Instructions to use Karroyan/MasterMInd-Dou-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Karroyan/MasterMInd-Dou-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Karroyan/MasterMInd-Dou-full")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Karroyan/MasterMInd-Dou-full") model = AutoModelForCausalLM.from_pretrained("Karroyan/MasterMInd-Dou-full") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Karroyan/MasterMInd-Dou-full with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Karroyan/MasterMInd-Dou-full" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Karroyan/MasterMInd-Dou-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Karroyan/MasterMInd-Dou-full
- SGLang
How to use Karroyan/MasterMInd-Dou-full 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 "Karroyan/MasterMInd-Dou-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Karroyan/MasterMInd-Dou-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "Karroyan/MasterMInd-Dou-full" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Karroyan/MasterMInd-Dou-full", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Karroyan/MasterMInd-Dou-full with Docker Model Runner:
docker model run hf.co/Karroyan/MasterMInd-Dou-full
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.28111830789548353, | |
| "eval_steps": 100, | |
| "global_step": 32100, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.0, | |
| "eval_R1": 0.6413, | |
| "eval_R2": 0.3941, | |
| "eval_RL": 0.5744, | |
| "eval_RLsum": 0.5348, | |
| "eval_acc": 0.0, | |
| "eval_loss": 1.605442762374878, | |
| "eval_runtime": 1471.833, | |
| "eval_samples_per_second": 15.916, | |
| "eval_steps_per_second": 7.958, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.0, | |
| "eval_R1": 0.7537, | |
| "eval_R2": 0.5609, | |
| "eval_RL": 0.729, | |
| "eval_RLsum": 0.7202, | |
| "eval_acc": 0.0, | |
| "eval_loss": 0.9451379179954529, | |
| "eval_runtime": 1465.7086, | |
| "eval_samples_per_second": 15.983, | |
| "eval_steps_per_second": 7.991, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.7623580636899172, | |
| "eval_R1": 0.9493, | |
| "eval_R2": 0.8885, | |
| "eval_RL": 0.9427, | |
| "eval_RLsum": 0.9427, | |
| "eval_acc": 0.1172, | |
| "eval_loss": 0.15940502285957336, | |
| "eval_runtime": 1455.1674, | |
| "eval_samples_per_second": 16.098, | |
| "eval_steps_per_second": 8.049, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.7699564586357039, | |
| "eval_R1": 0.9575, | |
| "eval_R2": 0.9086, | |
| "eval_RL": 0.9519, | |
| "eval_RLsum": 0.9519, | |
| "eval_acc": 0.2093, | |
| "eval_loss": 0.12018325924873352, | |
| "eval_runtime": 1457.2408, | |
| "eval_samples_per_second": 16.076, | |
| "eval_steps_per_second": 8.038, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.7807564244856142, | |
| "eval_R1": 0.9642, | |
| "eval_R2": 0.9253, | |
| "eval_RL": 0.9599, | |
| "eval_RLsum": 0.9599, | |
| "eval_acc": 0.2186, | |
| "eval_loss": 0.0955982431769371, | |
| "eval_runtime": 1457.0581, | |
| "eval_samples_per_second": 16.078, | |
| "eval_steps_per_second": 8.039, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "grad_norm": 4.5625, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 0.4187, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.0, | |
| "eval_Final acc": 0.792837018697174, | |
| "eval_R1": 0.9681, | |
| "eval_R2": 0.9354, | |
| "eval_RL": 0.9648, | |
| "eval_RLsum": 0.9648, | |
| "eval_acc": 0.2321, | |
| "eval_loss": 0.09067051112651825, | |
| "eval_runtime": 1455.1044, | |
| "eval_samples_per_second": 16.099, | |
| "eval_steps_per_second": 8.05, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.783744557329463, | |
| "eval_R1": 0.9717, | |
| "eval_R2": 0.9407, | |
| "eval_RL": 0.9684, | |
| "eval_RLsum": 0.9684, | |
| "eval_acc": 0.3027, | |
| "eval_loss": 0.0751085877418518, | |
| "eval_runtime": 1457.3186, | |
| "eval_samples_per_second": 16.075, | |
| "eval_steps_per_second": 8.037, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7924101425766242, | |
| "eval_R1": 0.9729, | |
| "eval_R2": 0.9436, | |
| "eval_RL": 0.9698, | |
| "eval_RLsum": 0.9698, | |
| "eval_acc": 0.2989, | |
| "eval_loss": 0.07116048038005829, | |
| "eval_runtime": 1458.0436, | |
| "eval_samples_per_second": 16.067, | |
| "eval_steps_per_second": 8.033, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7832323059848032, | |
| "eval_R1": 0.9722, | |
| "eval_R2": 0.9426, | |
| "eval_RL": 0.969, | |
| "eval_RLsum": 0.969, | |
| "eval_acc": 0.3228, | |
| "eval_loss": 0.0740852877497673, | |
| "eval_runtime": 1456.9463, | |
| "eval_samples_per_second": 16.079, | |
| "eval_steps_per_second": 8.039, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7784512934346453, | |
| "eval_R1": 0.9773, | |
| "eval_R2": 0.9525, | |
| "eval_RL": 0.9739, | |
| "eval_RLsum": 0.974, | |
| "eval_acc": 0.3635, | |
| "eval_loss": 0.059417903423309326, | |
| "eval_runtime": 1456.8308, | |
| "eval_samples_per_second": 16.08, | |
| "eval_steps_per_second": 8.04, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 1.6796875, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.0688, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.797618031247332, | |
| "eval_R1": 0.977, | |
| "eval_R2": 0.9548, | |
| "eval_RL": 0.9753, | |
| "eval_RLsum": 0.9754, | |
| "eval_acc": 0.3543, | |
| "eval_loss": 0.058632686734199524, | |
| "eval_runtime": 1454.9906, | |
| "eval_samples_per_second": 16.1, | |
| "eval_steps_per_second": 8.05, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7904892000341501, | |
| "eval_R1": 0.9788, | |
| "eval_R2": 0.9563, | |
| "eval_RL": 0.9762, | |
| "eval_RLsum": 0.9762, | |
| "eval_acc": 0.3487, | |
| "eval_loss": 0.06547216325998306, | |
| "eval_runtime": 1455.5453, | |
| "eval_samples_per_second": 16.094, | |
| "eval_steps_per_second": 8.047, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7834884316571331, | |
| "eval_R1": 0.9769, | |
| "eval_R2": 0.9535, | |
| "eval_RL": 0.9746, | |
| "eval_RLsum": 0.9746, | |
| "eval_acc": 0.3247, | |
| "eval_loss": 0.06337419152259827, | |
| "eval_runtime": 1455.4383, | |
| "eval_samples_per_second": 16.095, | |
| "eval_steps_per_second": 8.048, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7833176812089132, | |
| "eval_R1": 0.9787, | |
| "eval_R2": 0.9561, | |
| "eval_RL": 0.9757, | |
| "eval_RLsum": 0.9757, | |
| "eval_acc": 0.3857, | |
| "eval_loss": 0.055473439395427704, | |
