch": 1.3772954924874792, | |
| "grad_norm": 0.6724785167267319, | |
| "learning_rate": 3.887904123330088e-05, | |
| "loss": 0.2748, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26175278425216675, | |
| "step": 825, | |
| "valid_targets_mean": 2268.2, | |
| "valid_targets_min": 889 | |
| }, | |
| { | |
| "epoch": 1.3856427378964942, | |
| "grad_norm": 0.5396055611622669, | |
| "learning_rate": 3.885139333833186e-05, | |
| "loss": 0.2967, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26283103227615356, | |
| "step": 830, | |
| "valid_targets_mean": 3288.2, | |
| "valid_targets_min": 847 | |
| }, | |
| { | |
| "epoch": 1.3939899833055092, | |
| "grad_norm": 0.7121366274762221, | |
| "learning_rate": 3.882341869834704e-05, | |
| "loss": 0.2512, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24692749977111816, | |
| "step": 835, | |
| "valid_targets_mean": 1878.3, | |
| "valid_targets_min": 706 | |
| }, | |
| { | |
| "epoch": 1.4023372287145242, | |
| "grad_norm": 0.7243796728129323, | |
| "learning_rate": 3.879511779822168e-05, | |
| "loss": 0.2858, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.35578879714012146, | |
| "step": 840, | |
| "valid_targets_mean": 2670.4, | |
| "valid_targets_min": 824 | |
| }, | |
| { | |
| "epoch": 1.4106844741235394, | |
| "grad_norm": 0.5806404873594075, | |
| "learning_rate": 3.8766491128486e-05, | |
| "loss": 0.2756, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2863224744796753, | |
| "step": 845, | |
| "valid_targets_mean": 3360.6, | |
| "valid_targets_min": 515 | |
| }, | |
| { | |
| "epoch": 1.4190317195325544, | |
| "grad_norm": 0.651007046670553, | |
| "learning_rate": 3.873753918531666e-05, | |
| "loss": 0.2852, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25990986824035645, | |
| "step": 850, | |
| "valid_targets_mean": 2272.2, | |
| "valid_targets_min": 526 | |
| }, | |
| { | |
| "epoch": 1.4273789649415694, | |
| "grad_norm": 0.7884642868985011, | |
| "learning_rate": 3.87082624705282e-05, | |
| "loss": 0.2852, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2782127261161804, | |
| "step": 855, | |
| "valid_targets_mean": 1938.4, | |
| "valid_targets_min": 925 | |
| }, | |
| { | |
| "epoch": 1.4357262103505843, | |
| "grad_norm": 0.6338249659261851, | |
| "learning_rate": 3.867866149156431e-05, | |
| "loss": 0.2701, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25381916761398315, | |
| "step": 860, | |
| "valid_targets_mean": 2396.1, | |
| "valid_targets_min": 507 | |
| }, | |
| { | |
| "epoch": 1.4440734557595993, | |
| "grad_norm": 0.6510610863993852, | |
| "learning_rate": 3.8648736761489043e-05, | |
| "loss": 0.3007, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.263117253780365, | |
| "step": 865, | |
| "valid_targets_mean": 2294.6, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 1.4524207011686143, | |
| "grad_norm": 0.7433826768152452, | |
| "learning_rate": 3.861848879897794e-05, | |
| "loss": 0.2999, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3034513294696808, | |
| "step": 870, | |
| "valid_targets_mean": 1995.8, | |
| "valid_targets_min": 643 | |
| }, | |
| { | |
| "epoch": 1.4607679465776293, | |
| "grad_norm": 0.7594175670087351, | |
| "learning_rate": 3.8587918128309e-05, | |
| "loss": 0.2732, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29318055510520935, | |
| "step": 875, | |
| "valid_targets_mean": 1931.1, | |
| "valid_targets_min": 944 | |
| }, | |
| { | |
| "epoch": 1.4691151919866443, | |
| "grad_norm": 0.7333273932018377, | |
| "learning_rate": 3.855702527935363e-05, | |
| "loss": 0.2951, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27202150225639343, | |
| "step": 880, | |
| "valid_targets_mean": 2107.9, | |
| "valid_targets_min": 601 | |
| }, | |
| { | |
| "epoch": 1.4774624373956593, | |
| "grad_norm": 0.742761990673193, | |
| "learning_rate": 3.852581078756745e-05, | |
| "loss": 0.3166, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.41072383522987366, | |
| "step": 885, | |
| "valid_targets_mean": 2426.4, | |
| "valid_targets_min": 301 | |
| }, | |
| { | |
| "epoch": 1.4858096828046745, | |
| "grad_norm": 0.6845584557112703, | |
| "learning_rate": 3.8494275193981e-05, | |
| "loss": 0.2845, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29102623462677, | |
| "step": 890, | |
| "valid_targets_mean": 2549.4, | |
| "valid_targets_min": 896 | |
| }, | |
| { | |
| "epoch": 1.4941569282136895, | |
| "grad_norm": 0.7046436774469004, | |
| "learning_rate": 3.8462419045190385e-05, | |
| "loss": 0.3106, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28963133692741394, | |
| "step": 895, | |
| "valid_targets_mean": 2068.2, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 1.5025041736227045, | |
| "grad_norm": 0.7907654382570969, | |
| "learning_rate": 3.8430242893347765e-05, | |
| "loss": 0.2842, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2805490791797638, | |
| "step": 900, | |
| "valid_targets_mean": 1607.1, | |
| "valid_targets_min": 831 | |
| }, | |
| { | |
| "epoch": 1.5108514190317195, | |
| "grad_norm": 0.6915172015692203, | |
| "learning_rate": 3.839774729615184e-05, | |
| "loss": 0.296, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2792760133743286, | |
| "step": 905, | |
| "valid_targets_mean": 2099.8, | |
| "valid_targets_min": 778 | |
| }, | |
| { | |
| "epoch": 1.5191986644407347, | |
| "grad_norm": 0.8432793308275359, | |
| "learning_rate": 3.8364932816838124e-05, | |
| "loss": 0.2883, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2922583818435669, | |
| "step": 910, | |
| "valid_targets_mean": 1637.9, | |
| "valid_targets_min": 1063 | |
| }, | |
| { | |
| "epoch": 1.5275459098497497, | |
| "grad_norm": 0.6933486076711197, | |
| "learning_rate": 3.833180002416922e-05, | |
| "loss": 0.2858, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2783495783805847, | |
| "step": 915, | |
| "valid_targets_mean": 1931.9, | |
| "valid_targets_min": 568 | |
| }, | |
| { | |
| "epoch": 1.5358931552587647, | |
| "grad_norm": 0.8555990601110476, | |
| "learning_rate": 3.829834949242496e-05, | |
| "loss": 0.2702, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24759122729301453, | |
| "step": 920, | |
| "valid_targets_mean": 2103.7, | |
| "valid_targets_min": 402 | |
| }, | |
| { | |
| "epoch": 1.5442404006677797, | |
| "grad_norm": 0.6312084882799459, | |
| "learning_rate": 3.826458180139244e-05, | |
| "loss": 0.2723, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28182315826416016, | |
| "step": 925, | |
| "valid_targets_mean": 2652.2, | |
| "valid_targets_min": 791 | |
| }, | |
| { | |
| "epoch": 1.5525876460767947, | |
| "grad_norm": 0.7032857827182569, | |
| "learning_rate": 3.823049753635596e-05, | |
| "loss": 0.3098, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2833642065525055, | |
| "step": 930, | |
| "valid_targets_mean": 2140.2, | |
| "valid_targets_min": 433 | |
| }, | |
| { | |
| "epoch": 1.5609348914858097, | |
| "grad_norm": 0.6992936342297782, | |
| "learning_rate": 3.81960972880869e-05, | |
| "loss": 0.2658, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.270283967256546, | |
| "step": 935, | |
| "valid_targets_mean": 2097.2, | |
| "valid_targets_min": 529 | |
| }, | |
| { | |
| "epoch": 1.5692821368948247, | |
| "grad_norm": 0.6478109681184681, | |
| "learning_rate": 3.8161381652833485e-05, | |
| "loss": 0.2831, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3308855891227722, | |
| "step": 940, | |
| "valid_targets_mean": 2981.6, | |
| "valid_targets_min": 933 | |
| }, | |
| { | |
| "epoch": 1.5776293823038396, | |
| "grad_norm": 0.6430467605687435, | |
| "learning_rate": 3.812635123231043e-05, | |
| "loss": 0.2813, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28764796257019043, | |
| "step": 945, | |
| "valid_targets_mean": 2555.7, | |
| "valid_targets_min": 557 | |
| }, | |
| { | |
| "epoch": 1.5859766277128546, | |
| "grad_norm": 0.6372116005583673, | |
| "learning_rate": 3.809100663368852e-05, | |
| "loss": 0.2678, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2468167543411255, | |
| "step": 950, | |
| "valid_targets_mean": 2827.8, | |
| "valid_targets_min": 849 | |
| }, | |
| { | |
| "epoch": 1.5943238731218696, | |
| "grad_norm": 0.7026656221278749, | |
| "learning_rate": 3.805534846958408e-05, | |
| "loss": 0.2855, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28463542461395264, | |
| "step": 955, | |
| "valid_targets_mean": 2876.0, | |
| "valid_targets_min": 1107 | |
| }, | |
| { | |
| "epoch": 1.6026711185308848, | |
| "grad_norm": 0.6149311989350865, | |
| "learning_rate": 3.801937735804838e-05, | |
| "loss": 0.3016, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2641446590423584, | |
| "step": 960, | |
| "valid_targets_mean": 2856.4, | |
| "valid_targets_min": 708 | |
| }, | |
| { | |
| "epoch": 1.6110183639398998, | |
| "grad_norm": 0.8288161564755756, | |
| "learning_rate": 3.79830939225569e-05, | |
| "loss": 0.2758, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2795507609844208, | |
| "step": 965, | |
| "valid_targets_mean": 1612.9, | |
| "valid_targets_min": 601 | |
| }, | |
| { | |
| "epoch": 1.6193656093489148, | |
| "grad_norm": 0.5987400086681629, | |
| "learning_rate": 3.79464987919985e-05, | |
| "loss": 0.281, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3047257661819458, | |
| "step": 970, | |
| "valid_targets_mean": 3288.7, | |
| "valid_targets_min": 614 | |
| }, | |
| { | |
| "epoch": 1.62771285475793, | |
| "grad_norm": 0.6819190508353469, | |
| "learning_rate": 3.790959260066459e-05, | |
| "loss": 0.2919, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2398405820131302, | |
| "step": 975, | |
| "valid_targets_mean": 1824.6, | |
| "valid_targets_min": 737 | |
| }, | |
| { | |
| "epoch": 1.636060100166945, | |
| "grad_norm": 0.6669712111685446, | |
| "learning_rate": 3.7872375988238075e-05, | |
| "loss": 0.2713, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29929858446121216, | |
| "step": 980, | |
| "valid_targets_mean": 2378.9, | |
| "valid_targets_min": 664 | |
| }, | |
| { | |
| "epoch": 1.64440734557596, | |
| "grad_norm": 0.6295279241765963, | |
| "learning_rate": 3.783484959978228e-05, | |
| "loss": 0.2898, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2825482487678528, | |
| "step": 985, | |
| "valid_targets_mean": 2830.6, | |
| "valid_targets_min": 792 | |
| }, | |
| { | |
| "epoch": 1.652754590984975, | |
| "grad_norm": 0.6858266007378149, | |
| "learning_rate": 3.7797014085729786e-05, | |
| "loss": 0.2683, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.264940470457077, | |
| "step": 990, | |
| "valid_targets_mean": 2416.1, | |
| "valid_targets_min": 996 | |
| }, | |
| { | |
| "epoch": 1.66110183639399, | |
| "grad_norm": 0.5756885313672844, | |
| "learning_rate": 3.7758870101871155e-05, | |
| "loss": 0.2636, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23686812818050385, | |
| "step": 995, | |
| "valid_targets_mean": 2789.2, | |
| "valid_targets_min": 923 | |
| }, | |
| { | |
| "epoch": 1.669449081803005, | |
| "grad_norm": 0.65698944081499, | |
| "learning_rate": 3.772041830934352e-05, | |
| "loss": 0.2722, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2956932783126831, | |
| "step": 1000, | |
| "valid_targets_mean": 2863.6, | |
| "valid_targets_min": 862 | |
| }, | |
| { | |
| "epoch": 1.67779632721202, | |
| "grad_norm": 0.7268626989208787, | |
| "learning_rate": 3.7681659374619216e-05, | |
| "loss": 0.2955, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2926235795021057, | |
| "step": 1005, | |
| "valid_targets_mean": 1927.5, | |
| "valid_targets_min": 441 | |
| }, | |
| { | |
| "epoch": 1.686143572621035, | |
| "grad_norm": 0.6301728263095548, | |
| "learning_rate": 3.764259396949412e-05, | |
| "loss": 0.2861, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2802674174308777, | |
| "step": 1010, | |
| "valid_targets_mean": 2421.6, | |
| "valid_targets_min": 467 | |
| }, | |
| { | |
| "epoch": 1.69449081803005, | |
| "grad_norm": 0.6733462938417506, | |
| "learning_rate": 3.7603222771076094e-05, | |
| "loss": 0.292, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.293710321187973, | |
| "step": 1015, | |
| "valid_targets_mean": 2150.6, | |
| "valid_targets_min": 714 | |
| }, | |
| { | |
| "epoch": 1.702838063439065, | |
| "grad_norm": 0.725396943635714, | |
| "learning_rate": 3.75635464617732e-05, | |
| "loss": 0.2744, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25977623462677, | |
| "step": 1020, | |
| "valid_targets_mean": 1919.0, | |
| "valid_targets_min": 677 | |
| }, | |
| { | |
| "epoch": 1.7111853088480802, | |
| "grad_norm": 0.6403010940459046, | |
| "learning_rate": 3.752356572928189e-05, | |
| "loss": 0.2703, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2599361836910248, | |
| "step": 1025, | |
| "valid_targets_mean": 2805.1, | |
| "valid_targets_min": 1039 | |
| }, | |
| { | |
| "epoch": 1.7195325542570952, | |
| "grad_norm": 0.628668831894049, | |
| "learning_rate": 3.748328126657508e-05, | |
| "loss": 0.2806, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24749314785003662, | |
| "step": 1030, | |
| "valid_targets_mean": 2325.9, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 1.7278797996661102, | |
| "grad_norm": 0.6754406114942553, | |
| "learning_rate": 3.7442693771890134e-05, | |
| "loss": 0.2671, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25488877296447754, | |
| "step": 1035, | |
| "valid_targets_mean": 1955.4, | |
| "valid_targets_min": 952 | |
| }, | |
| { | |
| "epoch": 1.7362270450751254, | |
| "grad_norm": 0.7558472173570536, | |
| "learning_rate": 3.740180394871681e-05, | |
| "loss": 0.2722, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2771523594856262, | |
| "step": 1040, | |
| "valid_targets_mean": 1947.2, | |
| "valid_targets_min": 711 | |
| }, | |
| { | |
| "epoch": 1.7445742904841404, | |
| "grad_norm": 0.6832519462615657, | |
| "learning_rate": 3.736061250578498e-05, | |
| "loss": 0.2753, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2828722298145294, | |
| "step": 1045, | |
| "valid_targets_mean": 2244.8, | |
| "valid_targets_min": 699 | |
| }, | |
| { | |
| "epoch": 1.7529215358931554, | |
| "grad_norm": 0.7221198179059067, | |
| "learning_rate": 3.7319120157052405e-05, | |
| "loss": 0.2575, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27627745270729065, | |
| "step": 1050, | |
| "valid_targets_mean": 2222.8, | |
| "valid_targets_min": 899 | |
| }, | |
| { | |
| "epoch": 1.7612687813021703, | |
| "grad_norm": 0.6101729582811587, | |
| "learning_rate": 3.727732762169236e-05, | |
| "loss": 0.2853, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27856922149658203, | |
| "step": 1055, | |
| "valid_targets_mean": 2990.0, | |
| "valid_targets_min": 1196 | |
| }, | |
| { | |
| "epoch": 1.7696160267111853, | |
| "grad_norm": 0.665026309284673, | |
| "learning_rate": 3.7235235624081144e-05, | |
| "loss": 0.2644, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2866712212562561, | |
| "step": 1060, | |
| "valid_targets_mean": 2176.4, | |
| "valid_targets_min": 767 | |
| }, | |
| { | |
| "epoch": 1.7779632721202003, | |
| "grad_norm": 0.7596606174532765, | |
| "learning_rate": 3.719284489378555e-05, | |
| "loss": 0.2737, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2709512710571289, | |
| "step": 1065, | |
| "valid_targets_mean": 1837.7, | |
| "valid_targets_min": 485 | |
| }, | |
| { | |
| "epoch": 1.7863105175292153, | |
| "grad_norm": 0.7240747467629459, | |
| "learning_rate": 3.715015616555019e-05, | |
| "loss": 0.3061, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2847890853881836, | |
| "step": 1070, | |
| "valid_targets_mean": 1882.2, | |
| "valid_targets_min": 758 | |
| }, | |
| { | |
| "epoch": 1.7946577629382303, | |
| "grad_norm": 0.6064730641101225, | |
| "learning_rate": 3.710717017928479e-05, | |
| "loss": 0.2834, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26691943407058716, | |
| "step": 1075, | |
| "valid_targets_mean": 2747.1, | |
| "valid_targets_min": 821 | |
| }, | |
| { | |
| "epoch": 1.8030050083472453, | |
| "grad_norm": 0.611959788625726, | |
| "learning_rate": 3.7063887680051346e-05, | |
| "loss": 0.259, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.264186292886734, | |
| "step": 1080, | |
| "valid_targets_mean": 2445.9, | |
| "valid_targets_min": 674 | |
| }, | |
| { | |
| "epoch": 1.8113522537562603, | |
| "grad_norm": 0.6642812468334148, | |
| "learning_rate": 3.702030941805122e-05, | |
| "loss": 0.2852, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26624006032943726, | |
| "step": 1085, | |
| "valid_targets_mean": 2209.1, | |
| "valid_targets_min": 1011 | |
| }, | |
| { | |
| "epoch": 1.8196994991652755, | |
| "grad_norm": 0.6892899295915823, | |
| "learning_rate": 3.697643614861212e-05, | |
| "loss": 0.2949, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27064579725265503, | |
| "step": 1090, | |
| "valid_targets_mean": 2046.2, | |
| "valid_targets_min": 505 | |
| }, | |
| { | |
| "epoch": 1.8280467445742905, | |
| "grad_norm": 0.6580639650984265, | |
| "learning_rate": 3.6932268632175035e-05, | |
| "loss": 0.2929, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2895362675189972, | |
| "step": 1095, | |
| "valid_targets_mean": 2746.6, | |
| "valid_targets_min": 734 | |
| }, | |
| { | |
| "epoch": 1.8363939899833055, | |
| "grad_norm": 0.6370109105360133, | |
| "learning_rate": 3.6887807634281034e-05, | |
| "loss": 0.2794, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26561087369918823, | |
| "step": 1100, | |
| "valid_targets_mean": 2142.6, | |
| "valid_targets_min": 935 | |
| }, | |
| { | |
| "epoch": 1.8447412353923205, | |
| "grad_norm": 0.616087046014061, | |
| "learning_rate": 3.684305392555802e-05, | |
| "loss": 0.2854, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3370705544948578, | |
| "step": 1105, | |
| "valid_targets_mean": 3029.1, | |
| "valid_targets_min": 705 | |
| }, | |
| { | |
| "epoch": 1.8530884808013357, | |
| "grad_norm": 0.7510555145362542, | |
| "learning_rate": 3.6798008281707326e-05, | |
| "loss": 0.2586, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27831149101257324, | |
| "step": 1110, | |
| "valid_targets_mean": 1654.9, | |
| "valid_targets_min": 778 | |
| }, | |
| { | |
| "epoch": 1.8614357262103507, | |
| "grad_norm": 0.6520045541163695, | |
| "learning_rate": 3.675267148349033e-05, | |
| "loss": 0.2673, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2550077438354492, | |
| "step": 1115, | |
| "valid_targets_mean": 2392.9, | |
| "valid_targets_min": 904 | |
| }, | |
| { | |
| "epoch": 1.8697829716193657, | |
| "grad_norm": 0.6819208928364223, | |
| "learning_rate": 3.670704431671487e-05, | |
| "loss": 0.2736, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26585766673088074, | |
| "step": 1120, | |
| "valid_targets_mean": 2269.6, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 1.8781302170283807, | |
| "grad_norm": 0.7225161412119722, | |
| "learning_rate": 3.6661127572221674e-05, | |
| "loss": 0.27, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25078362226486206, | |
| "step": 1125, | |
| "valid_targets_mean": 2047.7, | |
| "valid_targets_min": 642 | |
| }, | |
| { | |
| "epoch": 1.8864774624373957, | |
| "grad_norm": 0.6988676713993968, | |
| "learning_rate": 3.661492204587059e-05, | |
| "loss": 0.2945, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3282058835029602, | |
| "step": 1130, | |
| "valid_targets_mean": 2359.9, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 1.8948247078464107, | |
| "grad_norm": 0.5512275061807791, | |
| "learning_rate": 3.656842853852686e-05, | |
| "loss": 0.2693, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2610544264316559, | |
| "step": 1135, | |
| "valid_targets_mean": 2950.7, | |
| "valid_targets_min": 958 | |
| }, | |
| { | |
| "epoch": 1.9031719532554257, | |
| "grad_norm": 0.6572067881124516, | |
| "learning_rate": 3.652164785604718e-05, | |
| "loss": 0.273, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2794402241706848, | |
| "step": 1140, | |
| "valid_targets_mean": 2232.9, | |
| "valid_targets_min": 1096 | |
| }, | |
| { | |
| "epoch": 1.9115191986644406, | |
| "grad_norm": 0.5889030363628657, | |
| "learning_rate": 3.647458080926579e-05, | |
| "loss": 0.2662, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23769791424274445, | |
| "step": 1145, | |
| "valid_targets_mean": 2431.9, | |
| "valid_targets_min": 832 | |
| }, | |
| { | |
| "epoch": 1.9198664440734556, | |
| "grad_norm": 0.6763699245418896, | |
| "learning_rate": 3.642722821398036e-05, | |
| "loss": 0.3147, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.36065638065338135, | |
| "step": 1150, | |
| "valid_targets_mean": 2329.1, | |
| "valid_targets_min": 781 | |
| }, | |
| { | |
| "epoch": 1.9282136894824706, | |
| "grad_norm": 0.5895292517322126, | |
| "learning_rate": 3.637959089093788e-05, | |
| "loss": 0.2565, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29195573925971985, | |
| "step": 1155, | |
| "valid_targets_mean": 2797.8, | |
| "valid_targets_min": 1048 | |
| }, | |
| { | |
| "epoch": 1.9365609348914858, | |
| "grad_norm": 0.703920820534324, | |
| "learning_rate": 3.633166966582046e-05, | |
| "loss": 0.2729, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26270467042922974, | |
| "step": 1160, | |
| "valid_targets_mean": 1874.8, | |
| "valid_targets_min": 672 | |
| }, | |
| { | |
| "epoch": 1.9449081803005008, | |
| "grad_norm": 0.7179588425200243, | |
| "learning_rate": 3.6283465369230955e-05, | |
| "loss": 0.2587, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23984012007713318, | |
| "step": 1165, | |
| "valid_targets_mean": 1565.3, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 1.9532554257095158, | |
| "grad_norm": 0.6772780144283352, | |
| "learning_rate": 3.6234978836678635e-05, | |
| "loss": 0.2942, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.34247738122940063, | |
| "step": 1170, | |
| "valid_targets_mean": 2453.4, | |
| "valid_targets_min": 849 | |
| }, | |
| { | |
| "epoch": 1.961602671118531, | |
| "grad_norm": 0.5878645868557504, | |
| "learning_rate": 3.618621090856465e-05, | |
| "loss": 0.2713, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24168238043785095, | |
| "step": 1175, | |
| "valid_targets_mean": 2615.9, | |
| "valid_targets_min": 718 | |
| }, | |
| { | |
| "epoch": 1.969949916527546, | |
| "grad_norm": 0.6263918058676369, | |
| "learning_rate": 3.6137162430167505e-05, | |
| "loss": 0.2715, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24018877744674683, | |
| "step": 1180, | |
| "valid_targets_mean": 2028.0, | |
| "valid_targets_min": 952 | |
| }, | |
| { | |
| "epoch": 1.978297161936561, | |
| "grad_norm": 0.5679649783401323, | |
| "learning_rate": 3.608783425162837e-05, | |
| "loss": 0.2775, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2676815092563629, | |
| "step": 1185, | |
| "valid_targets_mean": 2743.6, | |
| "valid_targets_min": 1061 | |
| }, | |
| { | |
| "epoch": 1.986644407345576, | |
| "grad_norm": 0.5650642695085664, | |
| "learning_rate": 3.603822722793641e-05, | |
| "loss": 0.2683, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24100539088249207, | |
| "step": 1190, | |
| "valid_targets_mean": 2693.2, | |
| "valid_targets_min": 927 | |
| }, | |
| { | |
| "epoch": 1.994991652754591, | |
| "grad_norm": 0.518428283928646, | |
| "learning_rate": 3.598834221891386e-05, | |
| "loss": 0.3039, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2965103089809418, | |
| "step": 1195, | |
| "valid_targets_mean": 3804.1, | |
| "valid_targets_min": 805 | |
| }, | |
| { | |
| "epoch": 2.003338898163606, | |
| "grad_norm": 0.5193791983282685, | |
| "learning_rate": 3.5938180089201236e-05, | |
| "loss": 0.2469, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2514622211456299, | |
| "step": 1200, | |
| "valid_targets_mean": 4081.8, | |
| "valid_targets_min": 1185 | |
| }, | |
| { | |
| "epoch": 2.011686143572621, | |
| "grad_norm": 0.6434338747723224, | |
| "learning_rate": 3.588774170824225e-05, | |
| "loss": 0.2559, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2797144651412964, | |
| "step": 1205, | |
| "valid_targets_mean": 2755.6, | |
| "valid_targets_min": 823 | |
| }, | |
| { | |
| "epoch": 2.020033388981636, | |
| "grad_norm": 0.7067410513026908, | |
| "learning_rate": 3.5837027950268845e-05, | |
| "loss": 0.2352, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2243640124797821, | |
| "step": 1210, | |
| "valid_targets_mean": 2216.0, | |
| "valid_targets_min": 743 | |
| }, | |
| { | |
| "epoch": 2.028380634390651, | |
| "grad_norm": 0.7961342121604984, | |
| "learning_rate": 3.578603969428592e-05, | |
| "loss": 0.2314, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20412582159042358, | |
| "step": 1215, | |
| "valid_targets_mean": 1890.4, | |
| "valid_targets_min": 792 | |
| }, | |
| { | |
| "epoch": 2.036727879799666, | |
| "grad_norm": 0.5530115591594799, | |
| "learning_rate": 3.57347778240562e-05, | |
| "loss": 0.2476, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18387100100517273, | |
| "step": 1220, | |
| "valid_targets_mean": 3251.8, | |
| "valid_targets_min": 1082 | |
| }, | |
| { | |
| "epoch": 2.045075125208681, | |
| "grad_norm": 0.7108831043582498, | |
| "learning_rate": 3.568324322808486e-05, | |
| "loss": 0.2559, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30348148941993713, | |
| "step": 1225, | |
| "valid_targets_mean": 2527.5, | |
| "valid_targets_min": 558 | |
| }, | |
| { | |
| "epoch": 2.053422370617696, | |
| "grad_norm": 0.5550708064223786, | |
| "learning_rate": 3.563143679960415e-05, | |
| "loss": 0.2435, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20590972900390625, | |
| "step": 1230, | |
| "valid_targets_mean": 2877.4, | |
| "valid_targets_min": 686 | |
| }, | |
| { | |
| "epoch": 2.0617696160267114, | |
| "grad_norm": 0.7444742798415956, | |
| "learning_rate": 3.557935943655789e-05, | |
| "loss": 0.2225, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22533491253852844, | |
| "step": 1235, | |
| "valid_targets_mean": 2022.6, | |
| "valid_targets_min": 720 | |
| }, | |
| { | |
| "epoch": 2.0701168614357264, | |
| "grad_norm": 0.6427542875704622, | |
| "learning_rate": 3.5527012041585936e-05, | |
| "loss": 0.2537, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2653607130050659, | |
| "step": 1240, | |
| "valid_targets_mean": 2934.6, | |
| "valid_targets_min": 600 | |
| }, | |
| { | |
| "epoch": 2.0784641068447414, | |
| "grad_norm": 0.6736377563917679, | |
| "learning_rate": 3.5474395522008496e-05, | |
| "loss": 0.2527, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23162764310836792, | |
| "step": 1245, | |
| "valid_targets_mean": 2378.2, | |
| "valid_targets_min": 501 | |
| }, | |
| { | |
| "epoch": 2.0868113522537564, | |
| "grad_norm": 0.7280982685895938, | |
| "learning_rate": 3.542151078981046e-05, | |
| "loss": 0.232, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2432788610458374, | |
| "step": 1250, | |
| "valid_targets_mean": 2093.1, | |
| "valid_targets_min": 680 | |
| }, | |
| { | |
| "epoch": 2.0951585976627713, | |
| "grad_norm": 0.699538815265175, | |
| "learning_rate": 3.5368358761625514e-05, | |
| "loss": 0.2492, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2450699359178543, | |
| "step": 1255, | |
| "valid_targets_mean": 2237.4, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 2.1035058430717863, | |
| "grad_norm": 0.6844956114186254, | |
| "learning_rate": 3.5314940358720356e-05, | |
| "loss": 0.2438, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23026099801063538, | |
| "step": 1260, | |
| "valid_targets_mean": 2317.9, | |
| "valid_targets_min": 791 | |
| }, | |
| { | |
| "epoch": 2.1118530884808013, | |
| "grad_norm": 0.698706207791456, | |
| "learning_rate": 3.5261256506978615e-05, | |
| "loss": 0.2494, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21001145243644714, | |
| "step": 1265, | |
| "valid_targets_mean": 1831.2, | |
| "valid_targets_min": 1037 | |
| }, | |
| { | |
| "epoch": 2.1202003338898163, | |
| "grad_norm": 0.7647700825838409, | |
| "learning_rate": 3.5207308136884894e-05, | |
| "loss": 0.2297, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2431824952363968, | |
| "step": 1270, | |
| "valid_targets_mean": 1795.0, | |
| "valid_targets_min": 1011 | |
| }, | |
| { | |
| "epoch": 2.1285475792988313, | |
| "grad_norm": 0.6923485232735404, | |
| "learning_rate": 3.515309618350858e-05, | |
| "loss": 0.2542, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2632903456687927, | |
| "step": 1275, | |
| "valid_targets_mean": 2339.3, | |
| "valid_targets_min": 820 | |
| }, | |
| { | |
| "epoch": 2.1368948247078463, | |
| "grad_norm": 0.7781081485640542, | |
| "learning_rate": 3.509862158648768e-05, | |
| "loss": 0.251, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2773990035057068, | |
| "step": 1280, | |
| "valid_targets_mean": 2198.3, | |
| "valid_targets_min": 698 | |
| }, | |
| { | |
| "epoch": 2.1452420701168613, | |
| "grad_norm": 0.6666148765838359, | |
| "learning_rate": 3.504388529001252e-05, | |
| "loss": 0.2477, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2561338245868683, | |
| "step": 1285, | |
| "valid_targets_mean": 2589.9, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 2.1535893155258763, | |
| "grad_norm": 0.8184631100833456, | |
| "learning_rate": 3.498888824280935e-05, | |
| "loss": 0.2291, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23771652579307556, | |
| "step": 1290, | |
| "valid_targets_mean": 1722.0, | |
| "valid_targets_min": 1062 | |
| }, | |
| { | |
| "epoch": 2.1619365609348913, | |
| "grad_norm": 0.6991813737801864, | |
| "learning_rate": 3.4933631398123956e-05, | |
| "loss": 0.2432, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20241795480251312, | |
| "step": 1295, | |
| "valid_targets_mean": 2340.5, | |
| "valid_targets_min": 833 | |
| }, | |
| { | |
| "epoch": 2.1702838063439067, | |
| "grad_norm": 0.6130340899300305, | |
| "learning_rate": 3.487811571370509e-05, | |
| "loss": 0.2365, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21447286009788513, | |
| "step": 1300, | |
| "valid_targets_mean": 2251.4, | |
| "valid_targets_min": 844 | |
| }, | |
| { | |
| "epoch": 2.1786310517529217, | |
| "grad_norm": 0.7120891173802951, | |
| "learning_rate": 3.482234215178791e-05, | |
| "loss": 0.2313, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23181754350662231, | |
| "step": 1305, | |
| "valid_targets_mean": 2261.1, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 2.1869782971619367, | |
| "grad_norm": 0.7832344759000813, | |
| "learning_rate": 3.476631167907727e-05, | |
| "loss": 0.2199, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23713654279708862, | |
| "step": 1310, | |
| "valid_targets_mean": 2056.3, | |
| "valid_targets_min": 707 | |
| }, | |
| { | |
| "epoch": 2.1953255425709517, | |
| "grad_norm": 0.7148340814235117, | |
| "learning_rate": 3.471002526673094e-05, | |
| "loss": 0.264, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27816304564476013, | |
| "step": 1315, | |
| "valid_targets_mean": 2307.6, | |
| "valid_targets_min": 590 | |
| }, | |
| { | |
| "epoch": 2.2036727879799667, | |
| "grad_norm": 0.7100191065638822, | |
| "learning_rate": 3.465348389034287e-05, | |
| "loss": 0.2474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21069149672985077, | |
| "step": 1320, | |
| "valid_targets_mean": 2232.3, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 2.2120200333889817, | |
| "grad_norm": 0.6251149655519441, | |
| "learning_rate": 3.459668852992617e-05, | |
| "loss": 0.2378, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2373727262020111, | |
| "step": 1325, | |
| "valid_targets_mean": 2580.5, | |
| "valid_targets_min": 1052 | |
| }, | |
| { | |
| "epoch": 2.2203672787979967, | |
| "grad_norm": 0.601330204070378, | |
| "learning_rate": 3.453964016989619e-05, | |
| "loss": 0.2362, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22181645035743713, | |
| "step": 1330, | |
| "valid_targets_mean": 3134.7, | |
| "valid_targets_min": 1241 | |
| }, | |
| { | |
| "epoch": 2.2287145242070117, | |
| "grad_norm": 0.8149276967292868, | |
| "learning_rate": 3.4482339799053444e-05, | |
| "loss": 0.2425, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25903093814849854, | |
| "step": 1335, | |
| "valid_targets_mean": 1608.3, | |
| "valid_targets_min": 711 | |
| }, | |
| { | |
| "epoch": 2.2370617696160267, | |
| "grad_norm": 0.6327447131495245, | |
| "learning_rate": 3.4424788410566455e-05, | |
| "loss": 0.2316, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19700053334236145, | |
| "step": 1340, | |
| "valid_targets_mean": 2296.6, | |
| "valid_targets_min": 795 | |
| }, | |
| { | |
| "epoch": 2.2454090150250416, | |
| "grad_norm": 0.8044246595795511, | |
| "learning_rate": 3.4366987001954555e-05, | |
| "loss": 0.238, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26876890659332275, | |
| "step": 1345, | |
| "valid_targets_mean": 1931.4, | |
| "valid_targets_min": 1001 | |
| }, | |
| { | |
| "epoch": 2.2537562604340566, | |
| "grad_norm": 0.5309771416293331, | |
| "learning_rate": 3.43089365750706e-05, | |
| "loss": 0.232, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2141474038362503, | |
| "step": 1350, | |
| "valid_targets_mean": 3728.3, | |
| "valid_targets_min": 1014 | |
| }, | |
| { | |
| "epoch": 2.2621035058430716, | |
| "grad_norm": 0.6644682533895913, | |
| "learning_rate": 3.425063813608359e-05, | |
| "loss": 0.2424, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2774876356124878, | |
| "step": 1355, | |
| "valid_targets_mean": 2802.4, | |
| "valid_targets_min": 945 | |
| }, | |
| { | |
| "epoch": 2.2704507512520866, | |
| "grad_norm": 0.7455026587962019, | |
| "learning_rate": 3.419209269546125e-05, | |
| "loss": 0.2455, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25237128138542175, | |
| "step": 1360, | |
| "valid_targets_mean": 1823.6, | |
| "valid_targets_min": 504 | |
| }, | |
| { | |
| "epoch": 2.278797996661102, | |
| "grad_norm": 0.7277599604934011, | |
| "learning_rate": 3.4133301267952486e-05, | |
| "loss": 0.2318, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2372550368309021, | |
| "step": 1365, | |
| "valid_targets_mean": 2188.1, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 2.287145242070117, | |
| "grad_norm": 0.7380556789571296, | |
| "learning_rate": 3.407426487256982e-05, | |
| "loss": 0.2605, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30883273482322693, | |
| "step": 1370, | |
| "valid_targets_mean": 2064.0, | |
| "valid_targets_min": 937 | |
| }, | |
| { | |
| "epoch": 2.295492487479132, | |
| "grad_norm": 0.7749276146562591, | |
| "learning_rate": 3.401498453257172e-05, | |
| "loss": 0.2515, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24143822491168976, | |
| "step": 1375, | |
| "valid_targets_mean": 1756.7, | |
| "valid_targets_min": 856 | |
| }, | |
| { | |
| "epoch": 2.303839732888147, | |
| "grad_norm": 0.7251504209484195, | |
| "learning_rate": 3.395546127544489e-05, | |
| "loss": 0.2379, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2530919909477234, | |
| "step": 1380, | |
| "valid_targets_mean": 2199.6, | |
| "valid_targets_min": 449 | |
| }, | |
| { | |
| "epoch": 2.312186978297162, | |
| "grad_norm": 0.6703831664282974, | |
| "learning_rate": 3.389569613288641e-05, | |
| "loss": 0.2546, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26869308948516846, | |
| "step": 1385, | |
| "valid_targets_mean": 2364.1, | |
| "valid_targets_min": 856 | |
| }, | |
| { | |
| "epoch": 2.320534223706177, | |
| "grad_norm": 0.6395714990020217, | |
| "learning_rate": 3.383569014078587e-05, | |
| "loss": 0.2448, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24285399913787842, | |
| "step": 1390, | |
| "valid_targets_mean": 2583.5, | |
| "valid_targets_min": 727 | |
| }, | |
| { | |
| "epoch": 2.328881469115192, | |
| "grad_norm": 0.6776744324721674, | |
| "learning_rate": 3.3775444339207465e-05, | |
| "loss": 0.2311, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21158820390701294, | |
| "step": 1395, | |
| "valid_targets_mean": 2127.4, | |
| "valid_targets_min": 601 | |
| }, | |
| { | |
| "epoch": 2.337228714524207, | |
| "grad_norm": 0.6770674417267395, | |
| "learning_rate": 3.3714959772371885e-05, | |
| "loss": 0.2211, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.238697350025177, | |
| "step": 1400, | |
| "valid_targets_mean": 2220.6, | |
| "valid_targets_min": 1108 | |
| }, | |
| { | |
| "epoch": 2.345575959933222, | |
| "grad_norm": 0.6626681483726701, | |
| "learning_rate": 3.3654237488638306e-05, | |
| "loss": 0.2338, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22057095170021057, | |
| "step": 1405, | |
| "valid_targets_mean": 2314.4, | |
| "valid_targets_min": 646 | |
| }, | |
| { | |
| "epoch": 2.353923205342237, | |
| "grad_norm": 0.6782631619393108, | |
| "learning_rate": 3.3593278540486135e-05, | |
| "loss": 0.2258, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23829273879528046, | |
| "step": 1410, | |
| "valid_targets_mean": 2254.5, | |
| "valid_targets_min": 783 | |
| }, | |
| { | |
| "epoch": 2.362270450751252, | |
| "grad_norm": 0.6144730572905673, | |
| "learning_rate": 3.353208398449683e-05, | |
| "loss": 0.2497, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21382129192352295, | |
| "step": 1415, | |
| "valid_targets_mean": 2535.1, | |
| "valid_targets_min": 914 | |
| }, | |
| { | |
| "epoch": 2.370617696160267, | |
| "grad_norm": 0.6661453498748384, | |
| "learning_rate": 3.347065488133555e-05, | |
| "loss": 0.2489, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22840982675552368, | |
| "step": 1420, | |
| "valid_targets_mean": 2266.5, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 2.378964941569282, | |
| "grad_norm": 0.6632607942160634, | |
| "learning_rate": 3.340899229573278e-05, | |
| "loss": 0.236, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22487732768058777, | |
| "step": 1425, | |
| "valid_targets_mean": 2084.4, | |
| "valid_targets_min": 601 | |
| }, | |
| { | |
| "epoch": 2.3873121869782974, | |
| "grad_norm": 0.6386430366838826, | |
| "learning_rate": 3.334709729646589e-05, | |
| "loss": 0.2504, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24176400899887085, | |
| "step": 1430, | |
| "valid_targets_mean": 2506.2, | |
| "valid_targets_min": 705 | |
| }, | |
| { | |
| "epoch": 2.395659432387312, | |
| "grad_norm": 0.5524129897132546, | |
| "learning_rate": 3.32849709563406e-05, | |
| "loss": 0.2388, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21630480885505676, | |
| "step": 1435, | |
| "valid_targets_mean": 3571.8, | |
| "valid_targets_min": 800 | |
| }, | |
| { | |
| "epoch": 2.4040066777963274, | |
| "grad_norm": 0.7020503166023468, | |
| "learning_rate": 3.322261435217237e-05, | |
| "loss": 0.2663, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26422515511512756, | |
| "step": 1440, | |
| "valid_targets_mean": 2308.3, | |
| "valid_targets_min": 618 | |
| }, | |
| { | |
| "epoch": 2.4123539232053424, | |
| "grad_norm": 0.789272389237031, | |
| "learning_rate": 3.316002856476776e-05, | |
| "loss": 0.2436, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25431516766548157, | |
| "step": 1445, | |
| "valid_targets_mean": 2112.1, | |
| "valid_targets_min": 886 | |
| }, | |
| { | |
| "epoch": 2.4207011686143574, | |
| "grad_norm": 0.616671473715282, | |
| "learning_rate": 3.309721467890571e-05, | |
| "loss": 0.2428, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23085810244083405, | |
| "step": 1450, | |
| "valid_targets_mean": 2605.9, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 2.4290484140233723, | |
| "grad_norm": 0.7930475868728878, | |
| "learning_rate": 3.303417378331867e-05, | |
| "loss": 0.2411, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23393920063972473, | |
| "step": 1455, | |
| "valid_targets_mean": 1837.5, | |
| "valid_targets_min": 904 | |
| }, | |
| { | |
| "epoch": 2.4373956594323873, | |
| "grad_norm": 0.7032008867370768, | |
| "learning_rate": 3.2970906970673814e-05, | |
| "loss": 0.2357, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20973175764083862, | |
| "step": 1460, | |
| "valid_targets_mean": 2218.8, | |
| "valid_targets_min": 758 | |
| }, | |
| { | |
| "epoch": 2.4457429048414023, | |
| "grad_norm": 0.7969084821853115, | |
| "learning_rate": 3.2907415337554045e-05, | |
| "loss": 0.2418, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22123488783836365, | |
| "step": 1465, | |
| "valid_targets_mean": 1655.2, | |
| "valid_targets_min": 835 | |
| }, | |
| { | |
| "epoch": 2.4540901502504173, | |
| "grad_norm": 0.6317113154583319, | |
| "learning_rate": 3.284369998443901e-05, | |
| "loss": 0.2505, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20731478929519653, | |
| "step": 1470, | |
| "valid_targets_mean": 2597.5, | |
| "valid_targets_min": 903 | |
| }, | |
| { | |
| "epoch": 2.4624373956594323, | |
| "grad_norm": 0.7512566102291349, | |
| "learning_rate": 3.277976201568603e-05, | |
| "loss": 0.2295, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24652166664600372, | |
| "step": 1475, | |
| "valid_targets_mean": 2205.5, | |
| "valid_targets_min": 670 | |
| }, | |
| { | |
| "epoch": 2.4707846410684473, | |
| "grad_norm": 0.713993361555449, | |
| "learning_rate": 3.2715602539510915e-05, | |
| "loss": 0.2542, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21940815448760986, | |
| "step": 1480, | |
| "valid_targets_mean": 1958.4, | |
| "valid_targets_min": 813 | |
| }, | |
| { | |
| "epoch": 2.4791318864774623, | |
| "grad_norm": 0.6825440027750466, | |
| "learning_rate": 3.265122266796884e-05, | |
| "loss": 0.2647, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2662467360496521, | |
| "step": 1485, | |
| "valid_targets_mean": 2280.6, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 2.4874791318864773, | |
| "grad_norm": 0.6371860820483898, | |
| "learning_rate": 3.258662351693498e-05, | |
| "loss": 0.2315, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25087234377861023, | |
| "step": 1490, | |
| "valid_targets_mean": 2939.2, | |
| "valid_targets_min": 941 | |
| }, | |
| { | |
| "epoch": 2.4958263772954927, | |
| "grad_norm": 0.662118894737436, | |
| "learning_rate": 3.252180620608524e-05, | |
| "loss": 0.2424, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24761708080768585, | |
| "step": 1495, | |
| "valid_targets_mean": 2687.6, | |
| "valid_targets_min": 1060 | |
| }, | |
| { | |
| "epoch": 2.5041736227045073, | |
| "grad_norm": 0.6596293311660842, | |
| "learning_rate": 3.245677185887678e-05, | |
| "loss": 0.2345, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22490762174129486, | |
| "step": 1500, | |
| "valid_targets_mean": 2352.7, | |
| "valid_targets_min": 901 | |
| }, | |
| { | |
| "epoch": 2.5125208681135227, | |
| "grad_norm": 0.6926751619712956, | |
| "learning_rate": 3.2391521602528634e-05, | |
| "loss": 0.2513, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2553149461746216, | |
| "step": 1505, | |
| "valid_targets_mean": 2310.8, | |
| "valid_targets_min": 909 | |
| }, | |
| { | |
| "epoch": 2.5208681135225377, | |
| "grad_norm": 0.6979481450499412, | |
| "learning_rate": 3.232605656800207e-05, | |
| "loss": 0.2239, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24520985782146454, | |
| "step": 1510, | |
| "valid_targets_mean": 2667.4, | |
| "valid_targets_min": 737 | |
| }, | |
| { | |
| "epoch": 2.5292153589315527, | |
| "grad_norm": 0.6555629495703937, | |
| "learning_rate": 3.226037788998105e-05, | |
| "loss": 0.2466, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29187384247779846, | |
| "step": 1515, | |
| "valid_targets_mean": 2969.0, | |
| "valid_targets_min": 923 | |
| }, | |
| { | |
| "epoch": 2.5375626043405677, | |
| "grad_norm": 0.7666678856521503, | |
| "learning_rate": 3.219448670685256e-05, | |
| "loss": 0.2511, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29762178659439087, | |
| "step": 1520, | |
| "valid_targets_mean": 2130.6, | |
| "valid_targets_min": 769 | |
| }, | |
| { | |
| "epoch": 2.5459098497495827, | |
| "grad_norm": 0.635001587521722, | |
| "learning_rate": 3.212838416068685e-05, | |
| "loss": 0.2504, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24263107776641846, | |
| "step": 1525, | |
| "valid_targets_mean": 2891.2, | |
| "valid_targets_min": 934 | |
| }, | |
| { | |
| "epoch": 2.5542570951585977, | |
| "grad_norm": 0.7287011835787055, | |
| "learning_rate": 3.206207139721768e-05, | |
| "loss": 0.2368, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23700858652591705, | |
| "step": 1530, | |
| "valid_targets_mean": 1981.3, | |
| "valid_targets_min": 898 | |
| }, | |
| { | |
| "epoch": 2.5626043405676127, | |
| "grad_norm": 0.6870197123559626, | |
| "learning_rate": 3.199554956582241e-05, | |
| "loss": 0.2429, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22994369268417358, | |
| "step": 1535, | |
| "valid_targets_mean": 2409.1, | |
| "valid_targets_min": 691 | |
| }, | |
| { | |
| "epoch": 2.5709515859766277, | |
| "grad_norm": 0.6949292075207361, | |
| "learning_rate": 3.192881981950212e-05, | |
| "loss": 0.2293, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23517221212387085, | |
| "step": 1540, | |
| "valid_targets_mean": 2347.6, | |
| "valid_targets_min": 625 | |
| }, | |
| { | |
| "epoch": 2.5792988313856426, | |
| "grad_norm": 0.6890952912783886, | |
| "learning_rate": 3.1861883314861616e-05, | |
| "loss": 0.2451, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25980061292648315, | |
| "step": 1545, | |
| "valid_targets_mean": 2271.5, | |
| "valid_targets_min": 896 | |
| }, | |
| { | |
| "epoch": 2.5876460767946576, | |
| "grad_norm": 0.7160702464639767, | |
| "learning_rate": 3.179474121208937e-05, | |
| "loss": 0.2384, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20312431454658508, | |
| "step": 1550, | |
| "valid_targets_mean": 1892.7, | |
| "valid_targets_min": 547 | |
| }, | |
| { | |
| "epoch": 2.5959933222036726, | |
| "grad_norm": 0.7276950171510028, | |
| "learning_rate": 3.172739467493741e-05, | |
| "loss": 0.239, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2361968606710434, | |
| "step": 1555, | |
| "valid_targets_mean": 2012.6, | |
| "valid_targets_min": 894 | |
| }, | |
| { | |
| "epoch": 2.604340567612688, | |
| "grad_norm": 0.6647020815612599, | |
| "learning_rate": 3.165984487070118e-05, | |
| "loss": 0.2362, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24586845934391022, | |
| "step": 1560, | |
| "valid_targets_mean": 2487.6, | |
| "valid_targets_min": 1049 | |
| }, | |
| { | |
| "epoch": 2.6126878130217026, | |
| "grad_norm": 0.7195149038288103, | |
| "learning_rate": 3.1592092970199266e-05, | |
| "loss": 0.2258, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2257130742073059, | |
| "step": 1565, | |
| "valid_targets_mean": 1995.1, | |
| "valid_targets_min": 1064 | |
| }, | |
| { | |
| "epoch": 2.621035058430718, | |
| "grad_norm": 0.6839599973695903, | |
| "learning_rate": 3.152414014775315e-05, | |
| "loss": 0.262, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29660463333129883, | |
| "step": 1570, | |
| "valid_targets_mean": 2584.0, | |
| "valid_targets_min": 962 | |
| }, | |
| { | |
| "epoch": 2.629382303839733, | |
| "grad_norm": 0.725502712005601, | |
| "learning_rate": 3.1455987581166784e-05, | |
| "loss": 0.2464, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2801527678966522, | |
| "step": 1575, | |
| "valid_targets_mean": 2065.1, | |
| "valid_targets_min": 605 | |
| }, | |
| { | |
| "epoch": 2.637729549248748, | |
| "grad_norm": 0.7053226716868043, | |
| "learning_rate": 3.138763645170626e-05, | |
| "loss": 0.2301, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2274249792098999, | |
| "step": 1580, | |
| "valid_targets_mean": 1978.2, | |
| "valid_targets_min": 400 | |
| }, | |
| { | |
| "epoch": 2.646076794657763, | |
| "grad_norm": 0.7790077967494133, | |
| "learning_rate": 3.1319087944079275e-05, | |
| "loss": 0.2553, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20891839265823364, | |
| "step": 1585, | |
| "valid_targets_mean": 1581.3, | |
| "valid_targets_min": 614 | |
| }, | |
| { | |
| "epoch": 2.654424040066778, | |
| "grad_norm": 0.8009563456908694, | |
| "learning_rate": 3.125034324641462e-05, | |
| "loss": 0.2492, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.29142534732818604, | |
| "step": 1590, | |
| "valid_targets_mean": 2003.0, | |
| "valid_targets_min": 505 | |
| }, | |
| { | |
| "epoch": 2.662771285475793, | |
| "grad_norm": 0.7585464640547334, | |
| "learning_rate": 3.118140355024159e-05, | |
| "loss": 0.2539, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23483462631702423, | |
| "step": 1595, | |
| "valid_targets_mean": 2244.9, | |
| "valid_targets_min": 769 | |
| }, | |
| { | |
| "epoch": 2.671118530884808, | |
| "grad_norm": 0.6757093378546383, | |
| "learning_rate": 3.111227005046932e-05, | |
| "loss": 0.2472, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25684505701065063, | |
| "step": 1600, | |
| "valid_targets_mean": 2694.5, | |
| "valid_targets_min": 1039 | |
| }, | |
| { | |
| "epoch": 2.679465776293823, | |
| "grad_norm": 0.7703481949229823, | |
| "learning_rate": 3.104294394536608e-05, | |
| "loss": 0.2384, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3010757565498352, | |
| "step": 1605, | |
| "valid_targets_mean": 2485.1, | |
| "valid_targets_min": 1027 | |
| }, | |
| { | |
| "epoch": 2.687813021702838, | |
| "grad_norm": 0.6400764593805821, | |
| "learning_rate": 3.097342643653849e-05, | |
| "loss": 0.2448, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.228501558303833, | |
| "step": 1610, | |
| "valid_targets_mean": 2393.6, | |
| "valid_targets_min": 1024 | |
| }, | |
| { | |
| "epoch": 2.696160267111853, | |
| "grad_norm": 0.736490810291691, | |
| "learning_rate": 3.090371872891074e-05, | |
| "loss": 0.2269, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21466585993766785, | |
| "step": 1615, | |
| "valid_targets_mean": 1701.9, | |
| "valid_targets_min": 958 | |
| }, | |
| { | |
| "epoch": 2.704507512520868, | |
| "grad_norm": 0.7705037351717331, | |
| "learning_rate": 3.083382203070365e-05, | |
| "loss": 0.2471, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2398218810558319, | |
| "step": 1620, | |
| "valid_targets_mean": 1538.4, | |
| "valid_targets_min": 356 | |
| }, | |
| { | |
| "epoch": 2.7128547579298834, | |
| "grad_norm": 0.6380889104450443, | |
| "learning_rate": 3.0763737553413766e-05, | |
| "loss": 0.2305, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19768619537353516, | |
| "step": 1625, | |
| "valid_targets_mean": 2420.4, | |
| "valid_targets_min": 874 | |
| }, | |
| { | |
| "epoch": 2.721202003338898, | |
| "grad_norm": 0.7557652741904972, | |
| "learning_rate": 3.069346651179233e-05, | |
| "loss": 0.2227, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21941837668418884, | |
| "step": 1630, | |
| "valid_targets_mean": 1873.2, | |
| "valid_targets_min": 533 | |
| }, | |
| { | |
| "epoch": 2.7295492487479134, | |
| "grad_norm": 0.9109177697394876, | |
| "learning_rate": 3.0623010123824245e-05, | |
| "loss": 0.2654, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.30781060457229614, | |
| "step": 1635, | |
| "valid_targets_mean": 1401.6, | |
| "valid_targets_min": 822 | |
| }, | |
| { | |
| "epoch": 2.7378964941569284, | |
| "grad_norm": 0.7515741045238992, | |
| "learning_rate": 3.0552369610706985e-05, | |
| "loss": 0.2359, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2299075722694397, | |
| "step": 1640, | |
| "valid_targets_mean": 1766.3, | |
| "valid_targets_min": 739 | |
| }, | |
| { | |
| "epoch": 2.7462437395659434, | |
| "grad_norm": 0.7242134429840179, | |
| "learning_rate": 3.0481546196829375e-05, | |
| "loss": 0.2327, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25316867232322693, | |
| "step": 1645, | |
| "valid_targets_mean": 2118.2, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 2.7545909849749584, | |
| "grad_norm": 0.8594982851019005, | |
| "learning_rate": 3.041054110975041e-05, | |
| "loss": 0.242, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.250777006149292, | |
| "step": 1650, | |
| "valid_targets_mean": 1474.4, | |
| "valid_targets_min": 513 | |
| }, | |
| { | |
| "epoch": 2.7629382303839733, | |
| "grad_norm": 0.6928528426680121, | |
| "learning_rate": 3.033935558017797e-05, | |
| "loss": 0.2685, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22606828808784485, | |
| "step": 1655, | |
| "valid_targets_mean": 2188.0, | |
| "valid_targets_min": 689 | |
| }, | |
| { | |
| "epoch": 2.7712854757929883, | |
| "grad_norm": 1.359593188853504, | |
| "learning_rate": 3.0267990841947492e-05, | |
| "loss": 0.2542, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2838791012763977, | |
| "step": 1660, | |
| "valid_targets_mean": 2975.5, | |
| "valid_targets_min": 901 | |
| }, | |
| { | |
| "epoch": 2.7796327212020033, | |
| "grad_norm": 0.6079701413980375, | |
| "learning_rate": 3.0196448132000563e-05, | |
| "loss": 0.2462, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.25636208057403564, | |
| "step": 1665, | |
| "valid_targets_mean": 2884.0, | |
| "valid_targets_min": 502 | |
| }, | |
| { | |
| "epoch": 2.7879799666110183, | |