| "eval_runtime": 1455.1315, | |
| "eval_samples_per_second": 16.099, | |
| "eval_steps_per_second": 8.049, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7908307009305899, | |
| "eval_R1": 0.9768, | |
| "eval_R2": 0.9542, | |
| "eval_RL": 0.9746, | |
| "eval_RLsum": 0.9746, | |
| "eval_acc": 0.3544, | |
| "eval_loss": 0.057770680636167526, | |
| "eval_runtime": 1453.8142, | |
| "eval_samples_per_second": 16.113, | |
| "eval_steps_per_second": 8.057, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 1.7578125, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.0573, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7988132843848715, | |
| "eval_R1": 0.9785, | |
| "eval_R2": 0.9576, | |
| "eval_RL": 0.9762, | |
| "eval_RLsum": 0.9763, | |
| "eval_acc": 0.385, | |
| "eval_loss": 0.054414428770542145, | |
| "eval_runtime": 1454.4943, | |
| "eval_samples_per_second": 16.106, | |
| "eval_steps_per_second": 8.053, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.7952702125843081, | |
| "eval_R1": 0.9778, | |
| "eval_R2": 0.9535, | |
| "eval_RL": 0.9746, | |
| "eval_RLsum": 0.9746, | |
| "eval_acc": 0.3673, | |
| "eval_loss": 0.061701055616140366, | |
| "eval_runtime": 1453.2555, | |
| "eval_samples_per_second": 16.12, | |
| "eval_steps_per_second": 8.06, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_Final acc": 0.8124306326304107, | |
| "eval_R1": 0.9777, | |
| "eval_R2": 0.9563, | |
| "eval_RL": 0.9758, | |
| "eval_RLsum": 0.9758, | |
| "eval_acc": 0.3971, | |
| "eval_loss": 0.056059580296278, | |
| "eval_runtime": 1453.5256, | |
| "eval_samples_per_second": 16.117, | |
| "eval_steps_per_second": 8.058, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.8063689917186032, | |
| "eval_R1": 0.9781, | |
| "eval_R2": 0.9549, | |
| "eval_RL": 0.9759, | |
| "eval_RLsum": 0.9759, | |
| "eval_acc": 0.366, | |
| "eval_loss": 0.06471270322799683, | |
| "eval_runtime": 1452.9948, | |
| "eval_samples_per_second": 16.123, | |
| "eval_steps_per_second": 8.061, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7845983095705626, | |
| "eval_R1": 0.9811, | |
| "eval_R2": 0.9621, | |
| "eval_RL": 0.9788, | |
| "eval_RLsum": 0.9788, | |
| "eval_acc": 0.4019, | |
| "eval_loss": 0.04981780797243118, | |
| "eval_runtime": 1454.5264, | |
| "eval_samples_per_second": 16.106, | |
| "eval_steps_per_second": 8.053, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 2.859375, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.0525, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7960812772133526, | |
| "eval_R1": 0.9807, | |
| "eval_R2": 0.9611, | |
| "eval_RL": 0.9783, | |
| "eval_RLsum": 0.9783, | |
| "eval_acc": 0.3725, | |
| "eval_loss": 0.05053915083408356, | |
| "eval_runtime": 1454.7495, | |
| "eval_samples_per_second": 16.103, | |
| "eval_steps_per_second": 8.052, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7927516434730641, | |
| "eval_R1": 0.9802, | |
| "eval_R2": 0.96, | |
| "eval_RL": 0.9777, | |
| "eval_RLsum": 0.9778, | |
| "eval_acc": 0.3841, | |
| "eval_loss": 0.05365655571222305, | |
| "eval_runtime": 1452.1804, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.8036369845470844, | |
| "eval_R1": 0.9804, | |
| "eval_R2": 0.9612, | |
| "eval_RL": 0.9783, | |
| "eval_RLsum": 0.9783, | |
| "eval_acc": 0.4144, | |
| "eval_loss": 0.05007287114858627, | |
| "eval_runtime": 1455.5749, | |
| "eval_samples_per_second": 16.094, | |
| "eval_steps_per_second": 8.047, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.8013745411081704, | |
| "eval_R1": 0.9794, | |
| "eval_R2": 0.9596, | |
| "eval_RL": 0.9775, | |
| "eval_RLsum": 0.9775, | |
| "eval_acc": 0.3875, | |
| "eval_loss": 0.05094440281391144, | |
| "eval_runtime": 1453.0962, | |
| "eval_samples_per_second": 16.121, | |
| "eval_steps_per_second": 8.061, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7896354477930505, | |
| "eval_R1": 0.9805, | |
| "eval_R2": 0.9617, | |
| "eval_RL": 0.9783, | |
| "eval_RLsum": 0.9783, | |
| "eval_acc": 0.4016, | |
| "eval_loss": 0.05133907496929169, | |
| "eval_runtime": 1454.3241, | |
| "eval_samples_per_second": 16.108, | |
| "eval_steps_per_second": 8.054, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 0.81640625, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 0.0483, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.802441731409545, | |
| "eval_R1": 0.9803, | |
| "eval_R2": 0.9602, | |
| "eval_RL": 0.9782, | |
| "eval_RLsum": 0.9782, | |
| "eval_acc": 0.3766, | |
| "eval_loss": 0.0638379454612732, | |
| "eval_runtime": 1456.4588, | |
| "eval_samples_per_second": 16.084, | |
| "eval_steps_per_second": 8.042, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7980449073678818, | |
| "eval_R1": 0.9814, | |
| "eval_R2": 0.9632, | |
| "eval_RL": 0.9796, | |
| "eval_RLsum": 0.9796, | |
| "eval_acc": 0.4159, | |
| "eval_loss": 0.048462945967912674, | |
| "eval_runtime": 1454.6004, | |
| "eval_samples_per_second": 16.105, | |
| "eval_steps_per_second": 8.052, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.8023990437974899, | |
| "eval_R1": 0.9816, | |
| "eval_R2": 0.9629, | |
| "eval_RL": 0.9793, | |
| "eval_RLsum": 0.9793, | |
| "eval_acc": 0.4099, | |
| "eval_loss": 0.050914596766233444, | |
| "eval_runtime": 1453.4126, | |
| "eval_samples_per_second": 16.118, | |
| "eval_steps_per_second": 8.059, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "eval_Final acc": 0.7963374028856826, | |
| "eval_R1": 0.9818, | |
| "eval_R2": 0.9629, | |
| "eval_RL": 0.9794, | |
| "eval_RLsum": 0.9794, | |
| "eval_acc": 0.4046, | |
| "eval_loss": 0.05119272321462631, | |
| "eval_runtime": 1452.8409, | |
| "eval_samples_per_second": 16.124, | |
| "eval_steps_per_second": 8.062, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8194314010074276, | |
| "eval_R1": 0.9824, | |
| "eval_R2": 0.965, | |
| "eval_RL": 0.9807, | |
| "eval_RLsum": 0.9807, | |
| "eval_acc": 0.4058, | |
| "eval_loss": 0.04595864564180374, | |
| "eval_runtime": 1453.233, | |
| "eval_samples_per_second": 16.12, | |
| "eval_steps_per_second": 8.06, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 2.359375, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0483, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8083753094851874, | |
| "eval_R1": 0.981, | |
| "eval_R2": 0.9618, | |
| "eval_RL": 0.9791, | |
| "eval_RLsum": 0.9791, | |
| "eval_acc": 0.4029, | |
| "eval_loss": 0.050352487713098526, | |