| "grad_norm": 0.7270380376772345, | |
| "learning_rate": 3.0124728690363504e-05, | |
| "loss": 0.251, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27121657133102417, | |
| "step": 1670, | |
| "valid_targets_mean": 2245.4, | |
| "valid_targets_min": 800 | |
| }, | |
| { | |
| "epoch": 2.7963272120200333, | |
| "grad_norm": 0.7845898208867876, | |
| "learning_rate": 3.0052833760125864e-05, | |
| "loss": 0.2562, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2516961097717285, | |
| "step": 1675, | |
| "valid_targets_mean": 2116.7, | |
| "valid_targets_min": 408 | |
| }, | |
| { | |
| "epoch": 2.8046744574290483, | |
| "grad_norm": 0.7018532983083052, | |
| "learning_rate": 2.9980764587418885e-05, | |
| "loss": 0.2452, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23445004224777222, | |
| "step": 1680, | |
| "valid_targets_mean": 1939.8, | |
| "valid_targets_min": 661 | |
| }, | |
| { | |
| "epoch": 2.8130217028380633, | |
| "grad_norm": 0.5921837745995009, | |
| "learning_rate": 2.990852242139389e-05, | |
| "loss": 0.2319, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21622955799102783, | |
| "step": 1685, | |
| "valid_targets_mean": 2747.9, | |
| "valid_targets_min": 776 | |
| }, | |
| { | |
| "epoch": 2.8213689482470787, | |
| "grad_norm": 0.5824720536926297, | |
| "learning_rate": 2.983610851420064e-05, | |
| "loss": 0.2472, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20980806648731232, | |
| "step": 1690, | |
| "valid_targets_mean": 2791.8, | |
| "valid_targets_min": 587 | |
| }, | |
| { | |
| "epoch": 2.8297161936560933, | |
| "grad_norm": 0.5021027254030971, | |
| "learning_rate": 2.976352412096563e-05, | |
| "loss": 0.2444, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2591347396373749, | |
| "step": 1695, | |
| "valid_targets_mean": 3924.0, | |
| "valid_targets_min": 1196 | |
| }, | |
| { | |
| "epoch": 2.8380634390651087, | |
| "grad_norm": 0.6615812499102618, | |
| "learning_rate": 2.969077049977034e-05, | |
| "loss": 0.2711, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22708380222320557, | |
| "step": 1700, | |
| "valid_targets_mean": 2462.8, | |
| "valid_targets_min": 577 | |
| }, | |
| { | |
| "epoch": 2.8464106844741233, | |
| "grad_norm": 0.6723998430800802, | |
| "learning_rate": 2.9617848911629402e-05, | |
| "loss": 0.2602, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.228207066655159, | |
| "step": 1705, | |
| "valid_targets_mean": 2054.6, | |
| "valid_targets_min": 702 | |
| }, | |
| { | |
| "epoch": 2.8547579298831387, | |
| "grad_norm": 0.6644600523627668, | |
| "learning_rate": 2.9544760620468794e-05, | |
| "loss": 0.2281, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21405984461307526, | |
| "step": 1710, | |
| "valid_targets_mean": 2316.2, | |
| "valid_targets_min": 898 | |
| }, | |
| { | |
| "epoch": 2.8631051752921537, | |
| "grad_norm": 0.8463918203843788, | |
| "learning_rate": 2.9471506893103883e-05, | |
| "loss": 0.2361, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24980512261390686, | |
| "step": 1715, | |
| "valid_targets_mean": 2414.9, | |
| "valid_targets_min": 738 | |
| }, | |
| { | |
| "epoch": 2.8714524207011687, | |
| "grad_norm": 0.5857132344827396, | |
| "learning_rate": 2.939808899921749e-05, | |
| "loss": 0.246, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23113596439361572, | |
| "step": 1720, | |
| "valid_targets_mean": 3229.4, | |
| "valid_targets_min": 1171 | |
| }, | |
| { | |
| "epoch": 2.8797996661101837, | |
| "grad_norm": 0.6344993050865212, | |
| "learning_rate": 2.932450821133788e-05, | |
| "loss": 0.2483, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23790693283081055, | |
| "step": 1725, | |
| "valid_targets_mean": 2504.1, | |
| "valid_targets_min": 874 | |
| }, | |
| { | |
| "epoch": 2.8881469115191987, | |
| "grad_norm": 0.6612398379376797, | |
| "learning_rate": 2.9250765804816712e-05, | |
| "loss": 0.2307, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24237364530563354, | |
| "step": 1730, | |
| "valid_targets_mean": 2588.6, | |
| "valid_targets_min": 910 | |
| }, | |
| { | |
| "epoch": 2.8964941569282137, | |
| "grad_norm": 0.6361183421149988, | |
| "learning_rate": 2.917686305780692e-05, | |
| "loss": 0.235, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23230323195457458, | |
| "step": 1735, | |
| "valid_targets_mean": 2619.9, | |
| "valid_targets_min": 500 | |
| }, | |
| { | |
| "epoch": 2.9048414023372287, | |
| "grad_norm": 0.6623545853466452, | |
| "learning_rate": 2.9102801251240575e-05, | |
| "loss": 0.2323, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26689085364341736, | |
| "step": 1740, | |
| "valid_targets_mean": 2494.6, | |
| "valid_targets_min": 821 | |
| }, | |
| { | |
| "epoch": 2.9131886477462436, | |
| "grad_norm": 0.6961705682075915, | |
| "learning_rate": 2.902858166880667e-05, | |
| "loss": 0.247, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24191753566265106, | |
| "step": 1745, | |
| "valid_targets_mean": 1999.0, | |
| "valid_targets_min": 906 | |
| }, | |
| { | |
| "epoch": 2.9215358931552586, | |
| "grad_norm": 0.7882520360796017, | |
| "learning_rate": 2.8954205596928873e-05, | |
| "loss": 0.2516, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28292351961135864, | |
| "step": 1750, | |
| "valid_targets_mean": 2114.1, | |
| "valid_targets_min": 906 | |
| }, | |
| { | |
| "epoch": 2.9298831385642736, | |
| "grad_norm": 0.720653639028986, | |
| "learning_rate": 2.8879674324743246e-05, | |
| "loss": 0.2363, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21395087242126465, | |
| "step": 1755, | |
| "valid_targets_mean": 2028.4, | |
| "valid_targets_min": 954 | |
| }, | |
| { | |
| "epoch": 2.9382303839732886, | |
| "grad_norm": 0.66332681260518, | |
| "learning_rate": 2.880498914407587e-05, | |
| "loss": 0.2495, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2460024505853653, | |
| "step": 1760, | |
| "valid_targets_mean": 2476.1, | |
| "valid_targets_min": 569 | |
| }, | |
| { | |
| "epoch": 2.946577629382304, | |
| "grad_norm": 0.7231515624521551, | |
| "learning_rate": 2.8730151349420475e-05, | |
| "loss": 0.2467, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2216128706932068, | |
| "step": 1765, | |
| "valid_targets_mean": 1965.0, | |
| "valid_targets_min": 861 | |
| }, | |
| { | |
| "epoch": 2.9549248747913186, | |
| "grad_norm": 0.7313757341850193, | |
| "learning_rate": 2.865516223791601e-05, | |
| "loss": 0.2575, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26219192147254944, | |
| "step": 1770, | |
| "valid_targets_mean": 2038.5, | |
| "valid_targets_min": 944 | |
| }, | |
| { | |
| "epoch": 2.963272120200334, | |
| "grad_norm": 0.6768246806109347, | |
| "learning_rate": 2.8580023109324137e-05, | |
| "loss": 0.2339, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.234646737575531, | |
| "step": 1775, | |
| "valid_targets_mean": 2185.1, | |
| "valid_targets_min": 681 | |
| }, | |
| { | |
| "epoch": 2.971619365609349, | |
| "grad_norm": 0.7122144571530461, | |
| "learning_rate": 2.8504735266006717e-05, | |
| "loss": 0.2358, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.27237963676452637, | |
| "step": 1780, | |
| "valid_targets_mean": 2903.6, | |
| "valid_targets_min": 614 | |
| }, | |
| { | |
| "epoch": 2.979966611018364, | |
| "grad_norm": 0.7358658160448729, | |
| "learning_rate": 2.8429300012903245e-05, | |
| "loss": 0.2492, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.28576362133026123, | |
| "step": 1785, | |
| "valid_targets_mean": 1996.7, | |
| "valid_targets_min": 967 | |
| }, | |
| { | |
| "epoch": 2.988313856427379, | |
| "grad_norm": 0.6149098097365543, | |
| "learning_rate": 2.8353718657508206e-05, | |
| "loss": 0.2311, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1908757984638214, | |
| "step": 1790, | |
| "valid_targets_mean": 2278.7, | |
| "valid_targets_min": 772 | |
| }, | |
| { | |
| "epoch": 2.996661101836394, | |
| "grad_norm": 0.6789566802468145, | |
| "learning_rate": 2.827799250984844e-05, | |
| "loss": 0.238, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2509405016899109, | |
| "step": 1795, | |
| "valid_targets_mean": 2205.6, | |
| "valid_targets_min": 761 | |
| }, | |
| { | |
| "epoch": 3.005008347245409, | |
| "grad_norm": 0.6600698036876375, | |
| "learning_rate": 2.8202122882460418e-05, | |
| "loss": 0.2211, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.199271559715271, | |
| "step": 1800, | |
| "valid_targets_mean": 2666.2, | |
| "valid_targets_min": 523 | |
| }, | |
| { | |
| "epoch": 3.013355592654424, | |
| "grad_norm": 0.6880197269898586, | |
| "learning_rate": 2.81261110903675e-05, | |
| "loss": 0.2056, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20546582341194153, | |
| "step": 1805, | |
| "valid_targets_mean": 2364.2, | |
| "valid_targets_min": 730 | |
| }, | |
| { | |
| "epoch": 3.021702838063439, | |
| "grad_norm": 0.7244180983476358, | |
| "learning_rate": 2.804995845105714e-05, | |
| "loss": 0.205, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19351571798324585, | |
| "step": 1810, | |
| "valid_targets_mean": 2140.0, | |
| "valid_targets_min": 787 | |
| }, | |
| { | |
| "epoch": 3.030050083472454, | |
| "grad_norm": 0.6197068239432737, | |
| "learning_rate": 2.7973666284458048e-05, | |
| "loss": 0.2187, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1775825023651123, | |
| "step": 1815, | |
| "valid_targets_mean": 2523.5, | |
| "valid_targets_min": 747 | |
| }, | |
| { | |
| "epoch": 3.038397328881469, | |
| "grad_norm": 0.6186316306349579, | |
| "learning_rate": 2.7897235912917318e-05, | |
| "loss": 0.1907, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1805172711610794, | |
| "step": 1820, | |
| "valid_targets_mean": 2927.8, | |
| "valid_targets_min": 711 | |
| }, | |
| { | |
| "epoch": 3.046744574290484, | |
| "grad_norm": 0.7416894691661986, | |
| "learning_rate": 2.7820668661177505e-05, | |
| "loss": 0.217, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22550976276397705, | |
| "step": 1825, | |
| "valid_targets_mean": 2538.1, | |
| "valid_targets_min": 912 | |
| }, | |
| { | |
| "epoch": 3.0550918196994994, | |
| "grad_norm": 0.740249273747313, | |
| "learning_rate": 2.7743965856353666e-05, | |
| "loss": 0.2242, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17422476410865784, | |
| "step": 1830, | |
| "valid_targets_mean": 1954.8, | |
| "valid_targets_min": 835 | |
| }, | |
| { | |
| "epoch": 3.0634390651085144, | |
| "grad_norm": 0.7535335414584483, | |
| "learning_rate": 2.7667128827910343e-05, | |
| "loss": 0.207, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17968419194221497, | |
| "step": 1835, | |
| "valid_targets_mean": 1711.3, | |
| "valid_targets_min": 762 | |
| }, | |
| { | |
| "epoch": 3.0717863105175294, | |
| "grad_norm": 0.7237942366354729, | |
| "learning_rate": 2.7590158907638552e-05, | |
| "loss": 0.2063, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18092207610607147, | |
| "step": 1840, | |
| "valid_targets_mean": 1816.8, | |
| "valid_targets_min": 592 | |
| }, | |
| { | |
| "epoch": 3.0801335559265444, | |
| "grad_norm": 0.7385702671649094, | |
| "learning_rate": 2.7513057429632656e-05, | |
| "loss": 0.1963, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1769607961177826, | |
| "step": 1845, | |
| "valid_targets_mean": 2052.9, | |
| "valid_targets_min": 441 | |
| }, | |
| { | |
| "epoch": 3.0884808013355594, | |
| "grad_norm": 0.753893856292005, | |
| "learning_rate": 2.7435825730267285e-05, | |
| "loss": 0.2136, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19851276278495789, | |
| "step": 1850, | |
| "valid_targets_mean": 1892.8, | |
| "valid_targets_min": 720 | |
| }, | |
| { | |
| "epoch": 3.0968280467445743, | |
| "grad_norm": 0.7818860359527091, | |
| "learning_rate": 2.7358465148174143e-05, | |
| "loss": 0.2054, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1829618513584137, | |
| "step": 1855, | |
| "valid_targets_mean": 2546.3, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 3.1051752921535893, | |
| "grad_norm": 0.6618176032610746, | |
| "learning_rate": 2.728097702421882e-05, | |
| "loss": 0.1986, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17300860583782196, | |
| "step": 1860, | |
| "valid_targets_mean": 2134.3, | |
| "valid_targets_min": 788 | |
| }, | |
| { | |
| "epoch": 3.1135225375626043, | |
| "grad_norm": 0.8399148343537419, | |
| "learning_rate": 2.720336270147754e-05, | |
| "loss": 0.2102, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20378287136554718, | |
| "step": 1865, | |
| "valid_targets_mean": 1742.4, | |
| "valid_targets_min": 743 | |
| }, | |
| { | |
| "epoch": 3.1218697829716193, | |
| "grad_norm": 0.6998272425633003, | |
| "learning_rate": 2.71256235252139e-05, | |
| "loss": 0.202, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17975613474845886, | |
| "step": 1870, | |
| "valid_targets_mean": 1958.1, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 3.1302170283806343, | |
| "grad_norm": 0.8063543185019679, | |
| "learning_rate": 2.7047760842855536e-05, | |
| "loss": 0.2185, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23194459080696106, | |
| "step": 1875, | |
| "valid_targets_mean": 2624.8, | |
| "valid_targets_min": 952 | |
| }, | |
| { | |
| "epoch": 3.1385642737896493, | |
| "grad_norm": 0.7198332608332704, | |
| "learning_rate": 2.6969776003970777e-05, | |
| "loss": 0.2061, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2293994426727295, | |
| "step": 1880, | |
| "valid_targets_mean": 2671.6, | |
| "valid_targets_min": 475 | |
| }, | |
| { | |
| "epoch": 3.1469115191986643, | |
| "grad_norm": 0.8095457359184923, | |
| "learning_rate": 2.6891670360245244e-05, | |
| "loss": 0.2275, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22839170694351196, | |
| "step": 1885, | |
| "valid_targets_mean": 1831.1, | |
| "valid_targets_min": 813 | |
| }, | |
| { | |
| "epoch": 3.1552587646076793, | |
| "grad_norm": 0.7207165913622955, | |
| "learning_rate": 2.6813445265458438e-05, | |
| "loss": 0.2047, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2124374508857727, | |
| "step": 1890, | |
| "valid_targets_mean": 2360.6, | |
| "valid_targets_min": 779 | |
| }, | |
| { | |
| "epoch": 3.1636060100166947, | |
| "grad_norm": 0.7649134857899963, | |
| "learning_rate": 2.6735102075460257e-05, | |
| "loss": 0.1918, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20324769616127014, | |
| "step": 1895, | |
| "valid_targets_mean": 1896.7, | |
| "valid_targets_min": 810 | |
| }, | |
| { | |
| "epoch": 3.1719532554257097, | |
| "grad_norm": 0.6513034127013698, | |
| "learning_rate": 2.665664214814752e-05, | |
| "loss": 0.2015, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18446782231330872, | |
| "step": 1900, | |
| "valid_targets_mean": 2563.6, | |
| "valid_targets_min": 1052 | |
| }, | |
| { | |
| "epoch": 3.1803005008347247, | |
| "grad_norm": 0.7335008506139117, | |
| "learning_rate": 2.65780668434404e-05, | |
| "loss": 0.1981, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20354166626930237, | |
| "step": 1905, | |
| "valid_targets_mean": 2524.7, | |
| "valid_targets_min": 637 | |
| }, | |
| { | |
| "epoch": 3.1886477462437397, | |
| "grad_norm": 0.8480331519341718, | |
| "learning_rate": 2.649937752325887e-05, | |
| "loss": 0.2133, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22984029352664948, | |
| "step": 1910, | |
| "valid_targets_mean": 2089.6, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 3.1969949916527547, | |
| "grad_norm": 0.8968895450540663, | |
| "learning_rate": 2.64205755514991e-05, | |
| "loss": 0.2235, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24820029735565186, | |
| "step": 1915, | |
| "valid_targets_mean": 1858.2, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 3.2053422370617697, | |
| "grad_norm": 0.8371027743279744, | |
| "learning_rate": 2.634166229400982e-05, | |
| "loss": 0.2435, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23452766239643097, | |
| "step": 1920, | |
| "valid_targets_mean": 2166.8, | |
| "valid_targets_min": 676 | |
| }, | |
| { | |
| "epoch": 3.2136894824707847, | |
| "grad_norm": 0.6007974236801219, | |
| "learning_rate": 2.626263911856863e-05, | |
| "loss": 0.1944, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18619805574417114, | |
| "step": 1925, | |
| "valid_targets_mean": 3290.9, | |
| "valid_targets_min": 627 | |
| }, | |
| { | |
| "epoch": 3.2220367278797997, | |
| "grad_norm": 0.8365342869452538, | |
| "learning_rate": 2.6183507394858296e-05, | |
| "loss": 0.2288, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21354706585407257, | |
| "step": 1930, | |
| "valid_targets_mean": 1950.3, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 3.2303839732888147, | |
| "grad_norm": 0.925359777005885, | |
| "learning_rate": 2.6104268494443027e-05, | |
| "loss": 0.2167, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21958017349243164, | |
| "step": 1935, | |
| "valid_targets_mean": 1932.6, | |
| "valid_targets_min": 932 | |
| }, | |
| { | |
| "epoch": 3.2387312186978297, | |
| "grad_norm": 0.6218879507128591, | |
| "learning_rate": 2.6024923790744686e-05, | |
| "loss": 0.192, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21151047945022583, | |
| "step": 1940, | |
| "valid_targets_mean": 2720.3, | |
| "valid_targets_min": 1020 | |
| }, | |
| { | |
| "epoch": 3.2470784641068446, | |
| "grad_norm": 0.8132810161080779, | |
| "learning_rate": 2.594547465901899e-05, | |
| "loss": 0.1997, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2025194764137268, | |
| "step": 1945, | |
| "valid_targets_mean": 2000.6, | |
| "valid_targets_min": 885 | |
| }, | |
| { | |
| "epoch": 3.2554257095158596, | |
| "grad_norm": 0.750631680842447, | |
| "learning_rate": 2.5865922476331674e-05, | |
| "loss": 0.215, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23061227798461914, | |
| "step": 1950, | |
| "valid_targets_mean": 2381.8, | |
| "valid_targets_min": 558 | |
| }, | |
| { | |
| "epoch": 3.2637729549248746, | |
| "grad_norm": 0.7635400209418792, | |
| "learning_rate": 2.5786268621534626e-05, | |
| "loss": 0.2001, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19307637214660645, | |
| "step": 1955, | |
| "valid_targets_mean": 1770.5, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 3.27212020033389, | |
| "grad_norm": 0.8068310955065211, | |
| "learning_rate": 2.5706514475241964e-05, | |
| "loss": 0.2131, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22574101388454437, | |
| "step": 1960, | |
| "valid_targets_mean": 2430.2, | |
| "valid_targets_min": 710 | |
| }, | |
| { | |
| "epoch": 3.2804674457429046, | |
| "grad_norm": 0.6683046345309371, | |
| "learning_rate": 2.5626661419806147e-05, | |
| "loss": 0.2101, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20542487502098083, | |
| "step": 1965, | |
| "valid_targets_mean": 2587.2, | |
| "valid_targets_min": 628 | |
| }, | |
| { | |
| "epoch": 3.28881469115192, | |
| "grad_norm": 0.8190318720570766, | |
| "learning_rate": 2.5546710839293988e-05, | |
| "loss": 0.2142, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2078418731689453, | |
| "step": 1970, | |
| "valid_targets_mean": 1997.2, | |
| "valid_targets_min": 887 | |
| }, | |
| { | |
| "epoch": 3.297161936560935, | |
| "grad_norm": 1.0194362581196132, | |
| "learning_rate": 2.5466664119462667e-05, | |
| "loss": 0.1928, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20889687538146973, | |
| "step": 1975, | |
| "valid_targets_mean": 1949.8, | |
| "valid_targets_min": 502 | |
| }, | |
| { | |
| "epoch": 3.30550918196995, | |
| "grad_norm": 0.7456232327178741, | |
| "learning_rate": 2.5386522647735712e-05, | |
| "loss": 0.1978, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19417878985404968, | |
| "step": 1980, | |
| "valid_targets_mean": 1997.1, | |
| "valid_targets_min": 530 | |
| }, | |
| { | |
| "epoch": 3.313856427378965, | |
| "grad_norm": 0.6478403904691091, | |
| "learning_rate": 2.530628781317896e-05, | |
| "loss": 0.201, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2210979461669922, | |
| "step": 1985, | |
| "valid_targets_mean": 3150.8, | |
| "valid_targets_min": 798 | |
| }, | |
| { | |
| "epoch": 3.32220367278798, | |
| "grad_norm": 0.7733989159362327, | |
| "learning_rate": 2.5225961006476484e-05, | |
| "loss": 0.1999, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23125320672988892, | |
| "step": 1990, | |
| "valid_targets_mean": 1941.2, | |
| "valid_targets_min": 974 | |
| }, | |
| { | |
| "epoch": 3.330550918196995, | |
| "grad_norm": 0.706725558384721, | |
| "learning_rate": 2.5145543619906456e-05, | |
| "loss": 0.194, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18903513252735138, | |
| "step": 1995, | |
| "valid_targets_mean": 2310.9, | |
| "valid_targets_min": 925 | |
| }, | |
| { | |
| "epoch": 3.33889816360601, | |
| "grad_norm": 0.7561082223200716, | |
| "learning_rate": 2.5065037047317066e-05, | |
| "loss": 0.207, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20730358362197876, | |
| "step": 2000, | |
| "valid_targets_mean": 2447.6, | |
| "valid_targets_min": 639 | |
| }, | |
| { | |
| "epoch": 3.347245409015025, | |
| "grad_norm": 0.6896363314064868, | |
| "learning_rate": 2.4984442684102307e-05, | |
| "loss": 0.2022, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21380692720413208, | |
| "step": 2005, | |
| "valid_targets_mean": 2873.9, | |
| "valid_targets_min": 659 | |
| }, | |
| { | |
| "epoch": 3.35559265442404, | |
| "grad_norm": 0.776766912113279, | |
| "learning_rate": 2.4903761927177853e-05, | |
| "loss": 0.2206, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2006554901599884, | |
| "step": 2010, | |
| "valid_targets_mean": 1877.1, | |
| "valid_targets_min": 879 | |
| }, | |
| { | |
| "epoch": 3.363939899833055, | |
| "grad_norm": 0.649648115219964, | |
| "learning_rate": 2.482299617495678e-05, | |
| "loss": 0.2106, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18565139174461365, | |
| "step": 2015, | |
| "valid_targets_mean": 2477.9, | |
| "valid_targets_min": 565 | |
| }, | |
| { | |
| "epoch": 3.37228714524207, | |
| "grad_norm": 0.6785698331257374, | |
| "learning_rate": 2.474214682732538e-05, | |
| "loss": 0.2113, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18758153915405273, | |
| "step": 2020, | |
| "valid_targets_mean": 2457.2, | |
| "valid_targets_min": 962 | |
| }, | |
| { | |
| "epoch": 3.380634390651085, | |
| "grad_norm": 0.7688542630674376, | |
| "learning_rate": 2.466121528561887e-05, | |
| "loss": 0.1837, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19837577641010284, | |
| "step": 2025, | |
| "valid_targets_mean": 1913.9, | |
| "valid_targets_min": 689 | |
| }, | |
| { | |
| "epoch": 3.3889816360601, | |
| "grad_norm": 0.7534689229168448, | |
| "learning_rate": 2.4580202952597106e-05, | |
| "loss": 0.2141, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21255707740783691, | |
| "step": 2030, | |
| "valid_targets_mean": 1970.7, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 3.3973288814691154, | |
| "grad_norm": 0.6902091805329057, | |
| "learning_rate": 2.4499111232420275e-05, | |
| "loss": 0.2172, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19505161046981812, | |
| "step": 2035, | |
| "valid_targets_mean": 3377.1, | |
| "valid_targets_min": 886 | |
| }, | |
| { | |
| "epoch": 3.4056761268781304, | |
| "grad_norm": 0.7883956746439428, | |
| "learning_rate": 2.441794153062457e-05, | |
| "loss": 0.2193, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21510925889015198, | |
| "step": 2040, | |
| "valid_targets_mean": 1821.9, | |
| "valid_targets_min": 745 | |
| }, | |
| { | |
| "epoch": 3.4140233722871454, | |
| "grad_norm": 0.6742718385671317, | |
| "learning_rate": 2.4336695254097782e-05, | |
| "loss": 0.1954, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2005099058151245, | |
| "step": 2045, | |
| "valid_targets_mean": 2417.1, | |
| "valid_targets_min": 936 | |
| }, | |
| { | |
| "epoch": 3.4223706176961604, | |
| "grad_norm": 0.6854070730995327, | |
| "learning_rate": 2.425537381105498e-05, | |
| "loss": 0.2036, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18244539201259613, | |
| "step": 2050, | |
| "valid_targets_mean": 2198.9, | |
| "valid_targets_min": 564 | |
| }, | |
| { | |
| "epoch": 3.4307178631051753, | |
| "grad_norm": 0.7484967320495022, | |
| "learning_rate": 2.4173978611014053e-05, | |
| "loss": 0.2172, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2040974199771881, | |
| "step": 2055, | |
| "valid_targets_mean": 2380.5, | |
| "valid_targets_min": 905 | |
| }, | |
| { | |
| "epoch": 3.4390651085141903, | |
| "grad_norm": 0.7713044455268337, | |
| "learning_rate": 2.40925110647713e-05, | |
| "loss": 0.1978, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20483741164207458, | |
| "step": 2060, | |
| "valid_targets_mean": 2150.8, | |
| "valid_targets_min": 780 | |
| }, | |
| { | |
| "epoch": 3.4474123539232053, | |
| "grad_norm": 0.7734911051230774, | |
| "learning_rate": 2.4010972584376963e-05, | |
| "loss": 0.2191, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21728011965751648, | |
| "step": 2065, | |
| "valid_targets_mean": 2074.2, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 3.4557595993322203, | |
| "grad_norm": 0.767728459680409, | |
| "learning_rate": 2.392936458311078e-05, | |
| "loss": 0.1942, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21184173226356506, | |
| "step": 2070, | |
| "valid_targets_mean": 1850.9, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 3.4641068447412353, | |
| "grad_norm": 0.6460453855120204, | |
| "learning_rate": 2.3847688475457455e-05, | |
| "loss": 0.1966, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1995435506105423, | |
| "step": 2075, | |
| "valid_targets_mean": 3029.0, | |
| "valid_targets_min": 1015 | |
| }, | |
| { | |
| "epoch": 3.4724540901502503, | |
| "grad_norm": 0.6722751285835894, | |
| "learning_rate": 2.3765945677082168e-05, | |
| "loss": 0.2088, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2198968231678009, | |
| "step": 2080, | |
| "valid_targets_mean": 2835.6, | |
| "valid_targets_min": 1009 | |
| }, | |
| { | |
| "epoch": 3.4808013355592653, | |
| "grad_norm": 0.6854820902470308, | |
| "learning_rate": 2.368413760480603e-05, | |
| "loss": 0.1878, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18193744122982025, | |
| "step": 2085, | |
| "valid_targets_mean": 3915.0, | |
| "valid_targets_min": 568 | |
| }, | |
| { | |
| "epoch": 3.4891485809682803, | |
| "grad_norm": 0.711530790653231, | |
| "learning_rate": 2.360226567658151e-05, | |
| "loss": 0.1925, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22336947917938232, | |
| "step": 2090, | |
| "valid_targets_mean": 2574.9, | |
| "valid_targets_min": 952 | |
| }, | |
| { | |
| "epoch": 3.4974958263772953, | |
| "grad_norm": 0.619722638576771, | |
| "learning_rate": 2.3520331311467883e-05, | |
| "loss": 0.2207, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23564806580543518, | |
| "step": 2095, | |
| "valid_targets_mean": 3082.7, | |
| "valid_targets_min": 831 | |
| }, | |
| { | |
| "epoch": 3.5058430717863107, | |
| "grad_norm": 0.6693280886160189, | |
| "learning_rate": 2.3438335929606613e-05, | |
| "loss": 0.2322, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2105301171541214, | |
| "step": 2100, | |
| "valid_targets_mean": 2332.4, | |
| "valid_targets_min": 671 | |
| }, | |
| { | |
| "epoch": 3.5141903171953257, | |
| "grad_norm": 0.6200551765589567, | |
| "learning_rate": 2.3356280952196757e-05, | |
| "loss": 0.2015, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19008010625839233, | |
| "step": 2105, | |
| "valid_targets_mean": 2823.4, | |
| "valid_targets_min": 946 | |
| }, | |
| { | |
| "epoch": 3.5225375626043407, | |
| "grad_norm": 0.7823493214133, | |
| "learning_rate": 2.3274167801470314e-05, | |
| "loss": 0.2026, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22069746255874634, | |
| "step": 2110, | |
| "valid_targets_mean": 2198.3, | |
| "valid_targets_min": 774 | |
| }, | |
| { | |
| "epoch": 3.5308848080133557, | |
| "grad_norm": 0.805122581311334, | |
| "learning_rate": 2.3191997900667588e-05, | |
| "loss": 0.2247, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21660353243350983, | |
| "step": 2115, | |
| "valid_targets_mean": 1722.5, | |
| "valid_targets_min": 464 | |
| }, | |
| { | |
| "epoch": 3.5392320534223707, | |
| "grad_norm": 0.7989808566470185, | |
| "learning_rate": 2.310977267401251e-05, | |
| "loss": 0.2059, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.207453191280365, | |
| "step": 2120, | |
| "valid_targets_mean": 1765.3, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 3.5475792988313857, | |
| "grad_norm": 0.7562664407895434, | |
| "learning_rate": 2.302749354668795e-05, | |
| "loss": 0.2094, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1830502152442932, | |
| "step": 2125, | |
| "valid_targets_mean": 1835.9, | |
| "valid_targets_min": 612 | |
| }, | |
| { | |
| "epoch": 3.5559265442404007, | |
| "grad_norm": 0.690251516382656, | |
| "learning_rate": 2.2945161944811038e-05, | |
| "loss": 0.2033, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24697524309158325, | |
| "step": 2130, | |
| "valid_targets_mean": 2619.8, | |
| "valid_targets_min": 825 | |
| }, | |
| { | |
| "epoch": 3.5642737896494157, | |
| "grad_norm": 0.5588489722291431, | |
| "learning_rate": 2.2862779295408405e-05, | |
| "loss": 0.2123, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22931894659996033, | |
| "step": 2135, | |
| "valid_targets_mean": 3524.6, | |
| "valid_targets_min": 538 | |
| }, | |
| { | |
| "epoch": 3.5726210350584306, | |
| "grad_norm": 0.7625768394762137, | |
| "learning_rate": 2.2780347026391495e-05, | |
| "loss": 0.2176, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20581907033920288, | |
| "step": 2140, | |
| "valid_targets_mean": 1909.9, | |
| "valid_targets_min": 746 | |
| }, | |
| { | |
| "epoch": 3.5809682804674456, | |
| "grad_norm": 0.6671235206913544, | |
| "learning_rate": 2.2697866566531775e-05, | |
| "loss": 0.211, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18883800506591797, | |
| "step": 2145, | |
| "valid_targets_mean": 2590.1, | |
| "valid_targets_min": 923 | |
| }, | |
| { | |
| "epoch": 3.5893155258764606, | |
| "grad_norm": 0.5448551570935133, | |
| "learning_rate": 2.2615339345436e-05, | |
| "loss": 0.2119, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22831106185913086, | |
| "step": 2150, | |
| "valid_targets_mean": 3508.4, | |
| "valid_targets_min": 578 | |
| }, | |
| { | |
| "epoch": 3.597662771285476, | |
| "grad_norm": 0.6792066013173836, | |
| "learning_rate": 2.2532766793521413e-05, | |
| "loss": 0.2221, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21002694964408875, | |
| "step": 2155, | |
| "valid_targets_mean": 2160.6, | |
| "valid_targets_min": 550 | |
| }, | |
| { | |
| "epoch": 3.6060100166944906, | |
| "grad_norm": 0.8721197336677428, | |
| "learning_rate": 2.245015034199097e-05, | |
| "loss": 0.227, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22117319703102112, | |
| "step": 2160, | |
| "valid_targets_mean": 1553.8, | |
| "valid_targets_min": 555 | |
| }, | |
| { | |
| "epoch": 3.614357262103506, | |
| "grad_norm": 0.6416631529613723, | |
| "learning_rate": 2.2367491422808514e-05, | |
| "loss": 0.2047, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20796430110931396, | |
| "step": 2165, | |
| "valid_targets_mean": 3113.5, | |
| "valid_targets_min": 738 | |
| }, | |
| { | |
| "epoch": 3.6227045075125206, | |
| "grad_norm": 0.6598964810382094, | |
| "learning_rate": 2.228479146867397e-05, | |
| "loss": 0.1997, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16844062507152557, | |
| "step": 2170, | |
| "valid_targets_mean": 2920.0, | |
| "valid_targets_min": 918 | |
| }, | |
| { | |
| "epoch": 3.631051752921536, | |
| "grad_norm": 0.7732656977571363, | |
| "learning_rate": 2.2202051912998516e-05, | |
| "loss": 0.1889, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19828924536705017, | |
| "step": 2175, | |
| "valid_targets_mean": 1879.6, | |
| "valid_targets_min": 933 | |
| }, | |
| { | |
| "epoch": 3.639398998330551, | |
| "grad_norm": 0.7610326159405831, | |
| "learning_rate": 2.2119274189879727e-05, | |
| "loss": 0.2095, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2426915466785431, | |
| "step": 2180, | |
| "valid_targets_mean": 2422.4, | |
| "valid_targets_min": 420 | |
| }, | |
| { | |
| "epoch": 3.647746243739566, | |
| "grad_norm": 0.6211188010093095, | |
| "learning_rate": 2.2036459734076715e-05, | |
| "loss": 0.2021, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1922152042388916, | |
| "step": 2185, | |
| "valid_targets_mean": 3298.4, | |
| "valid_targets_min": 801 | |
| }, | |
| { | |
| "epoch": 3.656093489148581, | |
| "grad_norm": 0.7654802209669019, | |
| "learning_rate": 2.1953609980985266e-05, | |
| "loss": 0.1971, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1986810266971588, | |
| "step": 2190, | |
| "valid_targets_mean": 1681.1, | |
| "valid_targets_min": 675 | |
| }, | |
| { | |
| "epoch": 3.664440734557596, | |
| "grad_norm": 0.7644992080701967, | |
| "learning_rate": 2.1870726366612978e-05, | |
| "loss": 0.2327, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23523491621017456, | |
| "step": 2195, | |
| "valid_targets_mean": 2167.8, | |
| "valid_targets_min": 600 | |
| }, | |
| { | |
| "epoch": 3.672787979966611, | |
| "grad_norm": 0.7642624223820179, | |
| "learning_rate": 2.1787810327554345e-05, | |
| "loss": 0.2046, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22661182284355164, | |
| "step": 2200, | |
| "valid_targets_mean": 1921.0, | |
| "valid_targets_min": 772 | |
| }, | |
| { | |
| "epoch": 3.681135225375626, | |
| "grad_norm": 0.7027221331618968, | |
| "learning_rate": 2.170486330096586e-05, | |
| "loss": 0.1936, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1848253309726715, | |
| "step": 2205, | |
| "valid_targets_mean": 1921.4, | |
| "valid_targets_min": 914 | |
| }, | |
| { | |
| "epoch": 3.689482470784641, | |
| "grad_norm": 0.6429434253544364, | |
| "learning_rate": 2.1621886724541126e-05, | |
| "loss": 0.2034, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18040227890014648, | |
| "step": 2210, | |
| "valid_targets_mean": 2432.4, | |
| "valid_targets_min": 733 | |
| }, | |
| { | |
| "epoch": 3.697829716193656, | |
| "grad_norm": 0.7318785216160163, | |
| "learning_rate": 2.1538882036485923e-05, | |
| "loss": 0.2038, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21123959124088287, | |
| "step": 2215, | |
| "valid_targets_mean": 2331.3, | |
| "valid_targets_min": 982 | |
| }, | |
| { | |
| "epoch": 3.706176961602671, | |
| "grad_norm": 0.7212005574575913, | |
| "learning_rate": 2.1455850675493267e-05, | |
| "loss": 0.2076, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2096509486436844, | |
| "step": 2220, | |
| "valid_targets_mean": 2168.4, | |
| "valid_targets_min": 659 | |
| }, | |
| { | |
| "epoch": 3.714524207011686, | |
| "grad_norm": 0.7422932722800749, | |
| "learning_rate": 2.1372794080718506e-05, | |
| "loss": 0.2029, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21337196230888367, | |
| "step": 2225, | |
| "valid_targets_mean": 2458.9, | |
| "valid_targets_min": 1082 | |
| }, | |
| { | |
| "epoch": 3.7228714524207014, | |
| "grad_norm": 0.7809092697038788, | |
| "learning_rate": 2.1289713691754338e-05, | |
| "loss": 0.2218, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1921750158071518, | |
| "step": 2230, | |
| "valid_targets_mean": 1931.6, | |
| "valid_targets_min": 596 | |
| }, | |
| { | |
| "epoch": 3.731218697829716, | |
| "grad_norm": 0.7560491634824293, | |
| "learning_rate": 2.1206610948605894e-05, | |
| "loss": 0.2105, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19463232159614563, | |
| "step": 2235, | |
| "valid_targets_mean": 1938.1, | |
| "valid_targets_min": 832 | |
| }, | |
| { | |
| "epoch": 3.7395659432387314, | |
| "grad_norm": 0.7459539532072016, | |
| "learning_rate": 2.1123487291665753e-05, | |
| "loss": 0.1937, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24305976927280426, | |
| "step": 2240, | |
| "valid_targets_mean": 2654.8, | |
| "valid_targets_min": 762 | |
| }, | |
| { | |
| "epoch": 3.7479131886477464, | |
| "grad_norm": 0.6488047905600907, | |
| "learning_rate": 2.104034416168899e-05, | |
| "loss": 0.24, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.24533326923847198, | |
| "step": 2245, | |
| "valid_targets_mean": 3224.9, | |
| "valid_targets_min": 1407 | |
| }, | |
| { | |
| "epoch": 3.7562604340567614, | |
| "grad_norm": 0.6398628262478103, | |
| "learning_rate": 2.0957182999768198e-05, | |
| "loss": 0.2017, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2013179361820221, | |
| "step": 2250, | |
| "valid_targets_mean": 2803.2, | |
| "valid_targets_min": 893 | |
| }, | |
| { | |
| "epoch": 3.7646076794657763, | |
| "grad_norm": 0.7308505980783866, | |
| "learning_rate": 2.0874005247308512e-05, | |
| "loss": 0.2227, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2478942573070526, | |
| "step": 2255, | |
| "valid_targets_mean": 2577.0, | |
| "valid_targets_min": 832 | |
| }, | |
| { | |
| "epoch": 3.7729549248747913, | |
| "grad_norm": 0.6728062023612603, | |
| "learning_rate": 2.0790812346002626e-05, | |
| "loss": 0.1936, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1975017935037613, | |
| "step": 2260, | |
| "valid_targets_mean": 2567.7, | |
| "valid_targets_min": 975 | |
| }, | |
| { | |
| "epoch": 3.7813021702838063, | |
| "grad_norm": 0.7267880171435015, | |
| "learning_rate": 2.0707605737805797e-05, | |
| "loss": 0.2117, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21225476264953613, | |
| "step": 2265, | |
| "valid_targets_mean": 2138.4, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 3.7896494156928213, | |
| "grad_norm": 0.7804764968075086, | |
| "learning_rate": 2.0624386864910876e-05, | |
| "loss": 0.2091, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19162751734256744, | |
| "step": 2270, | |
| "valid_targets_mean": 1975.8, | |
| "valid_targets_min": 670 | |
| }, | |
| { | |
| "epoch": 3.7979966611018363, | |
| "grad_norm": 0.694145808170385, | |
| "learning_rate": 2.054115716972328e-05, | |
| "loss": 0.2004, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17722634971141815, | |
| "step": 2275, | |
| "valid_targets_mean": 2189.9, | |
| "valid_targets_min": 614 | |
| }, | |
| { | |
| "epoch": 3.8063439065108513, | |
| "grad_norm": 0.6377495631501621, | |
| "learning_rate": 2.045791809483601e-05, | |
| "loss": 0.2253, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21739456057548523, | |
| "step": 2280, | |
| "valid_targets_mean": 2950.0, | |
| "valid_targets_min": 920 | |
| }, | |
| { | |
| "epoch": 3.8146911519198663, | |
| "grad_norm": 0.7049710163243371, | |
| "learning_rate": 2.0374671083004642e-05, | |
| "loss": 0.1952, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20642341673374176, | |
| "step": 2285, | |
| "valid_targets_mean": 2407.1, | |
| "valid_targets_min": 955 | |
| }, | |
| { | |
| "epoch": 3.8230383973288813, | |
| "grad_norm": 0.715307747486492, | |
| "learning_rate": 2.0291417577122314e-05, | |
| "loss": 0.2051, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19637277722358704, | |
| "step": 2290, | |
| "valid_targets_mean": 2259.7, | |
| "valid_targets_min": 659 | |
| }, | |
| { | |
| "epoch": 3.8313856427378967, | |
| "grad_norm": 0.6976199525244242, | |
| "learning_rate": 2.0208159020194734e-05, | |
| "loss": 0.2085, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2205023169517517, | |
| "step": 2295, | |
| "valid_targets_mean": 2503.6, | |
| "valid_targets_min": 1159 | |
| }, | |
| { | |
| "epoch": 3.8397328881469113, | |
| "grad_norm": 0.650485187576972, | |
| "learning_rate": 2.012489685531515e-05, | |
| "loss": 0.1886, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2000371515750885, | |
| "step": 2300, | |
| "valid_targets_mean": 2891.1, | |
| "valid_targets_min": 773 | |
| }, | |
| { | |
| "epoch": 3.8480801335559267, | |
| "grad_norm": 0.6299480584067116, | |
| "learning_rate": 2.0041632525639356e-05, | |
| "loss": 0.2162, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21248218417167664, | |
| "step": 2305, | |
| "valid_targets_mean": 3329.3, | |
| "valid_targets_min": 917 | |
| }, | |
| { | |
| "epoch": 3.8564273789649417, | |
| "grad_norm": 0.6770111184963179, | |
| "learning_rate": 1.9958367474360648e-05, | |
| "loss": 0.2083, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21817216277122498, | |
| "step": 2310, | |
| "valid_targets_mean": 2617.1, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 3.8647746243739567, | |
| "grad_norm": 0.6059743850650934, | |
| "learning_rate": 1.9875103144684852e-05, | |
| "loss": 0.1935, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17140190303325653, | |
| "step": 2315, | |
| "valid_targets_mean": 2652.0, | |
| "valid_targets_min": 605 | |
| }, | |
| { | |
| "epoch": 3.8731218697829717, | |
| "grad_norm": 0.6549731388872466, | |
| "learning_rate": 1.979184097980527e-05, | |
| "loss": 0.2087, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2195884734392166, | |
| "step": 2320, | |
| "valid_targets_mean": 3325.1, | |
| "valid_targets_min": 595 | |
| }, | |
| { | |
| "epoch": 3.8814691151919867, | |
| "grad_norm": 0.8016279355136618, | |
| "learning_rate": 1.9708582422877693e-05, | |
| "loss": 0.2197, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20927119255065918, | |
| "step": 2325, | |
| "valid_targets_mean": 1874.6, | |
| "valid_targets_min": 506 | |
| }, | |
| { | |
| "epoch": 3.8898163606010017, | |
| "grad_norm": 0.7114167133031067, | |
| "learning_rate": 1.9625328916995365e-05, | |
| "loss": 0.1999, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.189249187707901, | |
| "step": 2330, | |
| "valid_targets_mean": 2111.6, | |
| "valid_targets_min": 584 | |
| }, | |
| { | |
| "epoch": 3.8981636060100167, | |
| "grad_norm": 0.8141535488921566, | |
| "learning_rate": 1.9542081905163997e-05, | |
| "loss": 0.2004, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22716504335403442, | |
| "step": 2335, | |
| "valid_targets_mean": 1641.9, | |
| "valid_targets_min": 512 | |
| }, | |
| { | |
| "epoch": 3.9065108514190316, | |
| "grad_norm": 0.6360167034721957, | |
| "learning_rate": 1.9458842830276724e-05, | |
| "loss": 0.2263, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.3129171133041382, | |
| "step": 2340, | |
| "valid_targets_mean": 3491.8, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 3.9148580968280466, | |
| "grad_norm": 0.6839140749178415, | |
| "learning_rate": 1.937561313508913e-05, | |
| "loss": 0.1994, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21404977142810822, | |
| "step": 2345, | |
| "valid_targets_mean": 2504.5, | |
| "valid_targets_min": 807 | |
| }, | |
| { | |
| "epoch": 3.9232053422370616, | |
| "grad_norm": 0.682830540324075, | |
| "learning_rate": 1.9292394262194213e-05, | |
| "loss": 0.222, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18228735029697418, | |
| "step": 2350, | |
| "valid_targets_mean": 2244.4, | |
| "valid_targets_min": 921 | |
| }, | |
| { | |
| "epoch": 3.9315525876460766, | |
| "grad_norm": 0.5903144670873757, | |
| "learning_rate": 1.9209187653997385e-05, | |
| "loss": 0.2111, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.154928058385849, | |
| "step": 2355, | |
| "valid_targets_mean": 2992.8, | |
| "valid_targets_min": 504 | |
| }, | |
| { | |
| "epoch": 3.939899833055092, | |
| "grad_norm": 0.8046632262469848, | |
| "learning_rate": 1.91259947526915e-05, | |
| "loss": 0.1927, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17956694960594177, | |
| "step": 2360, | |
| "valid_targets_mean": 1573.6, | |
| "valid_targets_min": 918 | |
| }, | |
| { | |
| "epoch": 3.9482470784641066, | |
| "grad_norm": 0.7214459827467645, | |
| "learning_rate": 1.904281700023181e-05, | |
| "loss": 0.209, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22078362107276917, | |
| "step": 2365, | |
| "valid_targets_mean": 2344.6, | |
| "valid_targets_min": 1014 | |
| }, | |
| { | |
| "epoch": 3.956594323873122, | |
| "grad_norm": 0.7726818600012659, | |
| "learning_rate": 1.895965583831102e-05, | |
| "loss": 0.2101, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23711560666561127, | |
| "step": 2370, | |
| "valid_targets_mean": 1962.9, | |
| "valid_targets_min": 909 | |
| }, | |
| { | |
| "epoch": 3.964941569282137, | |
| "grad_norm": 0.9719727401517482, | |
| "learning_rate": 1.887651270833425e-05, | |
| "loss": 0.2127, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21433967351913452, | |
| "step": 2375, | |
| "valid_targets_mean": 1982.1, | |
| "valid_targets_min": 781 | |
| }, | |
| { | |
| "epoch": 3.973288814691152, | |
| "grad_norm": 0.8241914077550181, | |
| "learning_rate": 1.8793389051394116e-05, | |
| "loss": 0.2034, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2188546061515808, | |
| "step": 2380, | |
| "valid_targets_mean": 1938.2, | |
| "valid_targets_min": 501 | |
| }, | |
| { | |
| "epoch": 3.981636060100167, | |
| "grad_norm": 0.6623290144770669, | |
| "learning_rate": 1.8710286308245665e-05, | |
| "loss": 0.203, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2089979350566864, | |
| "step": 2385, | |
| "valid_targets_mean": 2435.5, | |
| "valid_targets_min": 973 | |
| }, | |
| { | |
| "epoch": 3.989983305509182, | |
| "grad_norm": 0.6191703769782088, | |
| "learning_rate": 1.8627205919281507e-05, | |
| "loss": 0.2083, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1830480992794037, | |
| "step": 2390, | |
| "valid_targets_mean": 2697.2, | |
| "valid_targets_min": 457 | |
| }, | |
| { | |
| "epoch": 3.998330550918197, | |
| "grad_norm": 0.5849470086893942, | |
| "learning_rate": 1.8544149324506736e-05, | |
| "loss": 0.2144, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23716729879379272, | |
| "step": 2395, | |
| "valid_targets_mean": 3264.4, | |
| "valid_targets_min": 784 | |
| }, | |
| { | |
| "epoch": 4.006677796327212, | |
| "grad_norm": 0.5582143247963175, | |
| "learning_rate": 1.8461117963514087e-05, | |
| "loss": 0.1808, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1648591160774231, | |
| "step": 2400, | |
| "valid_targets_mean": 3364.1, | |
| "valid_targets_min": 593 | |
| }, | |
| { | |
| "epoch": 4.015025041736227, | |
| "grad_norm": 0.712609860590282, | |
| "learning_rate": 1.8378113275458877e-05, | |
| "loss": 0.1843, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16371040046215057, | |
| "step": 2405, | |
| "valid_targets_mean": 2522.4, | |
| "valid_targets_min": 896 | |
| }, | |
| { | |
| "epoch": 4.023372287145242, | |
| "grad_norm": 0.6302951960527349, | |
| "learning_rate": 1.8295136699034152e-05, | |
| "loss": 0.1922, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16981709003448486, | |
| "step": 2410, | |
| "valid_targets_mean": 3448.9, | |
| "valid_targets_min": 720 | |
| }, | |
| { | |
| "epoch": 4.031719532554257, | |
| "grad_norm": 0.6973424752494735, | |
| "learning_rate": 1.8212189672445665e-05, | |
| "loss": 0.1579, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18264523148536682, | |
| "step": 2415, | |
| "valid_targets_mean": 2590.7, | |
| "valid_targets_min": 602 | |
| }, | |
| { | |
| "epoch": 4.040066777963272, | |
| "grad_norm": 0.7405848585089333, | |
| "learning_rate": 1.812927363338703e-05, | |
| "loss": 0.1811, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20967480540275574, | |
| "step": 2420, | |
| "valid_targets_mean": 2410.1, | |
| "valid_targets_min": 784 | |
| }, | |
| { | |
| "epoch": 4.048414023372287, | |
| "grad_norm": 0.6468624052165478, | |
| "learning_rate": 1.8046390019014738e-05, | |
| "loss": 0.1705, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13376326858997345, | |
| "step": 2425, | |
| "valid_targets_mean": 2640.8, | |
| "valid_targets_min": 876 | |
| }, | |
| { | |
| "epoch": 4.056761268781302, | |
| "grad_norm": 0.7714422118717371, | |
| "learning_rate": 1.7963540265923298e-05, | |
| "loss": 0.169, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17131450772285461, | |
| "step": 2430, | |
| "valid_targets_mean": 2827.1, | |
| "valid_targets_min": 506 | |
| }, | |
| { | |
| "epoch": 4.065108514190317, | |
| "grad_norm": 0.8047015948863985, | |
| "learning_rate": 1.788072581012028e-05, | |
| "loss": 0.205, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20028193295001984, | |
| "step": 2435, | |
| "valid_targets_mean": 2139.6, | |
| "valid_targets_min": 840 | |
| }, | |
| { | |
| "epoch": 4.073455759599332, | |
| "grad_norm": 0.8168427758567236, | |
| "learning_rate": 1.779794808700149e-05, | |
| "loss": 0.1715, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17494890093803406, | |
| "step": 2440, | |
| "valid_targets_mean": 2450.1, | |
| "valid_targets_min": 831 | |
| }, | |
| { | |
| "epoch": 4.081803005008347, | |
| "grad_norm": 0.6952936019629056, | |
| "learning_rate": 1.7715208531326032e-05, | |
| "loss": 0.1822, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19658498466014862, | |
| "step": 2445, | |
| "valid_targets_mean": 3185.4, | |
| "valid_targets_min": 806 | |
| }, | |
| { | |
| "epoch": 4.090150250417362, | |
| "grad_norm": 0.7743934240304633, | |
| "learning_rate": 1.76325085771915e-05, | |
| "loss": 0.1923, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2374129444360733, | |
| "step": 2450, | |
| "valid_targets_mean": 2400.8, | |
| "valid_targets_min": 1087 | |
| }, | |
| { | |
| "epoch": 4.098497495826377, | |
| "grad_norm": 0.6609765472235122, | |
| "learning_rate": 1.7549849658009037e-05, | |
| "loss": 0.1706, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14749598503112793, | |
| "step": 2455, | |
| "valid_targets_mean": 2871.9, | |
| "valid_targets_min": 957 | |
| }, | |
| { | |
| "epoch": 4.106844741235392, | |
| "grad_norm": 0.6101007189851678, | |
| "learning_rate": 1.7467233206478597e-05, | |
| "loss": 0.165, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15067794919013977, | |
| "step": 2460, | |
| "valid_targets_mean": 3465.1, | |
| "valid_targets_min": 1039 | |
| }, | |
| { | |
| "epoch": 4.115191986644407, | |
| "grad_norm": 0.5723123016148967, | |
| "learning_rate": 1.7384660654564006e-05, | |
| "loss": 0.1763, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14278893172740936, | |
| "step": 2465, | |
| "valid_targets_mean": 3263.4, | |
| "valid_targets_min": 894 | |
| }, | |
| { | |
| "epoch": 4.123539232053423, | |
| "grad_norm": 0.8367092789249855, | |
| "learning_rate": 1.7302133433468232e-05, | |
| "loss": 0.1896, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17440810799598694, | |
| "step": 2470, | |
| "valid_targets_mean": 1854.0, | |
| "valid_targets_min": 910 | |
| }, | |
| { | |
| "epoch": 4.131886477462437, | |
| "grad_norm": 0.6879161702942003, | |
| "learning_rate": 1.7219652973608512e-05, | |
| "loss": 0.1744, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16357824206352234, | |
| "step": 2475, | |
| "valid_targets_mean": 2852.9, | |
| "valid_targets_min": 1087 | |
| }, | |
| { | |
| "epoch": 4.140233722871453, | |
| "grad_norm": 0.7402621755937144, | |
| "learning_rate": 1.7137220704591605e-05, | |
| "loss": 0.1844, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23762917518615723, | |
| "step": 2480, | |
| "valid_targets_mean": 2942.2, | |
| "valid_targets_min": 797 | |
| }, | |
| { | |
| "epoch": 4.148580968280467, | |
| "grad_norm": 0.9789294953609318, | |
| "learning_rate": 1.7054838055188972e-05, | |
| "loss": 0.175, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14113131165504456, | |
| "step": 2485, | |
| "valid_targets_mean": 2491.5, | |
| "valid_targets_min": 915 | |
| }, | |
| { | |
| "epoch": 4.156928213689483, | |
| "grad_norm": 0.8155143288103909, | |
| "learning_rate": 1.6972506453312057e-05, | |
| "loss": 0.169, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1591186821460724, | |
| "step": 2490, | |
| "valid_targets_mean": 2304.6, | |
| "valid_targets_min": 810 | |
| }, | |
| { | |
| "epoch": 4.165275459098497, | |
| "grad_norm": 0.7582965189370305, | |
| "learning_rate": 1.6890227325987498e-05, | |
| "loss": 0.1789, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1897093653678894, | |
| "step": 2495, | |
| "valid_targets_mean": 2449.8, | |
| "valid_targets_min": 888 | |
| }, | |
| { | |
| "epoch": 4.173622704507513, | |
| "grad_norm": 0.9022866245657722, | |
| "learning_rate": 1.6808002099332422e-05, | |
| "loss": 0.1748, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16646668314933777, | |
| "step": 2500, | |
| "valid_targets_mean": 1401.7, | |
| "valid_targets_min": 459 | |
| }, | |
| { | |
| "epoch": 4.181969949916527, | |
| "grad_norm": 0.6353207443222258, | |
| "learning_rate": 1.672583219852969e-05, | |
| "loss": 0.1855, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19985511898994446, | |
| "step": 2505, | |
| "valid_targets_mean": 2908.8, | |
| "valid_targets_min": 893 | |
| }, | |
| { | |
| "epoch": 4.190317195325543, | |
| "grad_norm": 0.6992695972271169, | |
| "learning_rate": 1.6643719047803243e-05, | |
| "loss": 0.2099, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2118116170167923, | |
| "step": 2510, | |
| "valid_targets_mean": 2788.0, | |
| "valid_targets_min": 538 | |