| "eval_runtime": 1453.1272, | |
| "eval_samples_per_second": 16.121, | |
| "eval_steps_per_second": 8.061, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.7971057799026723, | |
| "eval_R1": 0.9808, | |
| "eval_R2": 0.9626, | |
| "eval_RL": 0.9791, | |
| "eval_RLsum": 0.9792, | |
| "eval_acc": 0.4255, | |
| "eval_loss": 0.04512492194771767, | |
| "eval_runtime": 1453.2885, | |
| "eval_samples_per_second": 16.119, | |
| "eval_steps_per_second": 8.06, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8262187313241697, | |
| "eval_R1": 0.9824, | |
| "eval_R2": 0.9663, | |
| "eval_RL": 0.9813, | |
| "eval_RLsum": 0.9814, | |
| "eval_acc": 0.4177, | |
| "eval_loss": 0.04345691576600075, | |
| "eval_runtime": 1450.9307, | |
| "eval_samples_per_second": 16.145, | |
| "eval_steps_per_second": 8.073, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8077776829164176, | |
| "eval_R1": 0.9828, | |
| "eval_R2": 0.9662, | |
| "eval_RL": 0.9812, | |
| "eval_RLsum": 0.9812, | |
| "eval_acc": 0.4478, | |
| "eval_loss": 0.04140510410070419, | |
| "eval_runtime": 1455.0171, | |
| "eval_samples_per_second": 16.1, | |
| "eval_steps_per_second": 8.05, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8141808247246649, | |
| "eval_R1": 0.9834, | |
| "eval_R2": 0.9677, | |
| "eval_RL": 0.9821, | |
| "eval_RLsum": 0.9821, | |
| "eval_acc": 0.4464, | |
| "eval_loss": 0.04060707613825798, | |
| "eval_runtime": 1476.0047, | |
| "eval_samples_per_second": 15.871, | |
| "eval_steps_per_second": 7.936, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 1.5078125, | |
| "learning_rate": 4.997804822366226e-05, | |
| "loss": 0.0413, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.790702638094425, | |
| "eval_R1": 0.9824, | |
| "eval_R2": 0.965, | |
| "eval_RL": 0.9803, | |
| "eval_RLsum": 0.9803, | |
| "eval_acc": 0.432, | |
| "eval_loss": 0.04334761202335358, | |
| "eval_runtime": 1456.2692, | |
| "eval_samples_per_second": 16.086, | |
| "eval_steps_per_second": 8.043, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8168701442841287, | |
| "eval_R1": 0.9835, | |
| "eval_R2": 0.9677, | |
| "eval_RL": 0.9821, | |
| "eval_RLsum": 0.9821, | |
| "eval_acc": 0.4265, | |
| "eval_loss": 0.040950775146484375, | |
| "eval_runtime": 1463.6764, | |
| "eval_samples_per_second": 16.005, | |
| "eval_steps_per_second": 8.002, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8131990096474003, | |
| "eval_R1": 0.9819, | |
| "eval_R2": 0.9648, | |
| "eval_RL": 0.9804, | |
| "eval_RLsum": 0.9804, | |
| "eval_acc": 0.3961, | |
| "eval_loss": 0.042560186237096786, | |
| "eval_runtime": 1457.9476, | |
| "eval_samples_per_second": 16.068, | |
| "eval_steps_per_second": 8.034, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8021856057372151, | |
| "eval_R1": 0.9835, | |
| "eval_R2": 0.9665, | |
| "eval_RL": 0.9816, | |
| "eval_RLsum": 0.9816, | |
| "eval_acc": 0.4433, | |
| "eval_loss": 0.040598947554826736, | |
| "eval_runtime": 1455.5227, | |
| "eval_samples_per_second": 16.095, | |
| "eval_steps_per_second": 8.047, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_Final acc": 0.8159310168189191, | |
| "eval_R1": 0.9849, | |
| "eval_R2": 0.9689, | |
| "eval_RL": 0.9828, | |
| "eval_RLsum": 0.9828, | |
| "eval_acc": 0.4842, | |
| "eval_loss": 0.039128851145505905, | |
| "eval_runtime": 1454.1229, | |
| "eval_samples_per_second": 16.11, | |
| "eval_steps_per_second": 8.055, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 1.484375, | |
| "learning_rate": 4.995609644732452e-05, | |
| "loss": 0.0344, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8003500384188509, | |
| "eval_R1": 0.9828, | |
| "eval_R2": 0.9657, | |
| "eval_RL": 0.9808, | |
| "eval_RLsum": 0.9808, | |
| "eval_acc": 0.4485, | |
| "eval_loss": 0.04084988310933113, | |
| "eval_runtime": 1458.2574, | |
| "eval_samples_per_second": 16.064, | |
| "eval_steps_per_second": 8.032, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8207974045931871, | |
| "eval_R1": 0.9848, | |
| "eval_R2": 0.9696, | |
| "eval_RL": 0.9832, | |
| "eval_RLsum": 0.9832, | |
| "eval_acc": 0.46, | |
| "eval_loss": 0.038339026272296906, | |
| "eval_runtime": 1460.3625, | |
| "eval_samples_per_second": 16.041, | |
| "eval_steps_per_second": 8.021, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8277981729702041, | |
| "eval_R1": 0.9852, | |
| "eval_R2": 0.9708, | |
| "eval_RL": 0.9837, | |
| "eval_RLsum": 0.9837, | |
| "eval_acc": 0.4786, | |
| "eval_loss": 0.036994535475969315, | |
| "eval_runtime": 1455.9411, | |
| "eval_samples_per_second": 16.09, | |
| "eval_steps_per_second": 8.045, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8134978229317852, | |
| "eval_R1": 0.9841, | |
| "eval_R2": 0.9693, | |
| "eval_RL": 0.983, | |
| "eval_RLsum": 0.983, | |
| "eval_acc": 0.456, | |
| "eval_loss": 0.03735179081559181, | |
| "eval_runtime": 1455.6736, | |
| "eval_samples_per_second": 16.093, | |
| "eval_steps_per_second": 8.046, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.825663792367455, | |
| "eval_R1": 0.9847, | |
| "eval_R2": 0.97, | |
| "eval_RL": 0.9831, | |
| "eval_RLsum": 0.9832, | |
| "eval_acc": 0.48, | |
| "eval_loss": 0.03692484274506569, | |
| "eval_runtime": 1455.1544, | |
| "eval_samples_per_second": 16.099, | |
| "eval_steps_per_second": 8.049, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.62890625, | |
| "learning_rate": 4.993414467098678e-05, | |
| "loss": 0.0332, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8109365662084863, | |
| "eval_R1": 0.9855, | |
| "eval_R2": 0.9714, | |
| "eval_RL": 0.984, | |
| "eval_RLsum": 0.984, | |
| "eval_acc": 0.465, | |
| "eval_loss": 0.03752029687166214, | |
| "eval_runtime": 1452.4959, | |
| "eval_samples_per_second": 16.128, | |
| "eval_steps_per_second": 8.064, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8263467941603346, | |
| "eval_R1": 0.9865, | |
| "eval_R2": 0.9721, | |
| "eval_RL": 0.9845, | |
| "eval_RLsum": 0.9845, | |
| "eval_acc": 0.4893, | |
| "eval_loss": 0.03496832400560379, | |
| "eval_runtime": 1452.9712, | |
| "eval_samples_per_second": 16.123, | |
| "eval_steps_per_second": 8.061, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8236147869888159, | |
| "eval_R1": 0.9859, | |
| "eval_R2": 0.971, | |
| "eval_RL": 0.984, | |
| "eval_RLsum": 0.984, | |
| "eval_acc": 0.4757, | |
| "eval_loss": 0.03735872730612755, | |
| "eval_runtime": 1452.9684, | |