| }, | |
| { | |
| "epoch": 4.198664440734557, | |
| "grad_norm": 0.7166690117751446, | |
| "learning_rate": 1.656166407039339e-05, | |
| "loss": 0.1703, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15704311430454254, | |
| "step": 2515, | |
| "valid_targets_mean": 2429.9, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 4.207011686143573, | |
| "grad_norm": 0.6907549087139597, | |
| "learning_rate": 1.647966868853212e-05, | |
| "loss": 0.1797, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16582372784614563, | |
| "step": 2520, | |
| "valid_targets_mean": 2947.7, | |
| "valid_targets_min": 776 | |
| }, | |
| { | |
| "epoch": 4.215358931552587, | |
| "grad_norm": 0.5916568264998654, | |
| "learning_rate": 1.6397734323418494e-05, | |
| "loss": 0.1927, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19136972725391388, | |
| "step": 2525, | |
| "valid_targets_mean": 3323.2, | |
| "valid_targets_min": 1037 | |
| }, | |
| { | |
| "epoch": 4.223706176961603, | |
| "grad_norm": 0.8355390659981319, | |
| "learning_rate": 1.6315862395193972e-05, | |
| "loss": 0.1587, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16667363047599792, | |
| "step": 2530, | |
| "valid_targets_mean": 1949.8, | |
| "valid_targets_min": 887 | |
| }, | |
| { | |
| "epoch": 4.232053422370618, | |
| "grad_norm": 0.8689209760850255, | |
| "learning_rate": 1.6234054322917835e-05, | |
| "loss": 0.1826, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20449230074882507, | |
| "step": 2535, | |
| "valid_targets_mean": 2197.4, | |
| "valid_targets_min": 950 | |
| }, | |
| { | |
| "epoch": 4.240400667779633, | |
| "grad_norm": 0.7658079357198947, | |
| "learning_rate": 1.615231152454255e-05, | |
| "loss": 0.1696, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15454424917697906, | |
| "step": 2540, | |
| "valid_targets_mean": 2235.7, | |
| "valid_targets_min": 547 | |
| }, | |
| { | |
| "epoch": 4.248747913188648, | |
| "grad_norm": 0.844338405392469, | |
| "learning_rate": 1.6070635416889228e-05, | |
| "loss": 0.1799, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18702611327171326, | |
| "step": 2545, | |
| "valid_targets_mean": 1845.4, | |
| "valid_targets_min": 728 | |
| }, | |
| { | |
| "epoch": 4.257095158597663, | |
| "grad_norm": 0.8034921341000566, | |
| "learning_rate": 1.598902741562304e-05, | |
| "loss": 0.1735, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1511102318763733, | |
| "step": 2550, | |
| "valid_targets_mean": 1769.6, | |
| "valid_targets_min": 958 | |
| }, | |
| { | |
| "epoch": 4.265442404006678, | |
| "grad_norm": 0.8547237220801418, | |
| "learning_rate": 1.590748893522871e-05, | |
| "loss": 0.1904, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1948571652173996, | |
| "step": 2555, | |
| "valid_targets_mean": 2333.6, | |
| "valid_targets_min": 929 | |
| }, | |
| { | |
| "epoch": 4.273789649415693, | |
| "grad_norm": 0.8629069589813636, | |
| "learning_rate": 1.5826021388985947e-05, | |
| "loss": 0.1878, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16754035651683807, | |
| "step": 2560, | |
| "valid_targets_mean": 1494.2, | |
| "valid_targets_min": 836 | |
| }, | |
| { | |
| "epoch": 4.282136894824708, | |
| "grad_norm": 0.7403146735207645, | |
| "learning_rate": 1.5744626188945023e-05, | |
| "loss": 0.1642, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1810435801744461, | |
| "step": 2565, | |
| "valid_targets_mean": 2366.1, | |
| "valid_targets_min": 842 | |
| }, | |
| { | |
| "epoch": 4.290484140233723, | |
| "grad_norm": 0.6797569126258614, | |
| "learning_rate": 1.5663304745902218e-05, | |
| "loss": 0.1749, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15583954751491547, | |
| "step": 2570, | |
| "valid_targets_mean": 2727.9, | |
| "valid_targets_min": 666 | |
| }, | |
| { | |
| "epoch": 4.298831385642738, | |
| "grad_norm": 0.5877960226453054, | |
| "learning_rate": 1.558205846937544e-05, | |
| "loss": 0.1632, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15551185607910156, | |
| "step": 2575, | |
| "valid_targets_mean": 3411.2, | |
| "valid_targets_min": 932 | |
| }, | |
| { | |
| "epoch": 4.307178631051753, | |
| "grad_norm": 0.741615218822046, | |
| "learning_rate": 1.5500888767579722e-05, | |
| "loss": 0.1771, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1795629858970642, | |
| "step": 2580, | |
| "valid_targets_mean": 2480.2, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 4.315525876460768, | |
| "grad_norm": 0.7628211565455336, | |
| "learning_rate": 1.5419797047402897e-05, | |
| "loss": 0.1714, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16926071047782898, | |
| "step": 2585, | |
| "valid_targets_mean": 2280.4, | |
| "valid_targets_min": 754 | |
| }, | |
| { | |
| "epoch": 4.323873121869783, | |
| "grad_norm": 0.7388999483238966, | |
| "learning_rate": 1.533878471438113e-05, | |
| "loss": 0.1889, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19348183274269104, | |
| "step": 2590, | |
| "valid_targets_mean": 2381.2, | |
| "valid_targets_min": 1017 | |
| }, | |
| { | |
| "epoch": 4.332220367278798, | |
| "grad_norm": 0.7884864288978387, | |
| "learning_rate": 1.5257853172674622e-05, | |
| "loss": 0.1722, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19860947132110596, | |
| "step": 2595, | |
| "valid_targets_mean": 2722.5, | |
| "valid_targets_min": 625 | |
| }, | |
| { | |
| "epoch": 4.340567612687813, | |
| "grad_norm": 0.8674405544659288, | |
| "learning_rate": 1.517700382504322e-05, | |
| "loss": 0.1902, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20209550857543945, | |
| "step": 2600, | |
| "valid_targets_mean": 2756.9, | |
| "valid_targets_min": 505 | |
| }, | |
| { | |
| "epoch": 4.348914858096828, | |
| "grad_norm": 0.8455635485526791, | |
| "learning_rate": 1.5096238072822153e-05, | |
| "loss": 0.1889, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22444558143615723, | |
| "step": 2605, | |
| "valid_targets_mean": 2094.9, | |
| "valid_targets_min": 893 | |
| }, | |
| { | |
| "epoch": 4.357262103505843, | |
| "grad_norm": 0.7187554593824949, | |
| "learning_rate": 1.5015557315897693e-05, | |
| "loss": 0.1763, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17899161577224731, | |
| "step": 2610, | |
| "valid_targets_mean": 2411.4, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 4.365609348914858, | |
| "grad_norm": 0.7012500042948445, | |
| "learning_rate": 1.4934962952682943e-05, | |
| "loss": 0.1726, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15650507807731628, | |
| "step": 2615, | |
| "valid_targets_mean": 2286.0, | |
| "valid_targets_min": 708 | |
| }, | |
| { | |
| "epoch": 4.373956594323873, | |
| "grad_norm": 0.7136418600160952, | |
| "learning_rate": 1.4854456380093544e-05, | |
| "loss": 0.1844, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19611938297748566, | |
| "step": 2620, | |
| "valid_targets_mean": 2849.1, | |
| "valid_targets_min": 749 | |
| }, | |
| { | |
| "epoch": 4.382303839732888, | |
| "grad_norm": 0.6375685432115179, | |
| "learning_rate": 1.4774038993523523e-05, | |
| "loss": 0.1676, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16059112548828125, | |
| "step": 2625, | |
| "valid_targets_mean": 2953.4, | |
| "valid_targets_min": 990 | |
| }, | |
| { | |
| "epoch": 4.390651085141903, | |
| "grad_norm": 0.8453867452754014, | |
| "learning_rate": 1.4693712186821039e-05, | |
| "loss": 0.1816, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18165963888168335, | |
| "step": 2630, | |
| "valid_targets_mean": 1884.1, | |
| "valid_targets_min": 738 | |
| }, | |
| { | |
| "epoch": 4.398998330550918, | |
| "grad_norm": 0.7259710450071463, | |
| "learning_rate": 1.4613477352264293e-05, | |
| "loss": 0.1851, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18239548802375793, | |
| "step": 2635, | |
| "valid_targets_mean": 2681.4, | |
| "valid_targets_min": 757 | |
| }, | |
| { | |
| "epoch": 4.407345575959933, | |
| "grad_norm": 0.8138629609968175, | |
| "learning_rate": 1.4533335880537336e-05, | |
| "loss": 0.1788, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17651066184043884, | |
| "step": 2640, | |
| "valid_targets_mean": 2010.4, | |
| "valid_targets_min": 945 | |
| }, | |
| { | |
| "epoch": 4.415692821368948, | |
| "grad_norm": 0.6569685325005385, | |
| "learning_rate": 1.4453289160706017e-05, | |
| "loss": 0.171, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16272369027137756, | |
| "step": 2645, | |
| "valid_targets_mean": 2699.7, | |
| "valid_targets_min": 872 | |
| }, | |
| { | |
| "epoch": 4.424040066777963, | |
| "grad_norm": 0.667045165519854, | |
| "learning_rate": 1.4373338580193853e-05, | |
| "loss": 0.173, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14593958854675293, | |
| "step": 2650, | |
| "valid_targets_mean": 2758.5, | |
| "valid_targets_min": 974 | |
| }, | |
| { | |
| "epoch": 4.432387312186978, | |
| "grad_norm": 0.8246982264820992, | |
| "learning_rate": 1.4293485524758045e-05, | |
| "loss": 0.1815, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19268116354942322, | |
| "step": 2655, | |
| "valid_targets_mean": 2117.9, | |
| "valid_targets_min": 899 | |
| }, | |
| { | |
| "epoch": 4.440734557595993, | |
| "grad_norm": 0.7487672031196141, | |
| "learning_rate": 1.4213731378465379e-05, | |
| "loss": 0.1727, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1685689240694046, | |
| "step": 2660, | |
| "valid_targets_mean": 2314.6, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 4.449081803005008, | |
| "grad_norm": 0.700420198972114, | |
| "learning_rate": 1.4134077523668327e-05, | |
| "loss": 0.1922, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20472325384616852, | |
| "step": 2665, | |
| "valid_targets_mean": 3130.6, | |
| "valid_targets_min": 916 | |
| }, | |
| { | |
| "epoch": 4.457429048414023, | |
| "grad_norm": 0.7954277590596873, | |
| "learning_rate": 1.405452534098101e-05, | |
| "loss": 0.1926, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23737061023712158, | |
| "step": 2670, | |
| "valid_targets_mean": 2361.6, | |
| "valid_targets_min": 671 | |
| }, | |
| { | |
| "epoch": 4.465776293823039, | |
| "grad_norm": 0.8079111183378004, | |
| "learning_rate": 1.3975076209255321e-05, | |
| "loss": 0.1716, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16911689937114716, | |
| "step": 2675, | |
| "valid_targets_mean": 1777.8, | |
| "valid_targets_min": 816 | |
| }, | |
| { | |
| "epoch": 4.474123539232053, | |
| "grad_norm": 0.6597628112752423, | |
| "learning_rate": 1.3895731505556978e-05, | |
| "loss": 0.1837, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17149250209331512, | |
| "step": 2680, | |
| "valid_targets_mean": 3182.1, | |
| "valid_targets_min": 453 | |
| }, | |
| { | |
| "epoch": 4.482470784641069, | |
| "grad_norm": 0.7125400817480053, | |
| "learning_rate": 1.3816492605141712e-05, | |
| "loss": 0.1953, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22295941412448883, | |
| "step": 2685, | |
| "valid_targets_mean": 2685.9, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 4.490818030050083, | |
| "grad_norm": 0.7068097619257393, | |
| "learning_rate": 1.3737360881431374e-05, | |
| "loss": 0.1788, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15548083186149597, | |
| "step": 2690, | |
| "valid_targets_mean": 2592.1, | |
| "valid_targets_min": 958 | |
| }, | |
| { | |
| "epoch": 4.499165275459099, | |
| "grad_norm": 0.7131140860983529, | |
| "learning_rate": 1.3658337705990185e-05, | |
| "loss": 0.168, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15528467297554016, | |
| "step": 2695, | |
| "valid_targets_mean": 2340.9, | |
| "valid_targets_min": 773 | |
| }, | |
| { | |
| "epoch": 4.507512520868113, | |
| "grad_norm": 0.6562872093825353, | |
| "learning_rate": 1.3579424448500901e-05, | |
| "loss": 0.1743, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15002676844596863, | |
| "step": 2700, | |
| "valid_targets_mean": 2793.1, | |
| "valid_targets_min": 1235 | |
| }, | |
| { | |
| "epoch": 4.515859766277129, | |
| "grad_norm": 0.7650079636026997, | |
| "learning_rate": 1.3500622476741142e-05, | |
| "loss": 0.1854, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16849973797798157, | |
| "step": 2705, | |
| "valid_targets_mean": 2170.2, | |
| "valid_targets_min": 664 | |
| }, | |
| { | |
| "epoch": 4.524207011686143, | |
| "grad_norm": 0.7868169395134512, | |
| "learning_rate": 1.3421933156559605e-05, | |
| "loss": 0.1949, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20308633148670197, | |
| "step": 2710, | |
| "valid_targets_mean": 2012.5, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 4.532554257095159, | |
| "grad_norm": 0.719956910883687, | |
| "learning_rate": 1.3343357851852488e-05, | |
| "loss": 0.1661, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16637387871742249, | |
| "step": 2715, | |
| "valid_targets_mean": 2267.7, | |
| "valid_targets_min": 701 | |
| }, | |
| { | |
| "epoch": 4.540901502504173, | |
| "grad_norm": 0.7415810532746423, | |
| "learning_rate": 1.3264897924539746e-05, | |
| "loss": 0.1868, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17491191625595093, | |
| "step": 2720, | |
| "valid_targets_mean": 2424.7, | |
| "valid_targets_min": 929 | |
| }, | |
| { | |
| "epoch": 4.549248747913189, | |
| "grad_norm": 0.6511631185388485, | |
| "learning_rate": 1.3186554734541574e-05, | |
| "loss": 0.1749, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15947668254375458, | |
| "step": 2725, | |
| "valid_targets_mean": 3068.3, | |
| "valid_targets_min": 751 | |
| }, | |
| { | |
| "epoch": 4.557595993322204, | |
| "grad_norm": 0.9227000808193508, | |
| "learning_rate": 1.3108329639754765e-05, | |
| "loss": 0.182, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22771112620830536, | |
| "step": 2730, | |
| "valid_targets_mean": 1952.8, | |
| "valid_targets_min": 914 | |
| }, | |
| { | |
| "epoch": 4.565943238731219, | |
| "grad_norm": 0.7927126744203515, | |
| "learning_rate": 1.3030223996029237e-05, | |
| "loss": 0.178, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17809253931045532, | |
| "step": 2735, | |
| "valid_targets_mean": 1970.2, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 4.574290484140234, | |
| "grad_norm": 0.777900031042274, | |
| "learning_rate": 1.295223915714447e-05, | |
| "loss": 0.1697, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14840282499790192, | |
| "step": 2740, | |
| "valid_targets_mean": 1710.5, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 4.582637729549249, | |
| "grad_norm": 0.6820773034629997, | |
| "learning_rate": 1.287437647478611e-05, | |
| "loss": 0.1655, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14310967922210693, | |
| "step": 2745, | |
| "valid_targets_mean": 2172.4, | |
| "valid_targets_min": 538 | |
| }, | |
| { | |
| "epoch": 4.590984974958264, | |
| "grad_norm": 0.6229884894007276, | |
| "learning_rate": 1.2796637298522466e-05, | |
| "loss": 0.1656, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1727065145969391, | |
| "step": 2750, | |
| "valid_targets_mean": 3028.1, | |
| "valid_targets_min": 529 | |
| }, | |
| { | |
| "epoch": 4.599332220367279, | |
| "grad_norm": 0.6038364194577132, | |
| "learning_rate": 1.271902297578119e-05, | |
| "loss": 0.1834, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21104693412780762, | |
| "step": 2755, | |
| "valid_targets_mean": 3364.7, | |
| "valid_targets_min": 390 | |
| }, | |
| { | |
| "epoch": 4.607679465776294, | |
| "grad_norm": 0.7964870049743236, | |
| "learning_rate": 1.2641534851825865e-05, | |
| "loss": 0.1901, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20962056517601013, | |
| "step": 2760, | |
| "valid_targets_mean": 2508.1, | |
| "valid_targets_min": 790 | |
| }, | |
| { | |
| "epoch": 4.616026711185309, | |
| "grad_norm": 0.7710656948800464, | |
| "learning_rate": 1.256417426973272e-05, | |
| "loss": 0.1783, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18509964644908905, | |
| "step": 2765, | |
| "valid_targets_mean": 2243.5, | |
| "valid_targets_min": 890 | |
| }, | |
| { | |
| "epoch": 4.624373956594324, | |
| "grad_norm": 0.6691420333793963, | |
| "learning_rate": 1.248694257036735e-05, | |
| "loss": 0.1727, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15404322743415833, | |
| "step": 2770, | |
| "valid_targets_mean": 3098.4, | |
| "valid_targets_min": 475 | |
| }, | |
| { | |
| "epoch": 4.632721202003339, | |
| "grad_norm": 0.591134878994522, | |
| "learning_rate": 1.2409841092361457e-05, | |
| "loss": 0.1855, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.198967844247818, | |
| "step": 2775, | |
| "valid_targets_mean": 3817.0, | |
| "valid_targets_min": 596 | |
| }, | |
| { | |
| "epoch": 4.641068447412354, | |
| "grad_norm": 0.9334250080452924, | |
| "learning_rate": 1.233287117208966e-05, | |
| "loss": 0.1765, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20634141564369202, | |
| "step": 2780, | |
| "valid_targets_mean": 1813.1, | |
| "valid_targets_min": 432 | |
| }, | |
| { | |
| "epoch": 4.649415692821369, | |
| "grad_norm": 0.6915514898540307, | |
| "learning_rate": 1.2256034143646341e-05, | |
| "loss": 0.1765, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16013593971729279, | |
| "step": 2785, | |
| "valid_targets_mean": 2534.8, | |
| "valid_targets_min": 520 | |
| }, | |
| { | |
| "epoch": 4.657762938230384, | |
| "grad_norm": 0.7690312846353624, | |
| "learning_rate": 1.2179331338822498e-05, | |
| "loss": 0.1656, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1510334312915802, | |
| "step": 2790, | |
| "valid_targets_mean": 2156.8, | |
| "valid_targets_min": 721 | |
| }, | |
| { | |
| "epoch": 4.666110183639399, | |
| "grad_norm": 0.7433903257586516, | |
| "learning_rate": 1.2102764087082685e-05, | |
| "loss": 0.1834, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17419683933258057, | |
| "step": 2795, | |
| "valid_targets_mean": 2088.9, | |
| "valid_targets_min": 759 | |
| }, | |
| { | |
| "epoch": 4.674457429048414, | |
| "grad_norm": 0.6461669663489145, | |
| "learning_rate": 1.2026333715541959e-05, | |
| "loss": 0.193, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1915496289730072, | |
| "step": 2800, | |
| "valid_targets_mean": 3340.2, | |
| "valid_targets_min": 1143 | |
| }, | |
| { | |
| "epoch": 4.682804674457429, | |
| "grad_norm": 0.6523177763616254, | |
| "learning_rate": 1.1950041548942867e-05, | |
| "loss": 0.168, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17690129578113556, | |
| "step": 2805, | |
| "valid_targets_mean": 2868.9, | |
| "valid_targets_min": 564 | |
| }, | |
| { | |
| "epoch": 4.691151919866444, | |
| "grad_norm": 0.7960511282080353, | |
| "learning_rate": 1.1873888909632508e-05, | |
| "loss": 0.1888, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1792602241039276, | |
| "step": 2810, | |
| "valid_targets_mean": 1824.0, | |
| "valid_targets_min": 563 | |
| }, | |
| { | |
| "epoch": 4.699499165275459, | |
| "grad_norm": 0.7893666566538475, | |
| "learning_rate": 1.1797877117539587e-05, | |
| "loss": 0.1997, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15375570952892303, | |
| "step": 2815, | |
| "valid_targets_mean": 1896.1, | |
| "valid_targets_min": 806 | |
| }, | |
| { | |
| "epoch": 4.707846410684474, | |
| "grad_norm": 0.8217007178733245, | |
| "learning_rate": 1.1722007490151566e-05, | |
| "loss": 0.1697, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.158712238073349, | |
| "step": 2820, | |
| "valid_targets_mean": 1936.1, | |
| "valid_targets_min": 965 | |
| }, | |
| { | |
| "epoch": 4.716193656093489, | |
| "grad_norm": 1.0827147315522407, | |
| "learning_rate": 1.16462813424918e-05, | |
| "loss": 0.1732, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16912072896957397, | |
| "step": 2825, | |
| "valid_targets_mean": 2437.0, | |
| "valid_targets_min": 662 | |
| }, | |
| { | |
| "epoch": 4.724540901502504, | |
| "grad_norm": 0.8424015476140527, | |
| "learning_rate": 1.1570699987096763e-05, | |
| "loss": 0.1884, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17218352854251862, | |
| "step": 2830, | |
| "valid_targets_mean": 1837.6, | |
| "valid_targets_min": 740 | |
| }, | |
| { | |
| "epoch": 4.732888146911519, | |
| "grad_norm": 0.6790398587079144, | |
| "learning_rate": 1.1495264733993288e-05, | |
| "loss": 0.1664, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15455222129821777, | |
| "step": 2835, | |
| "valid_targets_mean": 2666.3, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 4.741235392320534, | |
| "grad_norm": 0.854374154720206, | |
| "learning_rate": 1.141997689067587e-05, | |
| "loss": 0.1812, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17885088920593262, | |
| "step": 2840, | |
| "valid_targets_mean": 2102.4, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 4.749582637729549, | |
| "grad_norm": 0.7389911644705557, | |
| "learning_rate": 1.1344837762083997e-05, | |
| "loss": 0.1651, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1637381613254547, | |
| "step": 2845, | |
| "valid_targets_mean": 2150.2, | |
| "valid_targets_min": 1107 | |
| }, | |
| { | |
| "epoch": 4.757929883138564, | |
| "grad_norm": 0.7772270526448651, | |
| "learning_rate": 1.1269848650579532e-05, | |
| "loss": 0.1665, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1764950156211853, | |
| "step": 2850, | |
| "valid_targets_mean": 2228.4, | |
| "valid_targets_min": 840 | |
| }, | |
| { | |
| "epoch": 4.766277128547579, | |
| "grad_norm": 0.7629040715420716, | |
| "learning_rate": 1.1195010855924138e-05, | |
| "loss": 0.1851, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16333161294460297, | |
| "step": 2855, | |
| "valid_targets_mean": 2036.3, | |
| "valid_targets_min": 834 | |
| }, | |
| { | |
| "epoch": 4.774624373956595, | |
| "grad_norm": 0.8626015140881829, | |
| "learning_rate": 1.112032567525676e-05, | |
| "loss": 0.1909, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2554243505001068, | |
| "step": 2860, | |
| "valid_targets_mean": 2369.2, | |
| "valid_targets_min": 556 | |
| }, | |
| { | |
| "epoch": 4.782971619365609, | |
| "grad_norm": 0.8413855471638249, | |
| "learning_rate": 1.1045794403071133e-05, | |
| "loss": 0.1822, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16166135668754578, | |
| "step": 2865, | |
| "valid_targets_mean": 2081.1, | |
| "valid_targets_min": 742 | |
| }, | |
| { | |
| "epoch": 4.791318864774624, | |
| "grad_norm": 0.9377825257518903, | |
| "learning_rate": 1.0971418331193337e-05, | |
| "loss": 0.1665, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.176789790391922, | |
| "step": 2870, | |
| "valid_targets_mean": 1710.5, | |
| "valid_targets_min": 453 | |
| }, | |
| { | |
| "epoch": 4.799666110183639, | |
| "grad_norm": 0.7052539968758408, | |
| "learning_rate": 1.0897198748759435e-05, | |
| "loss": 0.1801, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1970149576663971, | |
| "step": 2875, | |
| "valid_targets_mean": 2905.1, | |
| "valid_targets_min": 572 | |
| }, | |
| { | |
| "epoch": 4.808013355592655, | |
| "grad_norm": 0.6944260382589246, | |
| "learning_rate": 1.0823136942193089e-05, | |
| "loss": 0.1953, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16842995584011078, | |
| "step": 2880, | |
| "valid_targets_mean": 2631.3, | |
| "valid_targets_min": 725 | |
| }, | |
| { | |
| "epoch": 4.816360601001669, | |
| "grad_norm": 0.7946388628378875, | |
| "learning_rate": 1.07492341951833e-05, | |
| "loss": 0.176, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18271085619926453, | |
| "step": 2885, | |
| "valid_targets_mean": 2143.5, | |
| "valid_targets_min": 578 | |
| }, | |
| { | |
| "epoch": 4.824707846410685, | |
| "grad_norm": 0.6553010955211231, | |
| "learning_rate": 1.0675491788662132e-05, | |
| "loss": 0.1958, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2044571042060852, | |
| "step": 2890, | |
| "valid_targets_mean": 2942.9, | |
| "valid_targets_min": 840 | |
| }, | |
| { | |
| "epoch": 4.833055091819699, | |
| "grad_norm": 0.7053451080860554, | |
| "learning_rate": 1.060191100078252e-05, | |
| "loss": 0.18, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1576908975839615, | |
| "step": 2895, | |
| "valid_targets_mean": 2508.3, | |
| "valid_targets_min": 632 | |
| }, | |
| { | |
| "epoch": 4.841402337228715, | |
| "grad_norm": 0.7479367517717694, | |
| "learning_rate": 1.0528493106896126e-05, | |
| "loss": 0.1782, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1778864860534668, | |
| "step": 2900, | |
| "valid_targets_mean": 2387.6, | |
| "valid_targets_min": 845 | |
| }, | |
| { | |
| "epoch": 4.849749582637729, | |
| "grad_norm": 0.7206203061881542, | |
| "learning_rate": 1.0455239379531213e-05, | |
| "loss": 0.1808, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17698757350444794, | |
| "step": 2905, | |
| "valid_targets_mean": 2898.8, | |
| "valid_targets_min": 922 | |
| }, | |
| { | |
| "epoch": 4.858096828046745, | |
| "grad_norm": 0.9036743866964919, | |
| "learning_rate": 1.0382151088370605e-05, | |
| "loss": 0.1886, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2069159746170044, | |
| "step": 2910, | |
| "valid_targets_mean": 1690.0, | |
| "valid_targets_min": 661 | |
| }, | |
| { | |
| "epoch": 4.866444073455759, | |
| "grad_norm": 0.769440780037667, | |
| "learning_rate": 1.0309229500229665e-05, | |
| "loss": 0.1723, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16133229434490204, | |
| "step": 2915, | |
| "valid_targets_mean": 1955.2, | |
| "valid_targets_min": 528 | |
| }, | |
| { | |
| "epoch": 4.874791318864775, | |
| "grad_norm": 0.7929474438600562, | |
| "learning_rate": 1.023647587903438e-05, | |
| "loss": 0.1828, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16340085864067078, | |
| "step": 2920, | |
| "valid_targets_mean": 1919.8, | |
| "valid_targets_min": 695 | |
| }, | |
| { | |
| "epoch": 4.883138564273789, | |
| "grad_norm": 0.9909614135494529, | |
| "learning_rate": 1.0163891485799362e-05, | |
| "loss": 0.184, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20314660668373108, | |
| "step": 2925, | |
| "valid_targets_mean": 2611.6, | |
| "valid_targets_min": 834 | |
| }, | |
| { | |
| "epoch": 4.891485809682805, | |
| "grad_norm": 0.7904652917571813, | |
| "learning_rate": 1.0091477578606121e-05, | |
| "loss": 0.1687, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20079383254051208, | |
| "step": 2930, | |
| "valid_targets_mean": 2121.3, | |
| "valid_targets_min": 991 | |
| }, | |
| { | |
| "epoch": 4.89983305509182, | |
| "grad_norm": 0.8061641761629065, | |
| "learning_rate": 1.0019235412581117e-05, | |
| "loss": 0.1812, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16205865144729614, | |
| "step": 2935, | |
| "valid_targets_mean": 2475.9, | |
| "valid_targets_min": 507 | |
| }, | |
| { | |
| "epoch": 4.908180300500835, | |
| "grad_norm": 0.7427989253983776, | |
| "learning_rate": 9.947166239874144e-06, | |
| "loss": 0.173, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15285256505012512, | |
| "step": 2940, | |
| "valid_targets_mean": 1979.8, | |
| "valid_targets_min": 501 | |
| }, | |
| { | |
| "epoch": 4.91652754590985, | |
| "grad_norm": 0.7206537775313828, | |
| "learning_rate": 9.875271309636498e-06, | |
| "loss": 0.1764, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17327359318733215, | |
| "step": 2945, | |
| "valid_targets_mean": 2575.5, | |
| "valid_targets_min": 731 | |
| }, | |
| { | |
| "epoch": 4.924874791318865, | |
| "grad_norm": 0.7962913580737736, | |
| "learning_rate": 9.803551867999445e-06, | |
| "loss": 0.2114, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18946567177772522, | |
| "step": 2950, | |
| "valid_targets_mean": 2189.0, | |
| "valid_targets_min": 441 | |
| }, | |
| { | |
| "epoch": 4.93322203672788, | |
| "grad_norm": 0.7413328590892105, | |
| "learning_rate": 9.732009158052508e-06, | |
| "loss": 0.1819, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1814548671245575, | |
| "step": 2955, | |
| "valid_targets_mean": 2174.3, | |
| "valid_targets_min": 1139 | |
| }, | |
| { | |
| "epoch": 4.941569282136895, | |
| "grad_norm": 0.9343196174855941, | |
| "learning_rate": 9.660644419822037e-06, | |
| "loss": 0.1966, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22384901344776154, | |
| "step": 2960, | |
| "valid_targets_mean": 1787.4, | |
| "valid_targets_min": 703 | |
| }, | |
| { | |
| "epoch": 4.94991652754591, | |
| "grad_norm": 0.7501622442184374, | |
| "learning_rate": 9.589458890249595e-06, | |
| "loss": 0.1975, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20376619696617126, | |
| "step": 2965, | |
| "valid_targets_mean": 2312.8, | |
| "valid_targets_min": 849 | |
| }, | |
| { | |
| "epoch": 4.958263772954925, | |
| "grad_norm": 0.7496144594045819, | |
| "learning_rate": 9.518453803170637e-06, | |
| "loss": 0.1846, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19321897625923157, | |
| "step": 2970, | |
| "valid_targets_mean": 2504.2, | |
| "valid_targets_min": 509 | |
| }, | |
| { | |
| "epoch": 4.96661101836394, | |
| "grad_norm": 0.7676352471740494, | |
| "learning_rate": 9.447630389293017e-06, | |
| "loss": 0.1931, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18893374502658844, | |
| "step": 2975, | |
| "valid_targets_mean": 2038.6, | |
| "valid_targets_min": 725 | |
| }, | |
| { | |
| "epoch": 4.974958263772955, | |
| "grad_norm": 0.7331032071687464, | |
| "learning_rate": 9.37698987617576e-06, | |
| "loss": 0.1887, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20503410696983337, | |
| "step": 2980, | |
| "valid_targets_mean": 2903.5, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 4.98330550918197, | |
| "grad_norm": 0.7328757864971213, | |
| "learning_rate": 9.306533488207671e-06, | |
| "loss": 0.1766, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19836439192295074, | |
| "step": 2985, | |
| "valid_targets_mean": 2694.4, | |
| "valid_targets_min": 825 | |
| }, | |
| { | |
| "epoch": 4.9916527545909855, | |
| "grad_norm": 0.6540351800954352, | |
| "learning_rate": 9.236262446586239e-06, | |
| "loss": 0.1892, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18135029077529907, | |
| "step": 2990, | |
| "valid_targets_mean": 3412.8, | |
| "valid_targets_min": 1251 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.7590428320185313, | |
| "learning_rate": 9.166177969296343e-06, | |
| "loss": 0.1865, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15430757403373718, | |
| "step": 2995, | |
| "valid_targets_mean": 1744.5, | |
| "valid_targets_min": 653 | |
| }, | |
| { | |
| "epoch": 5.008347245409015, | |
| "grad_norm": 0.7520309827518988, | |
| "learning_rate": 9.096281271089264e-06, | |
| "loss": 0.1798, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1860939860343933, | |
| "step": 3000, | |
| "valid_targets_mean": 2086.6, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 5.01669449081803, | |
| "grad_norm": 0.7450856605743555, | |
| "learning_rate": 9.02657356346151e-06, | |
| "loss": 0.149, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16095194220542908, | |
| "step": 3005, | |
| "valid_targets_mean": 2473.5, | |
| "valid_targets_min": 635 | |
| }, | |
| { | |
| "epoch": 5.025041736227045, | |
| "grad_norm": 0.8484840850461908, | |
| "learning_rate": 8.957056054633934e-06, | |
| "loss": 0.1486, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14853060245513916, | |
| "step": 3010, | |
| "valid_targets_mean": 2099.6, | |
| "valid_targets_min": 706 | |
| }, | |
| { | |
| "epoch": 5.03338898163606, | |
| "grad_norm": 0.7546355690002501, | |
| "learning_rate": 8.887729949530682e-06, | |
| "loss": 0.1482, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14556968212127686, | |
| "step": 3015, | |
| "valid_targets_mean": 2353.9, | |
| "valid_targets_min": 757 | |
| }, | |
| { | |
| "epoch": 5.041736227045075, | |
| "grad_norm": 0.7422805360013857, | |
| "learning_rate": 8.818596449758416e-06, | |
| "loss": 0.1647, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19636158645153046, | |
| "step": 3020, | |
| "valid_targets_mean": 3145.4, | |
| "valid_targets_min": 919 | |
| }, | |
| { | |
| "epoch": 5.05008347245409, | |
| "grad_norm": 0.918132548475914, | |
| "learning_rate": 8.749656753585379e-06, | |
| "loss": 0.1667, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17617198824882507, | |
| "step": 3025, | |
| "valid_targets_mean": 2369.6, | |
| "valid_targets_min": 1023 | |
| }, | |
| { | |
| "epoch": 5.058430717863105, | |
| "grad_norm": 0.6567541695583812, | |
| "learning_rate": 8.680912055920734e-06, | |
| "loss": 0.1549, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1814095377922058, | |
| "step": 3030, | |
| "valid_targets_mean": 3056.4, | |
| "valid_targets_min": 708 | |
| }, | |
| { | |
| "epoch": 5.06677796327212, | |
| "grad_norm": 0.7999183239590794, | |
| "learning_rate": 8.612363548293744e-06, | |
| "loss": 0.15, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14865170419216156, | |
| "step": 3035, | |
| "valid_targets_mean": 2286.2, | |
| "valid_targets_min": 663 | |
| }, | |
| { | |
| "epoch": 5.075125208681135, | |
| "grad_norm": 0.6773391507442554, | |
| "learning_rate": 8.54401241883322e-06, | |
| "loss": 0.1592, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1260058879852295, | |
| "step": 3040, | |
| "valid_targets_mean": 3038.4, | |
| "valid_targets_min": 1184 | |
| }, | |
| { | |
| "epoch": 5.08347245409015, | |
| "grad_norm": 0.719524406758551, | |
| "learning_rate": 8.475859852246854e-06, | |
| "loss": 0.1614, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16532570123672485, | |
| "step": 3045, | |
| "valid_targets_mean": 2690.9, | |
| "valid_targets_min": 578 | |
| }, | |
| { | |
| "epoch": 5.091819699499165, | |
| "grad_norm": 0.8971852588300996, | |
| "learning_rate": 8.407907029800732e-06, | |
| "loss": 0.1641, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16092701256275177, | |
| "step": 3050, | |
| "valid_targets_mean": 1821.4, | |
| "valid_targets_min": 825 | |
| }, | |
| { | |
| "epoch": 5.10016694490818, | |
| "grad_norm": 0.6078960948092229, | |
| "learning_rate": 8.340155129298824e-06, | |
| "loss": 0.1801, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.23741009831428528, | |
| "step": 3055, | |
| "valid_targets_mean": 4034.4, | |
| "valid_targets_min": 690 | |
| }, | |
| { | |
| "epoch": 5.108514190317195, | |
| "grad_norm": 0.7882414846730996, | |
| "learning_rate": 8.272605325062595e-06, | |
| "loss": 0.1596, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15722253918647766, | |
| "step": 3060, | |
| "valid_targets_mean": 2323.4, | |
| "valid_targets_min": 504 | |
| }, | |
| { | |
| "epoch": 5.116861435726211, | |
| "grad_norm": 0.9098279022892684, | |
| "learning_rate": 8.205258787910636e-06, | |
| "loss": 0.1521, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17256811261177063, | |
| "step": 3065, | |
| "valid_targets_mean": 2206.5, | |
| "valid_targets_min": 608 | |
| }, | |
| { | |
| "epoch": 5.125208681135225, | |
| "grad_norm": 0.7240707093959398, | |
| "learning_rate": 8.138116685138386e-06, | |
| "loss": 0.1588, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17344221472740173, | |
| "step": 3070, | |
| "valid_targets_mean": 2538.3, | |
| "valid_targets_min": 690 | |
| }, | |
| { | |
| "epoch": 5.133555926544241, | |
| "grad_norm": 0.7492785353099531, | |
| "learning_rate": 8.07118018049788e-06, | |
| "loss": 0.1438, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14222240447998047, | |
| "step": 3075, | |
| "valid_targets_mean": 2094.6, | |
| "valid_targets_min": 1074 | |
| }, | |
| { | |
| "epoch": 5.141903171953255, | |
| "grad_norm": 0.6687999817722378, | |
| "learning_rate": 8.00445043417759e-06, | |
| "loss": 0.1502, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12739010155200958, | |
| "step": 3080, | |
| "valid_targets_mean": 3014.4, | |
| "valid_targets_min": 960 | |
| }, | |
| { | |
| "epoch": 5.150250417362271, | |
| "grad_norm": 0.7476929157644402, | |
| "learning_rate": 7.93792860278232e-06, | |
| "loss": 0.1516, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13643479347229004, | |
| "step": 3085, | |
| "valid_targets_mean": 2542.9, | |
| "valid_targets_min": 918 | |
| }, | |
| { | |
| "epoch": 5.158597662771285, | |
| "grad_norm": 0.7050392143330814, | |
| "learning_rate": 7.871615839313147e-06, | |
| "loss": 0.1528, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13219505548477173, | |
| "step": 3090, | |
| "valid_targets_mean": 2729.2, | |
| "valid_targets_min": 686 | |
| }, | |
| { | |
| "epoch": 5.166944908180301, | |
| "grad_norm": 0.8051585606978793, | |
| "learning_rate": 7.805513293147441e-06, | |
| "loss": 0.1468, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13955295085906982, | |
| "step": 3095, | |
| "valid_targets_mean": 2180.2, | |
| "valid_targets_min": 628 | |
| }, | |
| { | |
| "epoch": 5.175292153589315, | |
| "grad_norm": 0.6502938338011637, | |
| "learning_rate": 7.739622110018951e-06, | |
| "loss": 0.1608, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16826727986335754, | |
| "step": 3100, | |
| "valid_targets_mean": 2908.3, | |
| "valid_targets_min": 787 | |
| }, | |
| { | |
| "epoch": 5.183639398998331, | |
| "grad_norm": 1.194021088514348, | |
| "learning_rate": 7.673943431997935e-06, | |
| "loss": 0.1797, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1977127492427826, | |
| "step": 3105, | |
| "valid_targets_mean": 1920.2, | |
| "valid_targets_min": 956 | |
| }, | |
| { | |
| "epoch": 5.191986644407345, | |
| "grad_norm": 0.667375141409639, | |
| "learning_rate": 7.608478397471366e-06, | |
| "loss": 0.1621, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2175963819026947, | |
| "step": 3110, | |
| "valid_targets_mean": 3179.4, | |
| "valid_targets_min": 947 | |
| }, | |
| { | |
| "epoch": 5.200333889816361, | |
| "grad_norm": 0.6177024661765164, | |
| "learning_rate": 7.543228141123217e-06, | |
| "loss": 0.1515, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1563173234462738, | |
| "step": 3115, | |
| "valid_targets_mean": 3358.5, | |
| "valid_targets_min": 855 | |
| }, | |
| { | |
| "epoch": 5.208681135225375, | |
| "grad_norm": 0.8206104171437563, | |
| "learning_rate": 7.478193793914767e-06, | |
| "loss": 0.1642, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17827922105789185, | |
| "step": 3120, | |
| "valid_targets_mean": 2144.1, | |
| "valid_targets_min": 1083 | |
| }, | |
| { | |
| "epoch": 5.217028380634391, | |
| "grad_norm": 0.6762054405691768, | |
| "learning_rate": 7.4133764830650246e-06, | |
| "loss": 0.149, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13363927602767944, | |
| "step": 3125, | |
| "valid_targets_mean": 2762.0, | |
| "valid_targets_min": 727 | |
| }, | |
| { | |
| "epoch": 5.225375626043405, | |
| "grad_norm": 0.791354259359337, | |
| "learning_rate": 7.348777332031168e-06, | |
| "loss": 0.1507, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14695990085601807, | |
| "step": 3130, | |
| "valid_targets_mean": 2506.4, | |
| "valid_targets_min": 703 | |
| }, | |
| { | |
| "epoch": 5.233722871452421, | |
| "grad_norm": 0.7300958398056937, | |
| "learning_rate": 7.28439746048909e-06, | |
| "loss": 0.171, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15373843908309937, | |
| "step": 3135, | |
| "valid_targets_mean": 3188.4, | |
| "valid_targets_min": 507 | |
| }, | |
| { | |
| "epoch": 5.242070116861436, | |
| "grad_norm": 0.7362890272757675, | |
| "learning_rate": 7.22023798431398e-06, | |
| "loss": 0.1441, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16128788888454437, | |
| "step": 3140, | |
| "valid_targets_mean": 2276.9, | |
| "valid_targets_min": 887 | |
| }, | |
| { | |
| "epoch": 5.250417362270451, | |
| "grad_norm": 0.8829952521688355, | |
| "learning_rate": 7.156300015560993e-06, | |
| "loss": 0.1669, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1735071986913681, | |
| "step": 3145, | |
| "valid_targets_mean": 2579.6, | |
| "valid_targets_min": 871 | |
| }, | |
| { | |
| "epoch": 5.258764607679466, | |
| "grad_norm": 0.7900174807469927, | |
| "learning_rate": 7.092584662445958e-06, | |
| "loss": 0.1526, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14157384634017944, | |
| "step": 3150, | |
| "valid_targets_mean": 2176.6, | |
| "valid_targets_min": 912 | |
| }, | |
| { | |
| "epoch": 5.267111853088481, | |
| "grad_norm": 0.9226995287050941, | |
| "learning_rate": 7.029093029326191e-06, | |
| "loss": 0.1705, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1748785674571991, | |
| "step": 3155, | |
| "valid_targets_mean": 1679.8, | |
| "valid_targets_min": 907 | |
| }, | |
| { | |
| "epoch": 5.275459098497496, | |
| "grad_norm": 0.8208375749055641, | |
| "learning_rate": 6.965826216681337e-06, | |
| "loss": 0.1577, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17080628871917725, | |
| "step": 3160, | |
| "valid_targets_mean": 2303.8, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 5.283806343906511, | |
| "grad_norm": 0.8303410171170952, | |
| "learning_rate": 6.902785321094301e-06, | |
| "loss": 0.1666, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15549474954605103, | |
| "step": 3165, | |
| "valid_targets_mean": 2127.9, | |
| "valid_targets_min": 637 | |
| }, | |
| { | |
| "epoch": 5.292153589315526, | |
| "grad_norm": 0.7116830217761911, | |
| "learning_rate": 6.8399714352322424e-06, | |
| "loss": 0.1655, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1497003734111786, | |
| "step": 3170, | |
| "valid_targets_mean": 3227.2, | |
| "valid_targets_min": 653 | |
| }, | |
| { | |
| "epoch": 5.300500834724541, | |
| "grad_norm": 0.7469096804819885, | |
| "learning_rate": 6.777385647827639e-06, | |
| "loss": 0.1488, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16166070103645325, | |
| "step": 3175, | |
| "valid_targets_mean": 2447.1, | |
| "valid_targets_min": 934 | |
| }, | |
| { | |
| "epoch": 5.308848080133556, | |
| "grad_norm": 0.6464577777865734, | |
| "learning_rate": 6.715029043659409e-06, | |
| "loss": 0.1485, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11982201039791107, | |
| "step": 3180, | |
| "valid_targets_mean": 2805.0, | |
| "valid_targets_min": 1081 | |
| }, | |
| { | |
| "epoch": 5.317195325542571, | |
| "grad_norm": 0.9053606512911229, | |
| "learning_rate": 6.652902703534114e-06, | |
| "loss": 0.159, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17174623906612396, | |
| "step": 3185, | |
| "valid_targets_mean": 2097.7, | |
| "valid_targets_min": 881 | |
| }, | |
| { | |
| "epoch": 5.325542570951586, | |
| "grad_norm": 0.890630614053283, | |
| "learning_rate": 6.5910077042672246e-06, | |
| "loss": 0.1605, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15030130743980408, | |
| "step": 3190, | |
| "valid_targets_mean": 1551.0, | |
| "valid_targets_min": 568 | |
| }, | |
| { | |
| "epoch": 5.333889816360601, | |
| "grad_norm": 0.7198405000575665, | |
| "learning_rate": 6.5293451186644566e-06, | |
| "loss": 0.1396, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16081032156944275, | |
| "step": 3195, | |
| "valid_targets_mean": 3201.9, | |
| "valid_targets_min": 924 | |
| }, | |
| { | |
| "epoch": 5.342237061769616, | |
| "grad_norm": 0.8286468409130533, | |
| "learning_rate": 6.467916015503173e-06, | |
| "loss": 0.1528, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15238681435585022, | |
| "step": 3200, | |
| "valid_targets_mean": 1958.5, | |
| "valid_targets_min": 966 | |
| }, | |
| { | |
| "epoch": 5.350584307178631, | |
| "grad_norm": 0.8352977703843605, | |
| "learning_rate": 6.406721459513865e-06, | |
| "loss": 0.1614, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15999573469161987, | |
| "step": 3205, | |
| "valid_targets_mean": 2182.2, | |
| "valid_targets_min": 884 | |
| }, | |
| { | |
| "epoch": 5.358931552587646, | |
| "grad_norm": 0.7536279467007496, | |
| "learning_rate": 6.3457625113616995e-06, | |
| "loss": 0.1783, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.26952141523361206, | |
| "step": 3210, | |
| "valid_targets_mean": 3350.1, | |
| "valid_targets_min": 1139 | |
| }, | |
| { | |
| "epoch": 5.367278797996661, | |
| "grad_norm": 0.8009881431527814, | |
| "learning_rate": 6.2850402276281184e-06, | |
| "loss": 0.1518, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1792518049478531, | |
| "step": 3215, | |
| "valid_targets_mean": 2610.6, | |
| "valid_targets_min": 1126 | |
| }, | |
| { | |
| "epoch": 5.375626043405676, | |
| "grad_norm": 0.8268963955933865, | |
| "learning_rate": 6.224555660792546e-06, | |
| "loss": 0.1474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14128682017326355, | |
| "step": 3220, | |
| "valid_targets_mean": 1785.2, | |
| "valid_targets_min": 967 | |
| }, | |
| { | |
| "epoch": 5.383973288814691, | |
| "grad_norm": 0.8578626786933801, | |
| "learning_rate": 6.164309859214135e-06, | |
| "loss": 0.1591, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16973763704299927, | |
| "step": 3225, | |
| "valid_targets_mean": 2057.1, | |
| "valid_targets_min": 854 | |
| }, | |
| { | |
| "epoch": 5.392320534223706, | |
| "grad_norm": 0.8833553458695893, | |
| "learning_rate": 6.104303867113599e-06, | |
| "loss": 0.1636, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18344926834106445, | |
| "step": 3230, | |
| "valid_targets_mean": 2609.9, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 5.400667779632721, | |
| "grad_norm": 0.9329249622574668, | |
| "learning_rate": 6.044538724555109e-06, | |
| "loss": 0.1696, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1783263087272644, | |
| "step": 3235, | |
| "valid_targets_mean": 1974.5, | |
| "valid_targets_min": 754 | |
| }, | |
| { | |
| "epoch": 5.409015025041736, | |
| "grad_norm": 0.7246943548888799, | |
| "learning_rate": 5.9850154674282766e-06, | |
| "loss": 0.1597, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21516211330890656, | |
| "step": 3240, | |
| "valid_targets_mean": 3427.4, | |
| "valid_targets_min": 603 | |
| }, | |
| { | |
| "epoch": 5.417362270450751, | |
| "grad_norm": 0.7088231725177259, | |
| "learning_rate": 5.925735127430186e-06, | |
| "loss": 0.1508, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13976027071475983, | |
| "step": 3245, | |
| "valid_targets_mean": 2651.9, | |
| "valid_targets_min": 906 | |
| }, | |
| { | |
| "epoch": 5.425709515859766, | |
| "grad_norm": 0.7196705764648943, | |
| "learning_rate": 5.866698732047522e-06, | |
| "loss": 0.1867, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17780493199825287, | |
| "step": 3250, | |
| "valid_targets_mean": 3137.8, | |
| "valid_targets_min": 820 | |
| }, | |
| { | |
| "epoch": 5.434056761268781, | |
| "grad_norm": 1.008081924375484, | |
| "learning_rate": 5.8079073045387555e-06, | |
| "loss": 0.1708, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16477034986019135, | |
| "step": 3255, | |
| "valid_targets_mean": 1668.0, | |
| "valid_targets_min": 738 | |
| }, | |
| { | |
| "epoch": 5.442404006677796, | |
| "grad_norm": 0.5624799181590624, | |
| "learning_rate": 5.7493618639164115e-06, | |
| "loss": 0.1687, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20196178555488586, | |
| "step": 3260, | |
| "valid_targets_mean": 3896.6, | |
| "valid_targets_min": 637 | |
| }, | |
| { | |
| "epoch": 5.450751252086811, | |
| "grad_norm": 0.8613753272442412, | |
| "learning_rate": 5.691063424929406e-06, | |
| "loss": 0.158, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1626051962375641, | |
| "step": 3265, | |
| "valid_targets_mean": 1722.1, | |
| "valid_targets_min": 677 | |
| }, | |
| { | |
| "epoch": 5.459098497495827, | |
| "grad_norm": 0.8179273751481095, | |
| "learning_rate": 5.633012998045451e-06, | |
| "loss": 0.1527, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17018984258174896, | |
| "step": 3270, | |
| "valid_targets_mean": 2636.1, | |
| "valid_targets_min": 433 | |
| }, | |
| { | |
| "epoch": 5.467445742904841, | |
| "grad_norm": 0.7311272409154818, | |
| "learning_rate": 5.575211589433554e-06, | |
| "loss": 0.1513, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15486940741539001, | |
| "step": 3275, | |
| "valid_targets_mean": 2879.6, | |
| "valid_targets_min": 1016 | |
| }, | |
| { | |
| "epoch": 5.475792988313857, | |
| "grad_norm": 0.8351281020533409, | |
| "learning_rate": 5.517660200946562e-06, | |
| "loss": 0.1492, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16601449251174927, | |
| "step": 3280, | |
| "valid_targets_mean": 2243.8, | |
| "valid_targets_min": 705 | |
| }, | |
| { | |
| "epoch": 5.484140233722871, | |
| "grad_norm": 0.7764436479802024, | |
| "learning_rate": 5.4603598301038145e-06, | |
| "loss": 0.1417, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13754409551620483, | |
| "step": 3285, | |
| "valid_targets_mean": 2506.4, | |
| "valid_targets_min": 941 | |
| }, | |
| { | |
| "epoch": 5.492487479131887, | |
| "grad_norm": 0.7465683826971206, | |
| "learning_rate": 5.4033114700738375e-06, | |
| "loss": 0.1498, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13822892308235168, | |
| "step": 3290, | |
| "valid_targets_mean": 2512.8, | |
| "valid_targets_min": 799 | |
| }, | |
| { | |
| "epoch": 5.500834724540901, | |
| "grad_norm": 0.7669762719839254, | |
| "learning_rate": 5.346516109657136e-06, | |
| "loss": 0.1585, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1455293893814087, | |
| "step": 3295, | |
| "valid_targets_mean": 2365.6, | |
| "valid_targets_min": 750 | |
| }, | |
| { | |
| "epoch": 5.509181969949917, | |
| "grad_norm": 0.6820821328169009, | |
| "learning_rate": 5.289974733269063e-06, | |
| "loss": 0.1596, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14104554057121277, | |
| "step": 3300, | |
| "valid_targets_mean": 3066.8, | |
| "valid_targets_min": 855 | |
| }, | |
| { | |
| "epoch": 5.517529215358931, | |
| "grad_norm": 0.6275599910230133, | |
| "learning_rate": 5.233688320922741e-06, | |
| "loss": 0.1484, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1358412504196167, | |
| "step": 3305, | |
| "valid_targets_mean": 3737.1, | |
| "valid_targets_min": 929 | |
| }, | |
| { | |
| "epoch": 5.525876460767947, | |
| "grad_norm": 0.7641761073708837, | |
| "learning_rate": 5.177657848212092e-06, | |
| "loss": 0.1734, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16747067868709564, | |
| "step": 3310, | |
| "valid_targets_mean": 3085.7, | |
| "valid_targets_min": 1041 | |
| }, | |
| { | |
| "epoch": 5.534223706176961, | |
| "grad_norm": 0.7914093785803261, | |
| "learning_rate": 5.1218842862949115e-06, | |
| "loss": 0.1521, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1578901708126068, | |
| "step": 3315, | |
| "valid_targets_mean": 2408.4, | |
| "valid_targets_min": 1051 | |
| }, | |
| { | |
| "epoch": 5.542570951585977, | |
| "grad_norm": 0.7118185476620853, | |
| "learning_rate": 5.066368601876048e-06, | |
| "loss": 0.177, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.20359279215335846, | |
| "step": 3320, | |
| "valid_targets_mean": 2890.9, | |
| "valid_targets_min": 612 | |
| }, | |
| { | |
| "epoch": 5.550918196994992, | |
| "grad_norm": 0.7687370906920561, | |
| "learning_rate": 5.011111757190661e-06, | |
| "loss": 0.1525, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18415136635303497, | |
| "step": 3325, | |
| "valid_targets_mean": 2670.1, | |
| "valid_targets_min": 971 | |
| }, | |
| { | |
| "epoch": 5.559265442404007, | |
| "grad_norm": 0.8552425365257644, | |
| "learning_rate": 4.956114709987488e-06, | |
| "loss": 0.1604, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16587582230567932, | |
| "step": 3330, | |
| "valid_targets_mean": 2253.2, | |
| "valid_targets_min": 1069 | |
| }, | |
| { | |
| "epoch": 5.567612687813021, | |
| "grad_norm": 0.8136795110704207, | |
| "learning_rate": 4.901378413512325e-06, | |
| "loss": 0.1706, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17664243280887604, | |
| "step": 3335, | |
| "valid_targets_mean": 2525.9, | |
| "valid_targets_min": 482 | |
| }, | |
| { | |
| "epoch": 5.575959933222037, | |
| "grad_norm": 0.7657322803911494, | |
| "learning_rate": 4.846903816491419e-06, | |
| "loss": 0.1451, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1563817262649536, | |
| "step": 3340, | |
| "valid_targets_mean": 2847.3, | |
| "valid_targets_min": 1094 | |
| }, | |
| { | |
| "epoch": 5.584307178631052, | |
| "grad_norm": 0.8733061315249282, | |
| "learning_rate": 4.792691863115113e-06, | |
| "loss": 0.1813, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17923319339752197, | |
| "step": 3345, | |
| "valid_targets_mean": 1898.2, | |
| "valid_targets_min": 847 | |
| }, | |
| { | |
| "epoch": 5.592654424040067, | |
| "grad_norm": 0.67940653982166, | |
| "learning_rate": 4.738743493021383e-06, | |
| "loss": 0.164, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1424332708120346, | |
| "step": 3350, | |
| "valid_targets_mean": 2634.2, | |
| "valid_targets_min": 801 | |
| }, | |
| { | |
| "epoch": 5.601001669449082, | |
| "grad_norm": 0.8828332955807119, | |
| "learning_rate": 4.68505964127965e-06, | |
| "loss": 0.1644, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17155790328979492, | |
| "step": 3355, | |
| "valid_targets_mean": 2005.6, | |
| "valid_targets_min": 538 | |
| }, | |
| { | |
| "epoch": 5.609348914858097, | |
| "grad_norm": 0.6796336949437728, | |