| "eval_samples_per_second": 16.123, | |
| "eval_steps_per_second": 8.061, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.827883548194314, | |
| "eval_R1": 0.9853, | |
| "eval_R2": 0.9711, | |
| "eval_RL": 0.9839, | |
| "eval_RLsum": 0.9839, | |
| "eval_acc": 0.4599, | |
| "eval_loss": 0.037006475031375885, | |
| "eval_runtime": 1453.0228, | |
| "eval_samples_per_second": 16.122, | |
| "eval_steps_per_second": 8.061, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8364637582173653, | |
| "eval_R1": 0.9859, | |
| "eval_R2": 0.9724, | |
| "eval_RL": 0.9846, | |
| "eval_RLsum": 0.9846, | |
| "eval_acc": 0.4934, | |
| "eval_loss": 0.03393573313951492, | |
| "eval_runtime": 1452.694, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 0.98046875, | |
| "learning_rate": 4.991219289464904e-05, | |
| "loss": 0.0305, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.8354392555280458, | |
| "eval_R1": 0.9858, | |
| "eval_R2": 0.9718, | |
| "eval_RL": 0.9844, | |
| "eval_RLsum": 0.9844, | |
| "eval_acc": 0.4975, | |
| "eval_loss": 0.03460527956485748, | |
| "eval_runtime": 1453.5753, | |
| "eval_samples_per_second": 16.116, | |
| "eval_steps_per_second": 8.058, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_Final acc": 0.841799709724238, | |
| "eval_R1": 0.9861, | |
| "eval_R2": 0.9725, | |
| "eval_RL": 0.9847, | |
| "eval_RLsum": 0.9847, | |
| "eval_acc": 0.4892, | |
| "eval_loss": 0.03439662605524063, | |
| "eval_runtime": 1456.3191, | |
| "eval_samples_per_second": 16.086, | |
| "eval_steps_per_second": 8.043, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8333048749252967, | |
| "eval_R1": 0.986, | |
| "eval_R2": 0.9722, | |
| "eval_RL": 0.9847, | |
| "eval_RLsum": 0.9847, | |
| "eval_acc": 0.4991, | |
| "eval_loss": 0.03394049033522606, | |
| "eval_runtime": 1452.9392, | |
| "eval_samples_per_second": 16.123, | |
| "eval_steps_per_second": 8.062, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8340305643302314, | |
| "eval_R1": 0.9855, | |
| "eval_R2": 0.971, | |
| "eval_RL": 0.9839, | |
| "eval_RLsum": 0.984, | |
| "eval_acc": 0.4957, | |
| "eval_loss": 0.034873489290475845, | |
| "eval_runtime": 1454.048, | |
| "eval_samples_per_second": 16.111, | |
| "eval_steps_per_second": 8.055, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8334329377614617, | |
| "eval_R1": 0.985, | |
| "eval_R2": 0.9701, | |
| "eval_RL": 0.9836, | |
| "eval_RLsum": 0.9837, | |
| "eval_acc": 0.4827, | |
| "eval_loss": 0.0355926938354969, | |
| "eval_runtime": 1451.844, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.068, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.263671875, | |
| "learning_rate": 4.9890241118311296e-05, | |
| "loss": 0.0294, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8330060616409118, | |
| "eval_R1": 0.9846, | |
| "eval_R2": 0.9697, | |
| "eval_RL": 0.9832, | |
| "eval_RLsum": 0.9832, | |
| "eval_acc": 0.4824, | |
| "eval_loss": 0.0374641939997673, | |
| "eval_runtime": 1451.8914, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.067, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8362076325450354, | |
| "eval_R1": 0.9861, | |
| "eval_R2": 0.9722, | |
| "eval_RL": 0.9847, | |
| "eval_RLsum": 0.9847, | |
| "eval_acc": 0.4621, | |
| "eval_loss": 0.03642026707530022, | |
| "eval_runtime": 1452.5171, | |
| "eval_samples_per_second": 16.128, | |
| "eval_steps_per_second": 8.064, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8437206522667122, | |
| "eval_R1": 0.9864, | |
| "eval_R2": 0.973, | |
| "eval_RL": 0.985, | |
| "eval_RLsum": 0.985, | |
| "eval_acc": 0.4869, | |
| "eval_loss": 0.03417905047535896, | |
| "eval_runtime": 1453.5418, | |
| "eval_samples_per_second": 16.116, | |
| "eval_steps_per_second": 8.058, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8427388371894476, | |
| "eval_R1": 0.9855, | |
| "eval_R2": 0.9713, | |
| "eval_RL": 0.9842, | |
| "eval_RLsum": 0.9842, | |
| "eval_acc": 0.4967, | |
| "eval_loss": 0.033821187913417816, | |
| "eval_runtime": 1453.0231, | |
| "eval_samples_per_second": 16.122, | |
| "eval_steps_per_second": 8.061, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8383847007598395, | |
| "eval_R1": 0.9865, | |
| "eval_R2": 0.9733, | |
| "eval_RL": 0.9851, | |
| "eval_RLsum": 0.9852, | |
| "eval_acc": 0.5177, | |
| "eval_loss": 0.03298434987664223, | |
| "eval_runtime": 1453.3307, | |
| "eval_samples_per_second": 16.119, | |
| "eval_steps_per_second": 8.059, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 0.65234375, | |
| "learning_rate": 4.9868289341973555e-05, | |
| "loss": 0.0269, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8430803380858874, | |
| "eval_R1": 0.9865, | |
| "eval_R2": 0.9732, | |
| "eval_RL": 0.9853, | |
| "eval_RLsum": 0.9853, | |
| "eval_acc": 0.5183, | |
| "eval_loss": 0.03350769728422165, | |
| "eval_runtime": 1452.7517, | |
| "eval_samples_per_second": 16.125, | |
| "eval_steps_per_second": 8.063, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8421412106206779, | |
| "eval_R1": 0.9867, | |
| "eval_R2": 0.9733, | |
| "eval_RL": 0.9854, | |
| "eval_RLsum": 0.9854, | |
| "eval_acc": 0.5083, | |
| "eval_loss": 0.03241712972521782, | |
| "eval_runtime": 1452.2064, | |
| "eval_samples_per_second": 16.131, | |
| "eval_steps_per_second": 8.066, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_Final acc": 0.8307009305899428, | |
| "eval_R1": 0.9875, | |
| "eval_R2": 0.9742, | |
| "eval_RL": 0.9857, | |
| "eval_RLsum": 0.9857, | |
| "eval_acc": 0.5239, | |
| "eval_loss": 0.03130584582686424, | |
| "eval_runtime": 1452.2195, | |
| "eval_samples_per_second": 16.131, | |
| "eval_steps_per_second": 8.066, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8461111585417912, | |
| "eval_R1": 0.9866, | |
| "eval_R2": 0.9733, | |
| "eval_RL": 0.9853, | |
| "eval_RLsum": 0.9854, | |
| "eval_acc": 0.5294, | |
| "eval_loss": 0.031051861122250557, | |
| "eval_runtime": 1451.5689, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8422692734568428, | |
| "eval_R1": 0.9882, | |
| "eval_R2": 0.9758, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9866, | |
| "eval_acc": 0.5361, | |
| "eval_loss": 0.03030543029308319, | |
| "eval_runtime": 1452.4067, | |
| "eval_samples_per_second": 16.129, | |
| "eval_steps_per_second": 8.065, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.1962890625, | |
| "learning_rate": 4.9846337565635814e-05, | |
| "loss": 0.0259, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8405617689746435, | |
| "eval_R1": 0.9874, | |
| "eval_R2": 0.975, | |
| "eval_RL": 0.9862, | |
| "eval_RLsum": 0.9862, | |
| "eval_acc": 0.5432, | |
| "eval_loss": 0.03065246157348156, | |
| "eval_runtime": 1452.6122, | |
| "eval_samples_per_second": 16.127, | |
| "eval_steps_per_second": 8.063, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8482028515324853, | |
| "eval_R1": 0.9875, | |
| "eval_R2": 0.9752, | |
| "eval_RL": 0.9863, | |
| "eval_RLsum": 0.9863, | |
| "eval_acc": 0.5112, | |
| "eval_loss": 0.03139213100075722, | |
| "eval_runtime": 1450.679, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8590881926065056, | |
| "eval_R1": 0.9873, | |
| "eval_R2": 0.9751, | |
| "eval_RL": 0.9863, | |
| "eval_RLsum": 0.9863, | |
| "eval_acc": 0.5372, | |
| "eval_loss": 0.031337395310401917, | |
| "eval_runtime": 1451.3656, | |
| "eval_samples_per_second": 16.141, | |
| "eval_steps_per_second": 8.07, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8578075642448562, | |
| "eval_R1": 0.9875, | |
| "eval_R2": 0.9756, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9865, | |
| "eval_acc": 0.5365, | |
| "eval_loss": 0.029987240210175514, | |
| "eval_runtime": 1452.5988, | |
| "eval_samples_per_second": 16.127, | |
| "eval_steps_per_second": 8.063, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8523435499018185, | |
| "eval_R1": 0.9868, | |
| "eval_R2": 0.974, | |
| "eval_RL": 0.9856, | |
| "eval_RLsum": 0.9856, | |
| "eval_acc": 0.5236, | |
| "eval_loss": 0.029863450676202774, | |
| "eval_runtime": 1463.7558, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.51953125, | |
| "learning_rate": 4.982438578929807e-05, | |
| "loss": 0.0251, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8515324852727738, | |
| "eval_R1": 0.988, | |
| "eval_R2": 0.9757, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9865, | |
| "eval_acc": 0.5462, | |
| "eval_loss": 0.0297914557158947, | |
| "eval_runtime": 1453.0463, | |
| "eval_samples_per_second": 16.122, | |
| "eval_steps_per_second": 8.061, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8449159054042517, | |
| "eval_R1": 0.9876, | |
| "eval_R2": 0.9754, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9865, | |
| "eval_acc": 0.5391, | |
| "eval_loss": 0.028796358034014702, | |
| "eval_runtime": 1463.6264, | |
| "eval_samples_per_second": 16.005, | |
| "eval_steps_per_second": 8.003, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8518312985571587, | |
| "eval_R1": 0.988, | |
| "eval_R2": 0.9759, | |
| "eval_RL": 0.9867, | |
| "eval_RLsum": 0.9867, | |
| "eval_acc": 0.5419, | |
| "eval_loss": 0.029616739600896835, | |
| "eval_runtime": 1449.9364, | |
| "eval_samples_per_second": 16.157, | |
| "eval_steps_per_second": 8.078, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8484162895927602, | |
| "eval_R1": 0.9882, | |
| "eval_R2": 0.9759, | |
| "eval_RL": 0.9866, | |
| "eval_RLsum": 0.9866, | |
| "eval_acc": 0.5557, | |
| "eval_loss": 0.027878882363438606, | |
| "eval_runtime": 1451.89, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.067, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_Final acc": 0.8571672500640314, | |
| "eval_R1": 0.988, | |
| "eval_R2": 0.9757, | |
| "eval_RL": 0.9866, | |
| "eval_RLsum": 0.9866, | |
| "eval_acc": 0.5347, | |
| "eval_loss": 0.029337283223867416, | |
| "eval_runtime": 1451.1447, | |
| "eval_samples_per_second": 16.143, | |
| "eval_steps_per_second": 8.072, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.470703125, | |
| "learning_rate": 4.980243401296033e-05, | |
| "loss": 0.0227, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8491846666097499, | |
| "eval_R1": 0.9871, | |
| "eval_R2": 0.9743, | |
| "eval_RL": 0.9859, | |
| "eval_RLsum": 0.9859, | |
| "eval_acc": 0.5351, | |
| "eval_loss": 0.029166363179683685, | |
| "eval_runtime": 1463.7668, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8567403739434816, | |
| "eval_R1": 0.9881, | |
| "eval_R2": 0.9769, | |
| "eval_RL": 0.9872, | |
| "eval_RLsum": 0.9872, | |
| "eval_acc": 0.5605, | |
| "eval_loss": 0.027573315426707268, | |
| "eval_runtime": 1451.2217, | |
| "eval_samples_per_second": 16.142, | |
| "eval_steps_per_second": 8.071, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8582771279774609, | |
| "eval_R1": 0.9877, | |
| "eval_R2": 0.9757, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9865, | |
| "eval_acc": 0.5501, | |
| "eval_loss": 0.029309125617146492, | |
| "eval_runtime": 1461.7473, | |
| "eval_samples_per_second": 16.026, | |
| "eval_steps_per_second": 8.013, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8508067958678391, | |
| "eval_R1": 0.9878, | |
| "eval_R2": 0.9759, | |
| "eval_RL": 0.9866, | |
| "eval_RLsum": 0.9866, | |
| "eval_acc": 0.5448, | |
| "eval_loss": 0.028771745041012764, | |
| "eval_runtime": 1452.0859, | |
| "eval_samples_per_second": 16.133, | |
| "eval_steps_per_second": 8.066, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8591308802185605, | |
| "eval_R1": 0.9885, | |
| "eval_R2": 0.9771, | |
| "eval_RL": 0.9875, | |
| "eval_RLsum": 0.9875, | |
| "eval_acc": 0.5522, | |
| "eval_loss": 0.029200535267591476, | |
| "eval_runtime": 1452.9102, | |
| "eval_samples_per_second": 16.124, | |
| "eval_steps_per_second": 8.062, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.6171875, | |
| "learning_rate": 4.978048223662259e-05, | |
| "loss": 0.0197, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8661316485955776, | |
| "eval_R1": 0.9884, | |
| "eval_R2": 0.9765, | |
| "eval_RL": 0.9872, | |
| "eval_RLsum": 0.9872, | |
| "eval_acc": 0.5499, | |
| "eval_loss": 0.0286564901471138, | |
| "eval_runtime": 1462.7564, | |
| "eval_samples_per_second": 16.015, | |
| "eval_steps_per_second": 8.007, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.855801246478272, | |
| "eval_R1": 0.988, | |
| "eval_R2": 0.9756, | |
| "eval_RL": 0.9865, | |
| "eval_RLsum": 0.9866, | |
| "eval_acc": 0.5429, | |
| "eval_loss": 0.029118115082383156, | |
| "eval_runtime": 1452.209, | |
| "eval_samples_per_second": 16.131, | |
| "eval_steps_per_second": 8.066, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8709553487577905, | |
| "eval_R1": 0.9888, | |
| "eval_R2": 0.9777, | |
| "eval_RL": 0.9877, | |
| "eval_RLsum": 0.9878, | |
| "eval_acc": 0.5563, | |
| "eval_loss": 0.02814970724284649, | |
| "eval_runtime": 1454.2282, | |
| "eval_samples_per_second": 16.109, | |
| "eval_steps_per_second": 8.054, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8565269358832067, | |
| "eval_R1": 0.9882, | |
| "eval_R2": 0.9769, | |
| "eval_RL": 0.9872, | |
| "eval_RLsum": 0.9872, | |
| "eval_acc": 0.548, | |
| "eval_loss": 0.029164429754018784, | |
| "eval_runtime": 1451.5073, | |
| "eval_samples_per_second": 16.139, | |
| "eval_steps_per_second": 8.07, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8612225732092547, | |
| "eval_R1": 0.9887, | |
| "eval_R2": 0.9774, | |
| "eval_RL": 0.9875, | |
| "eval_RLsum": 0.9875, | |
| "eval_acc": 0.5511, | |
| "eval_loss": 0.02785548008978367, | |
| "eval_runtime": 1451.9513, | |
| "eval_samples_per_second": 16.134, | |
| "eval_steps_per_second": 8.067, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 0.8984375, | |
| "learning_rate": 4.975853046028485e-05, | |
| "loss": 0.0208, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_Final acc": 0.8587893793221207, | |
| "eval_R1": 0.9882, | |
| "eval_R2": 0.9766, | |
| "eval_RL": 0.987, | |
| "eval_RLsum": 0.9871, | |
| "eval_acc": 0.5564, | |
| "eval_loss": 0.028132641687989235, | |
| "eval_runtime": 1449.8904, | |
| "eval_samples_per_second": 16.157, | |
| "eval_steps_per_second": 8.079, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8593016306667804, | |
| "eval_R1": 0.9879, | |
| "eval_R2": 0.9759, | |
| "eval_RL": 0.9866, | |
| "eval_RLsum": 0.9867, | |
| "eval_acc": 0.5491, | |
| "eval_loss": 0.028305571526288986, | |
| "eval_runtime": 1451.1721, | |
| "eval_samples_per_second": 16.143, | |
| "eval_steps_per_second": 8.071, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8723213523435499, | |
| "eval_R1": 0.9887, | |
| "eval_R2": 0.9773, | |
| "eval_RL": 0.9876, | |
| "eval_RLsum": 0.9876, | |
| "eval_acc": 0.5382, | |
| "eval_loss": 0.029259830713272095, | |
| "eval_runtime": 1450.5589, | |
| "eval_samples_per_second": 16.15, | |
| "eval_steps_per_second": 8.075, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8727482284640997, | |
| "eval_R1": 0.9891, | |
| "eval_R2": 0.9779, | |
| "eval_RL": 0.9879, | |
| "eval_RLsum": 0.9879, | |
| "eval_acc": 0.5636, | |
| "eval_loss": 0.02689511515200138, | |
| "eval_runtime": 1453.2034, | |
| "eval_samples_per_second": 16.12, | |
| "eval_steps_per_second": 8.06, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8654913344147528, | |
| "eval_R1": 0.9886, | |
| "eval_R2": 0.9773, | |
| "eval_RL": 0.9875, | |
| "eval_RLsum": 0.9875, | |
| "eval_acc": 0.5658, | |
| "eval_loss": 0.02876410074532032, | |
| "eval_runtime": 1449.9472, | |
| "eval_samples_per_second": 16.156, | |
| "eval_steps_per_second": 8.078, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.439453125, | |
| "learning_rate": 4.973657868394711e-05, | |
| "loss": 0.0189, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8724921027917698, | |
| "eval_R1": 0.9888, | |
| "eval_R2": 0.9778, | |
| "eval_RL": 0.9878, | |
| "eval_RLsum": 0.9878, | |
| "eval_acc": 0.5667, | |
| "eval_loss": 0.027498234063386917, | |
| "eval_runtime": 1450.1339, | |
| "eval_samples_per_second": 16.154, | |
| "eval_steps_per_second": 8.077, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8678391530777768, | |
| "eval_R1": 0.9886, | |
| "eval_R2": 0.9777, | |
| "eval_RL": 0.9877, | |
| "eval_RLsum": 0.9877, | |
| "eval_acc": 0.5776, | |
| "eval_loss": 0.025310663506388664, | |
| "eval_runtime": 1451.0223, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8777426790745325, | |
| "eval_R1": 0.9893, | |
| "eval_R2": 0.9788, | |
| "eval_RL": 0.9884, | |
| "eval_RLsum": 0.9884, | |
| "eval_acc": 0.5735, | |
| "eval_loss": 0.026753507554531097, | |
| "eval_runtime": 1452.8789, | |
| "eval_samples_per_second": 16.124, | |
| "eval_steps_per_second": 8.062, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8771450525057628, | |
| "eval_R1": 0.9893, | |
| "eval_R2": 0.9788, | |
| "eval_RL": 0.9883, | |
| "eval_RLsum": 0.9883, | |
| "eval_acc": 0.5752, | |
| "eval_loss": 0.02651958540081978, | |
| "eval_runtime": 1461.0082, | |
| "eval_samples_per_second": 16.034, | |
| "eval_steps_per_second": 8.017, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8802185605737215, | |
| "eval_R1": 0.9889, | |
| "eval_R2": 0.9778, | |
| "eval_RL": 0.9879, | |
| "eval_RLsum": 0.9879, | |
| "eval_acc": 0.5708, | |
| "eval_loss": 0.025540869683027267, | |
| "eval_runtime": 1462.5119, | |
| "eval_samples_per_second": 16.018, | |
| "eval_steps_per_second": 8.009, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 0.74609375, | |
| "learning_rate": 4.971462690760937e-05, | |
| "loss": 0.0185, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8808588747545463, | |
| "eval_R1": 0.9892, | |
| "eval_R2": 0.9787, | |
| "eval_RL": 0.9883, | |
| "eval_RLsum": 0.9883, | |
| "eval_acc": 0.5713, | |
| "eval_loss": 0.02617293782532215, | |
| "eval_runtime": 1451.0746, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8802185605737215, | |
| "eval_R1": 0.9896, | |
| "eval_R2": 0.9793, | |
| "eval_RL": 0.9886, | |
| "eval_RLsum": 0.9887, | |
| "eval_acc": 0.5765, | |
| "eval_loss": 0.025828788056969643, | |
| "eval_runtime": 1452.1408, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_Final acc": 0.8950311619568001, | |
| "eval_R1": 0.9895, | |
| "eval_R2": 0.9793, | |
| "eval_RL": 0.9888, | |
| "eval_RLsum": 0.9888, | |
| "eval_acc": 0.5819, | |
| "eval_loss": 0.02496754750609398, | |
| "eval_runtime": 1453.5941, | |
| "eval_samples_per_second": 16.116, | |
| "eval_steps_per_second": 8.058, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8919149662767865, | |
| "eval_R1": 0.99, | |
| "eval_R2": 0.9798, | |
| "eval_RL": 0.989, | |
| "eval_RLsum": 0.989, | |
| "eval_acc": 0.5924, | |
| "eval_loss": 0.02453671582043171, | |
| "eval_runtime": 1450.8477, | |
| "eval_samples_per_second": 16.146, | |
| "eval_steps_per_second": 8.073, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8859387005890891, | |
| "eval_R1": 0.9898, | |
| "eval_R2": 0.9793, | |
| "eval_RL": 0.9887, | |
| "eval_RLsum": 0.9887, | |
| "eval_acc": 0.5839, | |
| "eval_loss": 0.025181995704770088, | |
| "eval_runtime": 1451.3926, | |
| "eval_samples_per_second": 16.14, | |
| "eval_steps_per_second": 8.07, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.58203125, | |
| "learning_rate": 4.9692675131271626e-05, | |
| "loss": 0.017, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8914880901562366, | |
| "eval_R1": 0.9903, | |
| "eval_R2": 0.9805, | |
| "eval_RL": 0.9895, | |
| "eval_RLsum": 0.9895, | |
| "eval_acc": 0.5802, | |
| "eval_loss": 0.025952670723199844, | |
| "eval_runtime": 1452.6528, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8896525228378724, | |
| "eval_R1": 0.9896, | |
| "eval_R2": 0.9795, | |
| "eval_RL": 0.9888, | |
| "eval_RLsum": 0.9888, | |
| "eval_acc": 0.5995, | |
| "eval_loss": 0.024223260581493378, | |
| "eval_runtime": 1452.818, | |
| "eval_samples_per_second": 16.125, | |
| "eval_steps_per_second": 8.062, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8901647741825323, | |
| "eval_R1": 0.9899, | |
| "eval_R2": 0.9802, | |
| "eval_RL": 0.9892, | |
| "eval_RLsum": 0.9892, | |
| "eval_acc": 0.5976, | |
| "eval_loss": 0.023528151214122772, | |
| "eval_runtime": 1450.7267, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8992999231622983, | |
| "eval_R1": 0.9896, | |
| "eval_R2": 0.9797, | |
| "eval_RL": 0.989, | |
| "eval_RLsum": 0.989, | |
| "eval_acc": 0.5917, | |
| "eval_loss": 0.024023424834012985, | |
| "eval_runtime": 1452.1557, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8960129770340647, | |
| "eval_R1": 0.99, | |
| "eval_R2": 0.98, | |
| "eval_RL": 0.9891, | |
| "eval_RLsum": 0.9891, | |
| "eval_acc": 0.6019, | |
| "eval_loss": 0.023717278614640236, | |
| "eval_runtime": 1450.9718, | |
| "eval_samples_per_second": 16.145, | |
| "eval_steps_per_second": 8.073, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.466796875, | |
| "learning_rate": 4.9670723354933884e-05, | |
| "loss": 0.0163, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8959276018099548, | |
| "eval_R1": 0.9896, | |
| "eval_R2": 0.979, | |
| "eval_RL": 0.9886, | |
| "eval_RLsum": 0.9886, | |
| "eval_acc": 0.5796, | |
| "eval_loss": 0.025336040183901787, | |
| "eval_runtime": 1448.595, | |
| "eval_samples_per_second": 16.172, | |
| "eval_steps_per_second": 8.086, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.8957995389737898, | |
| "eval_R1": 0.9901, | |
| "eval_R2": 0.9803, | |
| "eval_RL": 0.9893, | |
| "eval_RLsum": 0.9893, | |
| "eval_acc": 0.5992, | |
| "eval_loss": 0.024455588310956955, | |
| "eval_runtime": 1452.4703, | |
| "eval_samples_per_second": 16.128, | |
| "eval_steps_per_second": 8.064, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.9006659267480577, | |
| "eval_R1": 0.9898, | |
| "eval_R2": 0.9799, | |
| "eval_RL": 0.9891, | |
| "eval_RLsum": 0.9891, | |
| "eval_acc": 0.5939, | |
| "eval_loss": 0.025212198495864868, | |
| "eval_runtime": 1453.3691, | |
| "eval_samples_per_second": 16.118, | |
| "eval_steps_per_second": 8.059, | |
| "step": 10700 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_Final acc": 0.9012635533168275, | |
| "eval_R1": 0.9903, | |
| "eval_R2": 0.9805, | |
| "eval_RL": 0.9894, | |
| "eval_RLsum": 0.9894, | |
| "eval_acc": 0.6025, | |
| "eval_loss": 0.023420142009854317, | |
| "eval_runtime": 1451.8761, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.067, | |
| "step": 10800 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9087338854264493, | |
| "eval_R1": 0.9902, | |
| "eval_R2": 0.9804, | |
| "eval_RL": 0.9894, | |
| "eval_RLsum": 0.9894, | |
| "eval_acc": 0.6133, | |
| "eval_loss": 0.023686418309807777, | |
| "eval_runtime": 1451.2152, | |
| "eval_samples_per_second": 16.142, | |
| "eval_steps_per_second": 8.071, | |
| "step": 10900 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.53515625, | |
| "learning_rate": 4.964877157859614e-05, | |
| "loss": 0.015, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.8992999231622983, | |
| "eval_R1": 0.99, | |
| "eval_R2": 0.9799, | |
| "eval_RL": 0.9891, | |
| "eval_RLsum": 0.9891, | |
| "eval_acc": 0.604, | |
| "eval_loss": 0.024508416652679443, | |
| "eval_runtime": 1450.3538, | |
| "eval_samples_per_second": 16.152, | |
| "eval_steps_per_second": 8.076, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.8949457867326902, | |
| "eval_R1": 0.9905, | |
| "eval_R2": 0.9807, | |
| "eval_RL": 0.9895, | |
| "eval_RLsum": 0.9895, | |
| "eval_acc": 0.6036, | |
| "eval_loss": 0.023102611303329468, | |
| "eval_runtime": 1452.4964, | |
| "eval_samples_per_second": 16.128, | |
| "eval_steps_per_second": 8.064, | |
| "step": 11100 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9003671134636728, | |
| "eval_R1": 0.9906, | |
| "eval_R2": 0.9813, | |
| "eval_RL": 0.9898, | |
| "eval_RLsum": 0.9898, | |
| "eval_acc": 0.6195, | |
| "eval_loss": 0.025366883724927902, | |
| "eval_runtime": 1450.5915, | |
| "eval_samples_per_second": 16.149, | |
| "eval_steps_per_second": 8.075, | |
| "step": 11200 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.8933236574746009, | |
| "eval_R1": 0.9899, | |
| "eval_R2": 0.9799, | |
| "eval_RL": 0.9889, | |
| "eval_RLsum": 0.989, | |
| "eval_acc": 0.6119, | |
| "eval_loss": 0.024762660264968872, | |
| "eval_runtime": 1450.5609, | |
| "eval_samples_per_second": 16.15, | |
| "eval_steps_per_second": 8.075, | |
| "step": 11300 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9096730128916588, | |
| "eval_R1": 0.9905, | |
| "eval_R2": 0.9811, | |
| "eval_RL": 0.9897, | |
| "eval_RLsum": 0.9897, | |
| "eval_acc": 0.6061, | |
| "eval_loss": 0.023372193798422813, | |
| "eval_runtime": 1451.9756, | |
| "eval_samples_per_second": 16.134, | |
| "eval_steps_per_second": 8.067, | |
| "step": 11400 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 0.98046875, | |
| "learning_rate": 4.96268198022584e-05, | |
| "loss": 0.015, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9110390164774183, | |
| "eval_R1": 0.9904, | |
| "eval_R2": 0.9808, | |
| "eval_RL": 0.9896, | |
| "eval_RLsum": 0.9896, | |
| "eval_acc": 0.6084, | |
| "eval_loss": 0.022345341742038727, | |
| "eval_runtime": 1451.9936, | |
| "eval_samples_per_second": 16.134, | |
| "eval_steps_per_second": 8.067, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9126184581234525, | |
| "eval_R1": 0.9907, | |
| "eval_R2": 0.981, | |
| "eval_RL": 0.9898, | |
| "eval_RLsum": 0.9899, | |
| "eval_acc": 0.6209, | |
| "eval_loss": 0.021934418007731438, | |
| "eval_runtime": 1449.8533, | |
| "eval_samples_per_second": 16.157, | |
| "eval_steps_per_second": 8.079, | |
| "step": 11600 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9121915820029027, | |
| "eval_R1": 0.991, | |
| "eval_R2": 0.9818, | |
| "eval_RL": 0.9901, | |
| "eval_RLsum": 0.9902, | |
| "eval_acc": 0.6197, | |
| "eval_loss": 0.021505460143089294, | |
| "eval_runtime": 1450.5832, | |
| "eval_samples_per_second": 16.149, | |
| "eval_steps_per_second": 8.075, | |
| "step": 11700 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9144113378297618, | |
| "eval_R1": 0.9907, | |
| "eval_R2": 0.9814, | |
| "eval_RL": 0.9899, | |
| "eval_RLsum": 0.9899, | |
| "eval_acc": 0.6187, | |
| "eval_loss": 0.021871628239750862, | |
| "eval_runtime": 1451.8257, | |
| "eval_samples_per_second": 16.136, | |
| "eval_steps_per_second": 8.068, | |
| "step": 11800 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_Final acc": 0.9141978997694868, | |
| "eval_R1": 0.991, | |
| "eval_R2": 0.9819, | |
| "eval_RL": 0.9902, | |
| "eval_RLsum": 0.9902, | |
| "eval_acc": 0.6257, | |
| "eval_loss": 0.02094077877700329, | |
| "eval_runtime": 1463.4648, | |
| "eval_samples_per_second": 16.007, | |
| "eval_steps_per_second": 8.004, | |
| "step": 11900 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 0.23828125, | |
| "learning_rate": 4.960486802592066e-05, | |
| "loss": 0.0134, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9180824724664902, | |
| "eval_R1": 0.9906, | |
| "eval_R2": 0.9813, | |
| "eval_RL": 0.9899, | |
| "eval_RLsum": 0.9899, | |
| "eval_acc": 0.6147, | |
| "eval_loss": 0.021829580888152122, | |
| "eval_runtime": 1463.5331, | |
| "eval_samples_per_second": 16.006, | |
| "eval_steps_per_second": 8.003, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9104413899086485, | |
| "eval_R1": 0.9909, | |
| "eval_R2": 0.9817, | |
| "eval_RL": 0.9901, | |
| "eval_RLsum": 0.9901, | |
| "eval_acc": 0.6231, | |
| "eval_loss": 0.021953416988253593, | |
| "eval_runtime": 1459.3648, | |
| "eval_samples_per_second": 16.052, | |
| "eval_steps_per_second": 8.026, | |
| "step": 12100 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.911508580210023, | |
| "eval_R1": 0.9907, | |
| "eval_R2": 0.9814, | |
| "eval_RL": 0.9899, | |
| "eval_RLsum": 0.9899, | |
| "eval_acc": 0.6235, | |
| "eval_loss": 0.021894315257668495, | |
| "eval_runtime": 1463.2725, | |
| "eval_samples_per_second": 16.009, | |
| "eval_steps_per_second": 8.005, | |
| "step": 12200 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9195765388884146, | |
| "eval_R1": 0.9911, | |
| "eval_R2": 0.9821, | |
| "eval_RL": 0.9904, | |
| "eval_RLsum": 0.9904, | |
| "eval_acc": 0.6261, | |
| "eval_loss": 0.0205834973603487, | |
| "eval_runtime": 1450.6918, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 12300 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9150516520105866, | |
| "eval_R1": 0.9906, | |
| "eval_R2": 0.9815, | |
| "eval_RL": 0.99, | |
| "eval_RLsum": 0.99, | |
| "eval_acc": 0.6164, | |
| "eval_loss": 0.020932447165250778, | |
| "eval_runtime": 1450.9827, | |
| "eval_samples_per_second": 16.145, | |
| "eval_steps_per_second": 8.072, | |
| "step": 12400 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 1.828125, | |
| "learning_rate": 4.958291624958292e-05, | |
| "loss": 0.0129, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9190215999316999, | |
| "eval_R1": 0.9909, | |
| "eval_R2": 0.9821, | |
| "eval_RL": 0.9902, | |
| "eval_RLsum": 0.9902, | |
| "eval_acc": 0.6214, | |
| "eval_loss": 0.020663928240537643, | |
| "eval_runtime": 1450.2698, | |
| "eval_samples_per_second": 16.153, | |
| "eval_steps_per_second": 8.076, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9282848117476309, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9822, | |
| "eval_RL": 0.9905, | |
| "eval_RLsum": 0.9905, | |
| "eval_acc": 0.634, | |
| "eval_loss": 0.020196454599499702, | |
| "eval_runtime": 1449.7517, | |
| "eval_samples_per_second": 16.159, | |
| "eval_steps_per_second": 8.079, | |
| "step": 12600 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9266199948774866, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9823, | |
| "eval_RL": 0.9903, | |
| "eval_RLsum": 0.9904, | |
| "eval_acc": 0.6292, | |
| "eval_loss": 0.020464591681957245, | |
| "eval_runtime": 1450.6096, | |
| "eval_samples_per_second": 16.149, | |
| "eval_steps_per_second": 8.075, | |
| "step": 12700 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9174421582856656, | |
| "eval_R1": 0.9913, | |
| "eval_R2": 0.982, | |
| "eval_RL": 0.9903, | |
| "eval_RLsum": 0.9903, | |
| "eval_acc": 0.6388, | |
| "eval_loss": 0.019640225917100906, | |
| "eval_runtime": 1449.7946, | |
| "eval_samples_per_second": 16.158, | |
| "eval_steps_per_second": 8.079, | |
| "step": 12800 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9144967130538718, | |
| "eval_R1": 0.9905, | |
| "eval_R2": 0.981, | |
| "eval_RL": 0.9898, | |
| "eval_RLsum": 0.9898, | |
| "eval_acc": 0.6319, | |
| "eval_loss": 0.020924171432852745, | |
| "eval_runtime": 1450.2548, | |
| "eval_samples_per_second": 16.153, | |
| "eval_steps_per_second": 8.077, | |
| "step": 12900 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 0.59765625, | |
| "learning_rate": 4.956096447324517e-05, | |
| "loss": 0.0122, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9319986339964142, | |
| "eval_R1": 0.9909, | |
| "eval_R2": 0.9819, | |
| "eval_RL": 0.9903, | |
| "eval_RLsum": 0.9903, | |
| "eval_acc": 0.639, | |
| "eval_loss": 0.02068125642836094, | |
| "eval_runtime": 1450.1468, | |
| "eval_samples_per_second": 16.154, | |
| "eval_steps_per_second": 8.077, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "eval_Final acc": 0.9329377614616239, | |
| "eval_R1": 0.9909, | |
| "eval_R2": 0.9818, | |
| "eval_RL": 0.9903, | |
| "eval_RLsum": 0.9903, | |
| "eval_acc": 0.6378, | |
| "eval_loss": 0.02071656845510006, | |
| "eval_runtime": 1450.5848, | |
| "eval_samples_per_second": 16.149, | |
| "eval_steps_per_second": 8.075, | |
| "step": 13100 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9319132587723042, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9826, | |
| "eval_RL": 0.9907, | |
| "eval_RLsum": 0.9907, | |
| "eval_acc": 0.6419, | |
| "eval_loss": 0.020106444135308266, | |
| "eval_runtime": 1451.3754, | |
| "eval_samples_per_second": 16.141, | |
| "eval_steps_per_second": 8.07, | |
| "step": 13200 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9173567830615555, | |
| "eval_R1": 0.991, | |
| "eval_R2": 0.982, | |
| "eval_RL": 0.9904, | |
| "eval_RLsum": 0.9904, | |
| "eval_acc": 0.6347, | |
| "eval_loss": 0.0205816850066185, | |
| "eval