| "learning_rate": 4.631641238374482e-06, | |
| "loss": 0.1617, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16817662119865417, | |
| "step": 3360, | |
| "valid_targets_mean": 3273.6, | |
| "valid_targets_min": 835 | |
| }, | |
| { | |
| "epoch": 5.617696160267112, | |
| "grad_norm": 0.6784010851999314, | |
| "learning_rate": 4.578489210189554e-06, | |
| "loss": 0.1489, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11624115705490112, | |
| "step": 3365, | |
| "valid_targets_mean": 2313.6, | |
| "valid_targets_min": 978 | |
| }, | |
| { | |
| "epoch": 5.626043405676127, | |
| "grad_norm": 0.7143366967890289, | |
| "learning_rate": 4.525604477991505e-06, | |
| "loss": 0.17, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13993963599205017, | |
| "step": 3370, | |
| "valid_targets_mean": 2707.2, | |
| "valid_targets_min": 301 | |
| }, | |
| { | |
| "epoch": 5.634390651085142, | |
| "grad_norm": 0.8720061547761272, | |
| "learning_rate": 4.472987958414077e-06, | |
| "loss": 0.1789, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21348363161087036, | |
| "step": 3375, | |
| "valid_targets_mean": 2037.7, | |
| "valid_targets_min": 715 | |
| }, | |
| { | |
| "epoch": 5.642737896494157, | |
| "grad_norm": 1.0475625543897096, | |
| "learning_rate": 4.420640563442111e-06, | |
| "loss": 0.1468, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14963243901729584, | |
| "step": 3380, | |
| "valid_targets_mean": 2477.6, | |
| "valid_targets_min": 712 | |
| }, | |
| { | |
| "epoch": 5.651085141903172, | |
| "grad_norm": 0.8107519973170887, | |
| "learning_rate": 4.368563200395859e-06, | |
| "loss": 0.1622, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1464444398880005, | |
| "step": 3385, | |
| "valid_targets_mean": 1847.6, | |
| "valid_targets_min": 573 | |
| }, | |
| { | |
| "epoch": 5.659432387312187, | |
| "grad_norm": 0.8581055639161416, | |
| "learning_rate": 4.31675677191514e-06, | |
| "loss": 0.1602, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16239197552204132, | |
| "step": 3390, | |
| "valid_targets_mean": 2123.2, | |
| "valid_targets_min": 834 | |
| }, | |
| { | |
| "epoch": 5.667779632721202, | |
| "grad_norm": 0.941010389190145, | |
| "learning_rate": 4.265222175943808e-06, | |
| "loss": 0.1764, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.22993087768554688, | |
| "step": 3395, | |
| "valid_targets_mean": 2226.4, | |
| "valid_targets_min": 632 | |
| }, | |
| { | |
| "epoch": 5.676126878130217, | |
| "grad_norm": 0.7743509613880359, | |
| "learning_rate": 4.213960305714082e-06, | |
| "loss": 0.1651, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16907739639282227, | |
| "step": 3400, | |
| "valid_targets_mean": 2501.2, | |
| "valid_targets_min": 449 | |
| }, | |
| { | |
| "epoch": 5.684474123539232, | |
| "grad_norm": 0.8429009936208021, | |
| "learning_rate": 4.162972049731164e-06, | |
| "loss": 0.1563, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15070652961730957, | |
| "step": 3405, | |
| "valid_targets_mean": 2058.0, | |
| "valid_targets_min": 857 | |
| }, | |
| { | |
| "epoch": 5.692821368948247, | |
| "grad_norm": 0.8554399683453996, | |
| "learning_rate": 4.112258291757747e-06, | |
| "loss": 0.1547, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.18287883698940277, | |
| "step": 3410, | |
| "valid_targets_mean": 2382.9, | |
| "valid_targets_min": 872 | |
| }, | |
| { | |
| "epoch": 5.701168614357262, | |
| "grad_norm": 0.8566823129381648, | |
| "learning_rate": 4.061819910798777e-06, | |
| "loss": 0.1583, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17844383418560028, | |
| "step": 3415, | |
| "valid_targets_mean": 2137.6, | |
| "valid_targets_min": 705 | |
| }, | |
| { | |
| "epoch": 5.709515859766277, | |
| "grad_norm": 0.9097702275635593, | |
| "learning_rate": 4.01165778108614e-06, | |
| "loss": 0.1493, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16221177577972412, | |
| "step": 3420, | |
| "valid_targets_mean": 2094.6, | |
| "valid_targets_min": 614 | |
| }, | |
| { | |
| "epoch": 5.717863105175292, | |
| "grad_norm": 0.7036808144814012, | |
| "learning_rate": 3.961772772063599e-06, | |
| "loss": 0.1706, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17053760588169098, | |
| "step": 3425, | |
| "valid_targets_mean": 2376.1, | |
| "valid_targets_min": 1027 | |
| }, | |
| { | |
| "epoch": 5.726210350584307, | |
| "grad_norm": 0.7590311318391576, | |
| "learning_rate": 3.912165748371626e-06, | |
| "loss": 0.1596, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16006188094615936, | |
| "step": 3430, | |
| "valid_targets_mean": 2836.8, | |
| "valid_targets_min": 661 | |
| }, | |
| { | |
| "epoch": 5.734557595993322, | |
| "grad_norm": 0.9299011851422595, | |
| "learning_rate": 3.8628375698325045e-06, | |
| "loss": 0.1589, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1849474459886551, | |
| "step": 3435, | |
| "valid_targets_mean": 1898.8, | |
| "valid_targets_min": 680 | |
| }, | |
| { | |
| "epoch": 5.742904841402337, | |
| "grad_norm": 0.7986437795279827, | |
| "learning_rate": 3.8137890914353535e-06, | |
| "loss": 0.1618, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16792498528957367, | |
| "step": 3440, | |
| "valid_targets_mean": 2337.0, | |
| "valid_targets_min": 617 | |
| }, | |
| { | |
| "epoch": 5.751252086811352, | |
| "grad_norm": 0.6722159467229356, | |
| "learning_rate": 3.765021163321374e-06, | |
| "loss": 0.1508, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12963595986366272, | |
| "step": 3445, | |
| "valid_targets_mean": 2810.4, | |
| "valid_targets_min": 778 | |
| }, | |
| { | |
| "epoch": 5.759599332220367, | |
| "grad_norm": 0.7946305155772581, | |
| "learning_rate": 3.7165346307690466e-06, | |
| "loss": 0.169, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15621204674243927, | |
| "step": 3450, | |
| "valid_targets_mean": 2033.2, | |
| "valid_targets_min": 1111 | |
| }, | |
| { | |
| "epoch": 5.767946577629383, | |
| "grad_norm": 0.7643828837602218, | |
| "learning_rate": 3.6683303341795483e-06, | |
| "loss": 0.1737, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14357686042785645, | |
| "step": 3455, | |
| "valid_targets_mean": 2984.0, | |
| "valid_targets_min": 905 | |
| }, | |
| { | |
| "epoch": 5.776293823038397, | |
| "grad_norm": 1.0355495916054631, | |
| "learning_rate": 3.6204091090621176e-06, | |
| "loss": 0.159, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16833853721618652, | |
| "step": 3460, | |
| "valid_targets_mean": 1626.7, | |
| "valid_targets_min": 970 | |
| }, | |
| { | |
| "epoch": 5.784641068447412, | |
| "grad_norm": 0.7378784553327359, | |
| "learning_rate": 3.572771786019649e-06, | |
| "loss": 0.1719, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.142981618642807, | |
| "step": 3465, | |
| "valid_targets_mean": 2791.6, | |
| "valid_targets_min": 711 | |
| }, | |
| { | |
| "epoch": 5.792988313856427, | |
| "grad_norm": 0.6602657193448223, | |
| "learning_rate": 3.5254191907342117e-06, | |
| "loss": 0.1464, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14098285138607025, | |
| "step": 3470, | |
| "valid_targets_mean": 2716.7, | |
| "valid_targets_min": 632 | |
| }, | |
| { | |
| "epoch": 5.801335559265443, | |
| "grad_norm": 0.7778140268165555, | |
| "learning_rate": 3.4783521439528233e-06, | |
| "loss": 0.1599, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15775492787361145, | |
| "step": 3475, | |
| "valid_targets_mean": 2488.4, | |
| "valid_targets_min": 1012 | |
| }, | |
| { | |
| "epoch": 5.809682804674457, | |
| "grad_norm": 0.8527334984195997, | |
| "learning_rate": 3.4315714614731467e-06, | |
| "loss": 0.1769, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15102088451385498, | |
| "step": 3480, | |
| "valid_targets_mean": 2576.1, | |
| "valid_targets_min": 1006 | |
| }, | |
| { | |
| "epoch": 5.818030050083473, | |
| "grad_norm": 0.7483617870763603, | |
| "learning_rate": 3.385077954129421e-06, | |
| "loss": 0.1617, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16600114107131958, | |
| "step": 3485, | |
| "valid_targets_mean": 2965.2, | |
| "valid_targets_min": 1004 | |
| }, | |
| { | |
| "epoch": 5.826377295492487, | |
| "grad_norm": 0.7226573146652634, | |
| "learning_rate": 3.3388724277783347e-06, | |
| "loss": 0.1708, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14855024218559265, | |
| "step": 3490, | |
| "valid_targets_mean": 2656.9, | |
| "valid_targets_min": 564 | |
| }, | |
| { | |
| "epoch": 5.834724540901503, | |
| "grad_norm": 0.8221857990345114, | |
| "learning_rate": 3.292955683285135e-06, | |
| "loss": 0.1665, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1467684954404831, | |
| "step": 3495, | |
| "valid_targets_mean": 2082.8, | |
| "valid_targets_min": 522 | |
| }, | |
| { | |
| "epoch": 5.843071786310517, | |
| "grad_norm": 0.7230569578324877, | |
| "learning_rate": 3.2473285165096736e-06, | |
| "loss": 0.1564, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13656604290008545, | |
| "step": 3500, | |
| "valid_targets_mean": 2686.7, | |
| "valid_targets_min": 1037 | |
| }, | |
| { | |
| "epoch": 5.851419031719533, | |
| "grad_norm": 0.8536959044999787, | |
| "learning_rate": 3.2019917182926806e-06, | |
| "loss": 0.1581, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17382332682609558, | |
| "step": 3505, | |
| "valid_targets_mean": 2264.3, | |
| "valid_targets_min": 988 | |
| }, | |
| { | |
| "epoch": 5.859766277128547, | |
| "grad_norm": 0.7157632815807343, | |
| "learning_rate": 3.156946074441982e-06, | |
| "loss": 0.1523, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14807337522506714, | |
| "step": 3510, | |
| "valid_targets_mean": 2657.1, | |
| "valid_targets_min": 845 | |
| }, | |
| { | |
| "epoch": 5.868113522537563, | |
| "grad_norm": 0.8308098852803112, | |
| "learning_rate": 3.112192365718969e-06, | |
| "loss": 0.1724, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15952430665493011, | |
| "step": 3515, | |
| "valid_targets_mean": 1952.7, | |
| "valid_targets_min": 679 | |
| }, | |
| { | |
| "epoch": 5.876460767946577, | |
| "grad_norm": 0.7216238687251982, | |
| "learning_rate": 3.067731367824969e-06, | |
| "loss": 0.1436, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13213233649730682, | |
| "step": 3520, | |
| "valid_targets_mean": 2498.2, | |
| "valid_targets_min": 909 | |
| }, | |
| { | |
| "epoch": 5.884808013355593, | |
| "grad_norm": 0.7580182328273992, | |
| "learning_rate": 3.023563851387885e-06, | |
| "loss": 0.171, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.2006535828113556, | |
| "step": 3525, | |
| "valid_targets_mean": 2834.3, | |
| "valid_targets_min": 942 | |
| }, | |
| { | |
| "epoch": 5.893155258764608, | |
| "grad_norm": 0.743791785946315, | |
| "learning_rate": 2.979690581948784e-06, | |
| "loss": 0.1474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1370251327753067, | |
| "step": 3530, | |
| "valid_targets_mean": 2285.6, | |
| "valid_targets_min": 456 | |
| }, | |
| { | |
| "epoch": 5.901502504173623, | |
| "grad_norm": 0.7574771577324715, | |
| "learning_rate": 2.936112319948654e-06, | |
| "loss": 0.176, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19993768632411957, | |
| "step": 3535, | |
| "valid_targets_mean": 2802.4, | |
| "valid_targets_min": 949 | |
| }, | |
| { | |
| "epoch": 5.909849749582638, | |
| "grad_norm": 0.7799138270228428, | |
| "learning_rate": 2.892829820715208e-06, | |
| "loss": 0.1605, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13004331290721893, | |
| "step": 3540, | |
| "valid_targets_mean": 3011.4, | |
| "valid_targets_min": 733 | |
| }, | |
| { | |
| "epoch": 5.918196994991653, | |
| "grad_norm": 0.6122912119902282, | |
| "learning_rate": 2.8498438344498103e-06, | |
| "loss": 0.1568, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1826564073562622, | |
| "step": 3545, | |
| "valid_targets_mean": 3161.0, | |
| "valid_targets_min": 769 | |
| }, | |
| { | |
| "epoch": 5.926544240400668, | |
| "grad_norm": 1.3873463159619706, | |
| "learning_rate": 2.8071551062144518e-06, | |
| "loss": 0.1749, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14959605038166046, | |
| "step": 3550, | |
| "valid_targets_mean": 2140.4, | |
| "valid_targets_min": 945 | |
| }, | |
| { | |
| "epoch": 5.934891485809683, | |
| "grad_norm": 0.8162427514148738, | |
| "learning_rate": 2.7647643759188557e-06, | |
| "loss": 0.1592, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15046297013759613, | |
| "step": 3555, | |
| "valid_targets_mean": 2093.9, | |
| "valid_targets_min": 465 | |
| }, | |
| { | |
| "epoch": 5.943238731218698, | |
| "grad_norm": 0.7958101696195098, | |
| "learning_rate": 2.7226723783076447e-06, | |
| "loss": 0.1912, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16588354110717773, | |
| "step": 3560, | |
| "valid_targets_mean": 2123.1, | |
| "valid_targets_min": 874 | |
| }, | |
| { | |
| "epoch": 5.951585976627713, | |
| "grad_norm": 1.0098598781474784, | |
| "learning_rate": 2.680879842947601e-06, | |
| "loss": 0.1628, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16657009720802307, | |
| "step": 3565, | |
| "valid_targets_mean": 2168.7, | |
| "valid_targets_min": 817 | |
| }, | |
| { | |
| "epoch": 5.959933222036728, | |
| "grad_norm": 0.7515188412881856, | |
| "learning_rate": 2.6393874942150268e-06, | |
| "loss": 0.1544, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15513961017131805, | |
| "step": 3570, | |
| "valid_targets_mean": 2491.9, | |
| "valid_targets_min": 1224 | |
| }, | |
| { | |
| "epoch": 5.968280467445743, | |
| "grad_norm": 0.8227134907596251, | |
| "learning_rate": 2.598196051283193e-06, | |
| "loss": 0.1714, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13640505075454712, | |
| "step": 3575, | |
| "valid_targets_mean": 1789.6, | |
| "valid_targets_min": 745 | |
| }, | |
| { | |
| "epoch": 5.976627712854758, | |
| "grad_norm": 0.8497855391751271, | |
| "learning_rate": 2.5573062281098638e-06, | |
| "loss": 0.1457, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11205454170703888, | |
| "step": 3580, | |
| "valid_targets_mean": 2565.0, | |
| "valid_targets_min": 638 | |
| }, | |
| { | |
| "epoch": 5.984974958263773, | |
| "grad_norm": 0.678370649033699, | |
| "learning_rate": 2.5167187334249277e-06, | |
| "loss": 0.1465, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13231565058231354, | |
| "step": 3585, | |
| "valid_targets_mean": 3191.2, | |
| "valid_targets_min": 697 | |
| }, | |
| { | |
| "epoch": 5.993322203672788, | |
| "grad_norm": 0.7422066388381311, | |
| "learning_rate": 2.4764342707181155e-06, | |
| "loss": 0.1538, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16047775745391846, | |
| "step": 3590, | |
| "valid_targets_mean": 2584.1, | |
| "valid_targets_min": 604 | |
| }, | |
| { | |
| "epoch": 6.001669449081803, | |
| "grad_norm": 0.8851835075199939, | |
| "learning_rate": 2.4364535382268017e-06, | |
| "loss": 0.1598, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14996086061000824, | |
| "step": 3595, | |
| "valid_targets_mean": 1559.1, | |
| "valid_targets_min": 533 | |
| }, | |
| { | |
| "epoch": 6.010016694490818, | |
| "grad_norm": 0.68295567119716, | |
| "learning_rate": 2.3967772289239055e-06, | |
| "loss": 0.1425, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13082125782966614, | |
| "step": 3600, | |
| "valid_targets_mean": 2628.2, | |
| "valid_targets_min": 736 | |
| }, | |
| { | |
| "epoch": 6.018363939899833, | |
| "grad_norm": 0.8919501944293605, | |
| "learning_rate": 2.357406030505878e-06, | |
| "loss": 0.148, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17399922013282776, | |
| "step": 3605, | |
| "valid_targets_mean": 1760.0, | |
| "valid_targets_min": 795 | |
| }, | |
| { | |
| "epoch": 6.026711185308848, | |
| "grad_norm": 0.8563823633600588, | |
| "learning_rate": 2.318340625380786e-06, | |
| "loss": 0.1451, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13941307365894318, | |
| "step": 3610, | |
| "valid_targets_mean": 1836.8, | |
| "valid_targets_min": 779 | |
| }, | |
| { | |
| "epoch": 6.035058430717863, | |
| "grad_norm": 0.8400990084985073, | |
| "learning_rate": 2.279581690656476e-06, | |
| "loss": 0.1548, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16140100359916687, | |
| "step": 3615, | |
| "valid_targets_mean": 2342.7, | |
| "valid_targets_min": 816 | |
| }, | |
| { | |
| "epoch": 6.043405676126878, | |
| "grad_norm": 0.7106127667503332, | |
| "learning_rate": 2.241129898128851e-06, | |
| "loss": 0.1458, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13049355149269104, | |
| "step": 3620, | |
| "valid_targets_mean": 2636.1, | |
| "valid_targets_min": 1002 | |
| }, | |
| { | |
| "epoch": 6.051752921535893, | |
| "grad_norm": 0.8818391008759068, | |
| "learning_rate": 2.202985914270215e-06, | |
| "loss": 0.159, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1488562822341919, | |
| "step": 3625, | |
| "valid_targets_mean": 1675.2, | |
| "valid_targets_min": 766 | |
| }, | |
| { | |
| "epoch": 6.060100166944908, | |
| "grad_norm": 0.7882238670237989, | |
| "learning_rate": 2.1651504002177236e-06, | |
| "loss": 0.1615, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1578988879919052, | |
| "step": 3630, | |
| "valid_targets_mean": 2249.3, | |
| "valid_targets_min": 459 | |
| }, | |
| { | |
| "epoch": 6.068447412353923, | |
| "grad_norm": 0.8515864149791522, | |
| "learning_rate": 2.1276240117619283e-06, | |
| "loss": 0.1525, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16811984777450562, | |
| "step": 3635, | |
| "valid_targets_mean": 2181.1, | |
| "valid_targets_min": 853 | |
| }, | |
| { | |
| "epoch": 6.076794657762938, | |
| "grad_norm": 0.6823858985105556, | |
| "learning_rate": 2.09040739933541e-06, | |
| "loss": 0.1574, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15278483927249908, | |
| "step": 3640, | |
| "valid_targets_mean": 3562.9, | |
| "valid_targets_min": 889 | |
| }, | |
| { | |
| "epoch": 6.085141903171953, | |
| "grad_norm": 0.8708022073895972, | |
| "learning_rate": 2.0535012080015006e-06, | |
| "loss": 0.1455, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15357419848442078, | |
| "step": 3645, | |
| "valid_targets_mean": 1788.9, | |
| "valid_targets_min": 753 | |
| }, | |
| { | |
| "epoch": 6.093489148580968, | |
| "grad_norm": 0.7107614264087305, | |
| "learning_rate": 2.016906077443106e-06, | |
| "loss": 0.1534, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1238049566745758, | |
| "step": 3650, | |
| "valid_targets_mean": 2667.8, | |
| "valid_targets_min": 748 | |
| }, | |
| { | |
| "epoch": 6.101836393989983, | |
| "grad_norm": 0.7206179548098023, | |
| "learning_rate": 1.9806226419516195e-06, | |
| "loss": 0.1316, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13964733481407166, | |
| "step": 3655, | |
| "valid_targets_mean": 2906.7, | |
| "valid_targets_min": 1120 | |
| }, | |
| { | |
| "epoch": 6.110183639398999, | |
| "grad_norm": 0.6654522787131666, | |
| "learning_rate": 1.9446515304159198e-06, | |
| "loss": 0.1767, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19255736470222473, | |
| "step": 3660, | |
| "valid_targets_mean": 3062.2, | |
| "valid_targets_min": 838 | |
| }, | |
| { | |
| "epoch": 6.118530884808013, | |
| "grad_norm": 0.6139051527372493, | |
| "learning_rate": 1.9089933663114868e-06, | |
| "loss": 0.1432, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1455802321434021, | |
| "step": 3665, | |
| "valid_targets_mean": 3733.2, | |
| "valid_targets_min": 873 | |
| }, | |
| { | |
| "epoch": 6.126878130217029, | |
| "grad_norm": 0.8954177229974751, | |
| "learning_rate": 1.8736487676895754e-06, | |
| "loss": 0.1445, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16447719931602478, | |
| "step": 3670, | |
| "valid_targets_mean": 1722.4, | |
| "valid_targets_min": 584 | |
| }, | |
| { | |
| "epoch": 6.135225375626043, | |
| "grad_norm": 0.7889736850432763, | |
| "learning_rate": 1.8386183471665187e-06, | |
| "loss": 0.1446, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15405014157295227, | |
| "step": 3675, | |
| "valid_targets_mean": 2179.7, | |
| "valid_targets_min": 754 | |
| }, | |
| { | |
| "epoch": 6.143572621035059, | |
| "grad_norm": 0.716510609638258, | |
| "learning_rate": 1.8039027119131057e-06, | |
| "loss": 0.1646, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14177146553993225, | |
| "step": 3680, | |
| "valid_targets_mean": 2999.8, | |
| "valid_targets_min": 700 | |
| }, | |
| { | |
| "epoch": 6.151919866444073, | |
| "grad_norm": 0.8500395901113726, | |
| "learning_rate": 1.7695024636440484e-06, | |
| "loss": 0.1641, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1698373705148697, | |
| "step": 3685, | |
| "valid_targets_mean": 2100.7, | |
| "valid_targets_min": 800 | |
| }, | |
| { | |
| "epoch": 6.160267111853089, | |
| "grad_norm": 0.7370702493584649, | |
| "learning_rate": 1.7354181986075635e-06, | |
| "loss": 0.1628, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1334153264760971, | |
| "step": 3690, | |
| "valid_targets_mean": 2306.4, | |
| "valid_targets_min": 797 | |
| }, | |
| { | |
| "epoch": 6.168614357262103, | |
| "grad_norm": 0.930381567032839, | |
| "learning_rate": 1.701650507575039e-06, | |
| "loss": 0.1589, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17851126194000244, | |
| "step": 3695, | |
| "valid_targets_mean": 1861.8, | |
| "valid_targets_min": 934 | |
| }, | |
| { | |
| "epoch": 6.176961602671119, | |
| "grad_norm": 0.7905236539808159, | |
| "learning_rate": 1.6681999758307799e-06, | |
| "loss": 0.1545, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14857222139835358, | |
| "step": 3700, | |
| "valid_targets_mean": 2295.4, | |
| "valid_targets_min": 921 | |
| }, | |
| { | |
| "epoch": 6.185308848080133, | |
| "grad_norm": 1.1994597822098416, | |
| "learning_rate": 1.6350671831618804e-06, | |
| "loss": 0.148, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15778902173042297, | |
| "step": 3705, | |
| "valid_targets_mean": 2525.7, | |
| "valid_targets_min": 632 | |
| }, | |
| { | |
| "epoch": 6.193656093489149, | |
| "grad_norm": 0.9284259884291556, | |
| "learning_rate": 1.602252703848164e-06, | |
| "loss": 0.1575, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15259215235710144, | |
| "step": 3710, | |
| "valid_targets_mean": 1974.4, | |
| "valid_targets_min": 845 | |
| }, | |
| { | |
| "epoch": 6.202003338898163, | |
| "grad_norm": 0.7059060863708253, | |
| "learning_rate": 1.5697571066522321e-06, | |
| "loss": 0.1421, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12666380405426025, | |
| "step": 3715, | |
| "valid_targets_mean": 2369.9, | |
| "valid_targets_min": 869 | |
| }, | |
| { | |
| "epoch": 6.210350584307179, | |
| "grad_norm": 0.7480295618422672, | |
| "learning_rate": 1.5375809548096187e-06, | |
| "loss": 0.1397, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17569568753242493, | |
| "step": 3720, | |
| "valid_targets_mean": 2626.1, | |
| "valid_targets_min": 550 | |
| }, | |
| { | |
| "epoch": 6.218697829716193, | |
| "grad_norm": 0.8064888058289421, | |
| "learning_rate": 1.5057248060189956e-06, | |
| "loss": 0.1525, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16778752207756042, | |
| "step": 3725, | |
| "valid_targets_mean": 2279.5, | |
| "valid_targets_min": 795 | |
| }, | |
| { | |
| "epoch": 6.227045075125209, | |
| "grad_norm": 0.8964741161740296, | |
| "learning_rate": 1.4741892124325508e-06, | |
| "loss": 0.1561, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1577776074409485, | |
| "step": 3730, | |
| "valid_targets_mean": 1738.4, | |
| "valid_targets_min": 405 | |
| }, | |
| { | |
| "epoch": 6.235392320534224, | |
| "grad_norm": 0.8682581411786174, | |
| "learning_rate": 1.4429747206463662e-06, | |
| "loss": 0.1634, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.21041740477085114, | |
| "step": 3735, | |
| "valid_targets_mean": 2351.8, | |
| "valid_targets_min": 1003 | |
| }, | |
| { | |
| "epoch": 6.243739565943239, | |
| "grad_norm": 0.6927794152026492, | |
| "learning_rate": 1.4120818716910023e-06, | |
| "loss": 0.1483, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14970088005065918, | |
| "step": 3740, | |
| "valid_targets_mean": 3120.8, | |
| "valid_targets_min": 1085 | |
| }, | |
| { | |
| "epoch": 6.252086811352254, | |
| "grad_norm": 0.9493800328839261, | |
| "learning_rate": 1.381511201022061e-06, | |
| "loss": 0.1434, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19243334233760834, | |
| "step": 3745, | |
| "valid_targets_mean": 1847.9, | |
| "valid_targets_min": 937 | |
| }, | |
| { | |
| "epoch": 6.260434056761269, | |
| "grad_norm": 0.7922599735178169, | |
| "learning_rate": 1.3512632385109582e-06, | |
| "loss": 0.1462, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1484522521495819, | |
| "step": 3750, | |
| "valid_targets_mean": 2647.9, | |
| "valid_targets_min": 1037 | |
| }, | |
| { | |
| "epoch": 6.268781302170284, | |
| "grad_norm": 0.7230678345988222, | |
| "learning_rate": 1.3213385084356944e-06, | |
| "loss": 0.1478, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14309535920619965, | |
| "step": 3755, | |
| "valid_targets_mean": 2840.8, | |
| "valid_targets_min": 967 | |
| }, | |
| { | |
| "epoch": 6.277128547579299, | |
| "grad_norm": 0.82103624534236, | |
| "learning_rate": 1.2917375294718083e-06, | |
| "loss": 0.1529, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14719870686531067, | |
| "step": 3760, | |
| "valid_targets_mean": 2150.3, | |
| "valid_targets_min": 944 | |
| }, | |
| { | |
| "epoch": 6.285475792988314, | |
| "grad_norm": 0.8167877816687908, | |
| "learning_rate": 1.262460814683344e-06, | |
| "loss": 0.1406, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12159612774848938, | |
| "step": 3765, | |
| "valid_targets_mean": 1696.8, | |
| "valid_targets_min": 953 | |
| }, | |
| { | |
| "epoch": 6.293823038397329, | |
| "grad_norm": 0.7164665826615882, | |
| "learning_rate": 1.2335088715140065e-06, | |
| "loss": 0.1352, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13050119578838348, | |
| "step": 3770, | |
| "valid_targets_mean": 2551.6, | |
| "valid_targets_min": 651 | |
| }, | |
| { | |
| "epoch": 6.302170283806344, | |
| "grad_norm": 0.8318504157865843, | |
| "learning_rate": 1.2048822017783168e-06, | |
| "loss": 0.1676, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1429317593574524, | |
| "step": 3775, | |
| "valid_targets_mean": 2180.4, | |
| "valid_targets_min": 557 | |
| }, | |
| { | |
| "epoch": 6.310517529215359, | |
| "grad_norm": 0.8649492258660376, | |
| "learning_rate": 1.1765813016529592e-06, | |
| "loss": 0.1442, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14729107916355133, | |
| "step": 3780, | |
| "valid_targets_mean": 2001.9, | |
| "valid_targets_min": 919 | |
| }, | |
| { | |
| "epoch": 6.318864774624374, | |
| "grad_norm": 0.6475240793732475, | |
| "learning_rate": 1.1486066616681413e-06, | |
| "loss": 0.1448, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12821900844573975, | |
| "step": 3785, | |
| "valid_targets_mean": 3358.6, | |
| "valid_targets_min": 639 | |
| }, | |
| { | |
| "epoch": 6.3272120200333895, | |
| "grad_norm": 0.6529794567135447, | |
| "learning_rate": 1.1209587666991273e-06, | |
| "loss": 0.1577, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12259849905967712, | |
| "step": 3790, | |
| "valid_targets_mean": 2630.0, | |
| "valid_targets_min": 507 | |
| }, | |
| { | |
| "epoch": 6.335559265442404, | |
| "grad_norm": 0.8562469991700906, | |
| "learning_rate": 1.093638095957803e-06, | |
| "loss": 0.1532, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13961325585842133, | |
| "step": 3795, | |
| "valid_targets_mean": 2000.7, | |
| "valid_targets_min": 788 | |
| }, | |
| { | |
| "epoch": 6.343906510851419, | |
| "grad_norm": 0.7616736404357265, | |
| "learning_rate": 1.0666451229844e-06, | |
| "loss": 0.1393, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13437359035015106, | |
| "step": 3800, | |
| "valid_targets_mean": 2390.3, | |
| "valid_targets_min": 742 | |
| }, | |
| { | |
| "epoch": 6.352253756260434, | |
| "grad_norm": 0.7964023011189172, | |
| "learning_rate": 1.0399803156392507e-06, | |
| "loss": 0.1737, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1961688995361328, | |
| "step": 3805, | |
| "valid_targets_mean": 3100.4, | |
| "valid_targets_min": 749 | |
| }, | |
| { | |
| "epoch": 6.360601001669449, | |
| "grad_norm": 0.6451812780593027, | |
| "learning_rate": 1.0136441360947247e-06, | |
| "loss": 0.1485, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13224376738071442, | |
| "step": 3810, | |
| "valid_targets_mean": 2783.3, | |
| "valid_targets_min": 1025 | |
| }, | |
| { | |
| "epoch": 6.368948247078464, | |
| "grad_norm": 0.780990570956473, | |
| "learning_rate": 9.876370408271675e-07, | |
| "loss": 0.149, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14712658524513245, | |
| "step": 3815, | |
| "valid_targets_mean": 2153.8, | |
| "valid_targets_min": 1102 | |
| }, | |
| { | |
| "epoch": 6.377295492487479, | |
| "grad_norm": 0.9058546698768619, | |
| "learning_rate": 9.619594806090449e-07, | |
| "loss": 0.1432, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17065516114234924, | |
| "step": 3820, | |
| "valid_targets_mean": 2582.9, | |
| "valid_targets_min": 774 | |
| }, | |
| { | |
| "epoch": 6.385642737896494, | |
| "grad_norm": 0.80780743496805, | |
| "learning_rate": 9.366119005010699e-07, | |
| "loss": 0.1533, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15681153535842896, | |
| "step": 3825, | |
| "valid_targets_mean": 2118.6, | |
| "valid_targets_min": 826 | |
| }, | |
| { | |
| "epoch": 6.393989983305509, | |
| "grad_norm": 0.70463459252326, | |
| "learning_rate": 9.115947398445413e-07, | |
| "loss": 0.1566, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14721426367759705, | |
| "step": 3830, | |
| "valid_targets_mean": 2749.4, | |
| "valid_targets_min": 747 | |
| }, | |
| { | |
| "epoch": 6.402337228714524, | |
| "grad_norm": 0.8644015909784643, | |
| "learning_rate": 8.869084322536881e-07, | |
| "loss": 0.138, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12953412532806396, | |
| "step": 3835, | |
| "valid_targets_mean": 2124.9, | |
| "valid_targets_min": 851 | |
| }, | |
| { | |
| "epoch": 6.410684474123539, | |
| "grad_norm": 0.7417130201852908, | |
| "learning_rate": 8.62553405608193e-07, | |
| "loss": 0.1508, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14260517060756683, | |
| "step": 3840, | |
| "valid_targets_mean": 2690.2, | |
| "valid_targets_min": 1004 | |
| }, | |
| { | |
| "epoch": 6.419031719532554, | |
| "grad_norm": 0.8268422940872953, | |
| "learning_rate": 8.385300820457276e-07, | |
| "loss": 0.1549, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15967655181884766, | |
| "step": 3845, | |
| "valid_targets_mean": 2200.2, | |
| "valid_targets_min": 735 | |
| }, | |
| { | |
| "epoch": 6.427378964941569, | |
| "grad_norm": 0.8770658445847365, | |
| "learning_rate": 8.148388779546912e-07, | |
| "loss": 0.1373, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14727085828781128, | |
| "step": 3850, | |
| "valid_targets_mean": 1786.2, | |
| "valid_targets_min": 752 | |
| }, | |
| { | |
| "epoch": 6.435726210350584, | |
| "grad_norm": 0.8218639604859261, | |
| "learning_rate": 7.914802039669412e-07, | |
| "loss": 0.1536, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14088010787963867, | |
| "step": 3855, | |
| "valid_targets_mean": 2001.0, | |
| "valid_targets_min": 906 | |
| }, | |
| { | |
| "epoch": 6.444073455759599, | |
| "grad_norm": 0.6589311589586826, | |
| "learning_rate": 7.684544649507164e-07, | |
| "loss": 0.1504, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1165132224559784, | |
| "step": 3860, | |
| "valid_targets_mean": 2767.9, | |
| "valid_targets_min": 780 | |
| }, | |
| { | |
| "epoch": 6.452420701168615, | |
| "grad_norm": 0.6563808927800845, | |
| "learning_rate": 7.457620600035898e-07, | |
| "loss": 0.1656, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.19552037119865417, | |
| "step": 3865, | |
| "valid_targets_mean": 3452.3, | |
| "valid_targets_min": 889 | |
| }, | |
| { | |
| "epoch": 6.460767946577629, | |
| "grad_norm": 0.8718152279689915, | |
| "learning_rate": 7.234033824455821e-07, | |
| "loss": 0.1496, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1512538194656372, | |
| "step": 3870, | |
| "valid_targets_mean": 1872.3, | |
| "valid_targets_min": 619 | |
| }, | |
| { | |
| "epoch": 6.469115191986645, | |
| "grad_norm": 0.7803820718033989, | |
| "learning_rate": 7.01378819812304e-07, | |
| "loss": 0.1438, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1376628577709198, | |
| "step": 3875, | |
| "valid_targets_mean": 2177.5, | |
| "valid_targets_min": 790 | |
| }, | |
| { | |
| "epoch": 6.477462437395659, | |
| "grad_norm": 0.8404903873415192, | |
| "learning_rate": 6.796887538482821e-07, | |
| "loss": 0.138, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1302323341369629, | |
| "step": 3880, | |
| "valid_targets_mean": 1652.6, | |
| "valid_targets_min": 759 | |
| }, | |
| { | |
| "epoch": 6.485809682804675, | |
| "grad_norm": 0.7041496296544049, | |
| "learning_rate": 6.583335605003083e-07, | |
| "loss": 0.1415, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13807426393032074, | |
| "step": 3885, | |
| "valid_targets_mean": 2838.5, | |
| "valid_targets_min": 777 | |
| }, | |
| { | |
| "epoch": 6.494156928213689, | |
| "grad_norm": 0.8106972968034039, | |
| "learning_rate": 6.373136099109455e-07, | |
| "loss": 0.1438, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13782069087028503, | |
| "step": 3890, | |
| "valid_targets_mean": 2152.6, | |
| "valid_targets_min": 820 | |
| }, | |
| { | |
| "epoch": 6.502504173622705, | |
| "grad_norm": 0.8280130065865383, | |
| "learning_rate": 6.166292664120987e-07, | |
| "loss": 0.1482, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1481216847896576, | |
| "step": 3895, | |
| "valid_targets_mean": 3080.4, | |
| "valid_targets_min": 740 | |
| }, | |
| { | |
| "epoch": 6.510851419031719, | |
| "grad_norm": 0.9297980497793329, | |
| "learning_rate": 5.962808885187121e-07, | |
| "loss": 0.1524, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1642313301563263, | |
| "step": 3900, | |
| "valid_targets_mean": 1828.1, | |
| "valid_targets_min": 831 | |
| }, | |
| { | |
| "epoch": 6.519198664440735, | |
| "grad_norm": 0.7176871847569163, | |
| "learning_rate": 5.762688289225349e-07, | |
| "loss": 0.1383, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12464821338653564, | |
| "step": 3905, | |
| "valid_targets_mean": 2672.1, | |
| "valid_targets_min": 915 | |
| }, | |
| { | |
| "epoch": 6.527545909849749, | |
| "grad_norm": 0.7931047339698734, | |
| "learning_rate": 5.565934344860413e-07, | |
| "loss": 0.1545, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16860723495483398, | |
| "step": 3910, | |
| "valid_targets_mean": 2200.2, | |
| "valid_targets_min": 886 | |
| }, | |
| { | |
| "epoch": 6.535893155258765, | |
| "grad_norm": 0.7250577663610173, | |
| "learning_rate": 5.372550462363779e-07, | |
| "loss": 0.1451, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15044459700584412, | |
| "step": 3915, | |
| "valid_targets_mean": 2521.6, | |
| "valid_targets_min": 832 | |
| }, | |
| { | |
| "epoch": 6.54424040066778, | |
| "grad_norm": 0.70964828840811, | |
| "learning_rate": 5.182539993594904e-07, | |
| "loss": 0.1569, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15507769584655762, | |
| "step": 3920, | |
| "valid_targets_mean": 3136.9, | |
| "valid_targets_min": 763 | |
| }, | |
| { | |
| "epoch": 6.552587646076795, | |
| "grad_norm": 0.5479851363438597, | |
| "learning_rate": 4.99590623194286e-07, | |
| "loss": 0.1643, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12132815271615982, | |
| "step": 3925, | |
| "valid_targets_mean": 3820.2, | |
| "valid_targets_min": 507 | |
| }, | |
| { | |
| "epoch": 6.560934891485809, | |
| "grad_norm": 0.9976448171759269, | |
| "learning_rate": 4.812652412269448e-07, | |
| "loss": 0.1561, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15689195692539215, | |
| "step": 3930, | |
| "valid_targets_mean": 2140.2, | |
| "valid_targets_min": 728 | |
| }, | |
| { | |
| "epoch": 6.569282136894825, | |
| "grad_norm": 0.8316878399735419, | |
| "learning_rate": 4.632781710852929e-07, | |
| "loss": 0.1607, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14460167288780212, | |
| "step": 3935, | |
| "valid_targets_mean": 2163.6, | |
| "valid_targets_min": 677 | |
| }, | |
| { | |
| "epoch": 6.57762938230384, | |
| "grad_norm": 0.8666059921643122, | |
| "learning_rate": 4.456297245333252e-07, | |
| "loss": 0.1488, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1719382107257843, | |
| "step": 3940, | |
| "valid_targets_mean": 2084.9, | |
| "valid_targets_min": 772 | |
| }, | |
| { | |
| "epoch": 6.585976627712855, | |
| "grad_norm": 0.778464606415217, | |
| "learning_rate": 4.2832020746576666e-07, | |
| "loss": 0.1515, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14451493322849274, | |
| "step": 3945, | |
| "valid_targets_mean": 2528.0, | |
| "valid_targets_min": 721 | |
| }, | |
| { | |
| "epoch": 6.59432387312187, | |
| "grad_norm": 0.9300957361061936, | |
| "learning_rate": 4.113499199028037e-07, | |
| "loss": 0.1445, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15607938170433044, | |
| "step": 3950, | |
| "valid_targets_mean": 1620.5, | |
| "valid_targets_min": 1012 | |
| }, | |
| { | |
| "epoch": 6.602671118530885, | |
| "grad_norm": 0.719633133630761, | |
| "learning_rate": 3.9471915598485954e-07, | |
| "loss": 0.1404, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13011206686496735, | |
| "step": 3955, | |
| "valid_targets_mean": 2869.9, | |
| "valid_targets_min": 808 | |
| }, | |
| { | |
| "epoch": 6.6110183639399, | |
| "grad_norm": 0.7601853892881769, | |
| "learning_rate": 3.7842820396751134e-07, | |
| "loss": 0.1498, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12894247472286224, | |
| "step": 3960, | |
| "valid_targets_mean": 2399.6, | |
| "valid_targets_min": 816 | |
| }, | |
| { | |
| "epoch": 6.619365609348915, | |
| "grad_norm": 0.6867943751621223, | |
| "learning_rate": 3.62477346216481e-07, | |
| "loss": 0.1477, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12438494712114334, | |
| "step": 3965, | |
| "valid_targets_mean": 2482.9, | |
| "valid_targets_min": 527 | |
| }, | |
| { | |
| "epoch": 6.62771285475793, | |
| "grad_norm": 0.8238437846372922, | |
| "learning_rate": 3.468668592027613e-07, | |
| "loss": 0.1426, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16205736994743347, | |
| "step": 3970, | |
| "valid_targets_mean": 2345.9, | |
| "valid_targets_min": 456 | |
| }, | |
| { | |
| "epoch": 6.636060100166945, | |
| "grad_norm": 0.8072915256120992, | |
| "learning_rate": 3.3159701349779083e-07, | |
| "loss": 0.1441, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15181957185268402, | |
| "step": 3975, | |
| "valid_targets_mean": 2285.8, | |
| "valid_targets_min": 550 | |
| }, | |
| { | |
| "epoch": 6.64440734557596, | |
| "grad_norm": 0.9214323771905132, | |
| "learning_rate": 3.1666807376880436e-07, | |
| "loss": 0.1527, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15702925622463226, | |
| "step": 3980, | |
| "valid_targets_mean": 1984.9, | |
| "valid_targets_min": 513 | |
| }, | |
| { | |
| "epoch": 6.652754590984975, | |
| "grad_norm": 0.8643867218156146, | |
| "learning_rate": 3.0208029877420996e-07, | |
| "loss": 0.1481, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14187416434288025, | |
| "step": 3985, | |
| "valid_targets_mean": 1891.2, | |
| "valid_targets_min": 1172 | |
| }, | |
| { | |
| "epoch": 6.66110183639399, | |
| "grad_norm": 0.791139177061262, | |
| "learning_rate": 2.8783394135913245e-07, | |
| "loss": 0.1576, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14083585143089294, | |
| "step": 3990, | |
| "valid_targets_mean": 2188.8, | |
| "valid_targets_min": 918 | |
| }, | |
| { | |
| "epoch": 6.669449081803005, | |
| "grad_norm": 0.8683379944084556, | |
| "learning_rate": 2.7392924845100364e-07, | |
| "loss": 0.1528, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13562563061714172, | |
| "step": 3995, | |
| "valid_targets_mean": 1675.1, | |
| "valid_targets_min": 999 | |
| }, | |
| { | |
| "epoch": 6.67779632721202, | |
| "grad_norm": 0.720045003491463, | |
| "learning_rate": 2.6036646105530804e-07, | |
| "loss": 0.1481, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15499843657016754, | |
| "step": 4000, | |
| "valid_targets_mean": 2623.3, | |
| "valid_targets_min": 745 | |
| }, | |
| { | |
| "epoch": 6.686143572621035, | |
| "grad_norm": 0.75089986646281, | |
| "learning_rate": 2.471458142513861e-07, | |
| "loss": 0.1356, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15602612495422363, | |
| "step": 4005, | |
| "valid_targets_mean": 3015.9, | |
| "valid_targets_min": 869 | |
| }, | |
| { | |
| "epoch": 6.69449081803005, | |
| "grad_norm": 0.8709557230002241, | |
| "learning_rate": 2.3426753718837735e-07, | |
| "loss": 0.1497, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15754127502441406, | |
| "step": 4010, | |
| "valid_targets_mean": 2058.2, | |
| "valid_targets_min": 628 | |
| }, | |
| { | |
| "epoch": 6.702838063439065, | |
| "grad_norm": 0.7904343487830936, | |
| "learning_rate": 2.2173185308122624e-07, | |
| "loss": 0.1683, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14883893728256226, | |
| "step": 4015, | |
| "valid_targets_mean": 2092.8, | |
| "valid_targets_min": 757 | |
| }, | |
| { | |
| "epoch": 6.71118530884808, | |
| "grad_norm": 0.7145063589046023, | |
| "learning_rate": 2.0953897920683807e-07, | |
| "loss": 0.1753, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1378771811723709, | |
| "step": 4020, | |
| "valid_targets_mean": 2559.1, | |
| "valid_targets_min": 783 | |
| }, | |
| { | |
| "epoch": 6.719532554257095, | |
| "grad_norm": 0.7598989722253284, | |
| "learning_rate": 1.976891269002934e-07, | |
| "loss": 0.1337, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10784684121608734, | |
| "step": 4025, | |
| "valid_targets_mean": 2588.8, | |
| "valid_targets_min": 983 | |
| }, | |
| { | |
| "epoch": 6.72787979966611, | |
| "grad_norm": 0.8413872775162127, | |
| "learning_rate": 1.861825015511931e-07, | |
| "loss": 0.1534, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17496861517429352, | |
| "step": 4030, | |
| "valid_targets_mean": 2141.1, | |
| "valid_targets_min": 993 | |
| }, | |
| { | |
| "epoch": 6.736227045075125, | |
| "grad_norm": 0.8634852676022146, | |
| "learning_rate": 1.7501930260009902e-07, | |
| "loss": 0.1676, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15318435430526733, | |
| "step": 4035, | |
| "valid_targets_mean": 1876.1, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 6.74457429048414, | |
| "grad_norm": 0.7873931330972831, | |
| "learning_rate": 1.6419972353507895e-07, | |
| "loss": 0.1543, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13331487774848938, | |
| "step": 4040, | |
| "valid_targets_mean": 2130.6, | |
| "valid_targets_min": 595 | |
| }, | |
| { | |
| "epoch": 6.752921535893155, | |
| "grad_norm": 0.8576645010509434, | |
| "learning_rate": 1.5372395188834265e-07, | |
| "loss": 0.1474, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16483411192893982, | |
| "step": 4045, | |
| "valid_targets_mean": 2134.8, | |
| "valid_targets_min": 1088 | |
| }, | |
| { | |
| "epoch": 6.76126878130217, | |
| "grad_norm": 0.8119533846761552, | |
| "learning_rate": 1.435921692330089e-07, | |
| "loss": 0.1542, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1412743628025055, | |
| "step": 4050, | |
| "valid_targets_mean": 2252.3, | |
| "valid_targets_min": 677 | |
| }, | |
| { | |
| "epoch": 6.769616026711185, | |
| "grad_norm": 0.7153742652447527, | |
| "learning_rate": 1.3380455117993684e-07, | |
| "loss": 0.1479, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13982108235359192, | |
| "step": 4055, | |
| "valid_targets_mean": 2874.8, | |
| "valid_targets_min": 1056 | |
| }, | |
| { | |
| "epoch": 6.7779632721202, | |
| "grad_norm": 0.7524907083015943, | |
| "learning_rate": 1.2436126737470189e-07, | |
| "loss": 0.1479, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1693270355463028, | |
| "step": 4060, | |
| "valid_targets_mean": 2893.0, | |
| "valid_targets_min": 1166 | |
| }, | |
| { | |
| "epoch": 6.786310517529215, | |
| "grad_norm": 0.8131918622747486, | |
| "learning_rate": 1.1526248149464236e-07, | |
| "loss": 0.1421, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1297546923160553, | |
| "step": 4065, | |
| "valid_targets_mean": 2438.2, | |
| "valid_targets_min": 750 | |
| }, | |
| { | |
| "epoch": 6.794657762938231, | |
| "grad_norm": 0.8254520795899082, | |
| "learning_rate": 1.0650835124603076e-07, | |
| "loss": 0.1513, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.17750290036201477, | |
| "step": 4070, | |
| "valid_targets_mean": 2331.2, | |
| "valid_targets_min": 633 | |
| }, | |
| { | |
| "epoch": 6.803005008347245, | |
| "grad_norm": 0.5693397168090245, | |
| "learning_rate": 9.809902836133367e-08, | |
| "loss": 0.1616, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11621634662151337, | |
| "step": 4075, | |
| "valid_targets_mean": 3902.2, | |
| "valid_targets_min": 525 | |
| }, | |
| { | |
| "epoch": 6.811352253756261, | |
| "grad_norm": 0.7921103418512198, | |
| "learning_rate": 9.0034658596585e-08, | |
| "loss": 0.1544, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1455313265323639, | |
| "step": 4080, | |
| "valid_targets_mean": 2482.9, | |
| "valid_targets_min": 576 | |
| }, | |
| { | |
| "epoch": 6.819699499165275, | |
| "grad_norm": 0.6582144430852905, | |
| "learning_rate": 8.231538172886133e-08, | |
| "loss": 0.1379, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12822675704956055, | |
| "step": 4085, | |
| "valid_targets_mean": 3741.5, | |
| "valid_targets_min": 1190 | |
| }, | |
| { | |
| "epoch": 6.828046744574291, | |
| "grad_norm": 0.8205193387869907, | |
| "learning_rate": 7.494133155385497e-08, | |
| "loss": 0.1513, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14899955689907074, | |
| "step": 4090, | |
| "valid_targets_mean": 2317.9, | |
| "valid_targets_min": 1084 | |
| }, | |
| { | |
| "epoch": 6.836393989983305, | |
| "grad_norm": 0.7539463818014838, | |
| "learning_rate": 6.791263588355801e-08, | |
| "loss": 0.148, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14302432537078857, | |
| "step": 4095, | |
| "valid_targets_mean": 2724.6, | |
| "valid_targets_min": 506 | |
| }, | |
| { | |
| "epoch": 6.844741235392321, | |
| "grad_norm": 0.7932352371809603, | |
| "learning_rate": 6.122941654404635e-08, | |
| "loss": 0.147, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14877904951572418, | |
| "step": 4100, | |
| "valid_targets_mean": 2295.2, | |
| "valid_targets_min": 686 | |
| }, | |
| { | |
| "epoch": 6.853088480801335, | |
| "grad_norm": 0.7592631042172903, | |
| "learning_rate": 5.489178937337025e-08, | |
| "loss": 0.1598, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12802311778068542, | |
| "step": 4105, | |
| "valid_targets_mean": 2435.0, | |
| "valid_targets_min": 645 | |
| }, | |
| { | |
| "epoch": 6.861435726210351, | |
| "grad_norm": 0.740400544183983, | |
| "learning_rate": 4.88998642195404e-08, | |
| "loss": 0.1493, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1675623655319214, | |
| "step": 4110, | |
| "valid_targets_mean": 3020.7, | |
| "valid_targets_min": 626 | |
| }, | |
| { | |
| "epoch": 6.869782971619365, | |
| "grad_norm": 0.7551212330644226, | |
| "learning_rate": 4.325374493862944e-08, | |
| "loss": 0.1454, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13239090144634247, | |
| "step": 4115, | |
| "valid_targets_mean": 2441.3, | |
| "valid_targets_min": 870 | |
| }, | |
| { | |
| "epoch": 6.878130217028381, | |
| "grad_norm": 0.7873026947247144, | |
| "learning_rate": 3.795352939296892e-08, | |
| "loss": 0.1431, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14240020513534546, | |
| "step": 4120, | |
| "valid_targets_mean": 2650.7, | |
| "valid_targets_min": 1026 | |
| }, | |
| { | |
| "epoch": 6.886477462437396, | |
| "grad_norm": 0.7222184243331321, | |
| "learning_rate": 3.2999309449459616e-08, | |
| "loss": 0.1593, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16258357465267181, | |
| "step": 4125, | |
| "valid_targets_mean": 3553.1, | |
| "valid_targets_min": 677 | |
| }, | |
| { | |
| "epoch": 6.894824707846411, | |
| "grad_norm": 0.6934001168798835, | |
| "learning_rate": 2.8391170977968287e-08, | |
| "loss": 0.1398, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12724414467811584, | |
| "step": 4130, | |
| "valid_targets_mean": 2916.6, | |
| "valid_targets_min": 438 | |
| }, | |
| { | |
| "epoch": 6.903171953255426, | |
| "grad_norm": 0.9163732670059814, | |
| "learning_rate": 2.4129193849848907e-08, | |
| "loss": 0.1447, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.15469247102737427, | |
| "step": 4135, | |
| "valid_targets_mean": 2397.9, | |
| "valid_targets_min": 640 | |
| }, | |
| { | |
| "epoch": 6.911519198664441, | |
| "grad_norm": 0.7737472588199307, | |
| "learning_rate": 2.0213451936550445e-08, | |
| "loss": 0.1373, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12313120067119598, | |
| "step": 4140, | |
| "valid_targets_mean": 2735.7, | |
| "valid_targets_min": 782 | |
| }, | |
| { | |
| "epoch": 6.919866444073456, | |
| "grad_norm": 0.7576774958636098, | |
| "learning_rate": 1.6644013108342294e-08, | |
| "loss": 0.1495, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13469135761260986, | |
| "step": 4145, | |
| "valid_targets_mean": 2412.2, | |
| "valid_targets_min": 723 | |
| }, | |
| { | |
| "epoch": 6.928213689482471, | |
| "grad_norm": 0.7420215162394664, | |
| "learning_rate": 1.3420939233139696e-08, | |
| "loss": 0.1498, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.10983003675937653, | |
| "step": 4150, | |
| "valid_targets_mean": 2161.1, | |
| "valid_targets_min": 924 | |
| }, | |
| { | |
| "epoch": 6.936560934891486, | |
| "grad_norm": 0.7934013440268688, | |
| "learning_rate": 1.0544286175422358e-08, | |
| "loss": 0.1615, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14139649271965027, | |
| "step": 4155, | |
| "valid_targets_mean": 2119.1, | |
| "valid_targets_min": 875 | |
| }, | |
| { | |
| "epoch": 6.944908180300501, | |
| "grad_norm": 0.8656111522075016, | |
| "learning_rate": 8.01410379527301e-09, | |
| "loss": 0.153, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1604747772216797, | |
| "step": 4160, | |
| "valid_targets_mean": 2016.5, | |
| "valid_targets_min": 512 | |
| }, | |
| { | |
| "epoch": 6.953255425709516, | |
| "grad_norm": 0.6875432157123391, | |
| "learning_rate": 5.8304359475158665e-09, | |
| "loss": 0.164, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.13078603148460388, | |
| "step": 4165, | |
| "valid_targets_mean": 3092.0, | |
| "valid_targets_min": 762 | |
| }, | |
| { | |
| "epoch": 6.961602671118531, | |
| "grad_norm": 0.5864264486139331, | |
| "learning_rate": 3.993320480946139e-09, | |
| "loss": 0.1359, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.11410185694694519, | |
| "step": 4170, | |
| "valid_targets_mean": 3428.4, | |
| "valid_targets_min": 449 | |
| }, | |
| { | |
| "epoch": 6.969949916527546, | |
| "grad_norm": 0.864314819572472, | |
| "learning_rate": 2.5027892376860984e-09, | |
| "loss": 0.1572, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.14249885082244873, | |
| "step": 4175, | |
| "valid_targets_mean": 2076.8, | |
| "valid_targets_min": 935 | |
| }, | |
| { | |
| "epoch": 6.978297161936561, | |
| "grad_norm": 0.723051086359361, | |
| "learning_rate": 1.3588680526255282e-09, | |
| "loss": 0.1533, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1290482133626938, | |
| "step": 4180, | |
| "valid_targets_mean": 2310.8, | |
| "valid_targets_min": 888 | |
| }, | |
| { | |
| "epoch": 6.986644407345576, | |
| "grad_norm": 0.769256389319607, | |
| "learning_rate": 5.615767529709715e-10, | |
| "loss": 0.1409, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.12539488077163696, | |
| "step": 4185, | |
| "valid_targets_mean": 2040.4, | |
| "valid_targets_min": 375 | |
| }, | |
| { | |
| "epoch": 6.994991652754591, | |
| "grad_norm": 0.7838050810433654, | |
| "learning_rate": 1.1092915791266479e-10, | |
| "loss": 0.1658, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.1675959825515747, | |
| "step": 4190, | |
| "valid_targets_mean": 2465.7, | |
| "valid_targets_min": 563 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "loss_nan_ranks": 0, | |
| "loss_rank_avg": 0.16129948198795319, | |
| "step": 4193, | |
| "total_flos": 746122008920064.0, | |
| "train_loss": 0.22925819348185836, | |
| "train_runtime": 17543.4013, | |
| "train_samples_per_second": 3.821, | |
| "train_steps_per_second": 0.239, | |
| "valid_targets_mean": 1733.8, | |
| "valid_targets_min": 533 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 4193, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "save_steps": 1500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 746122008920064.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |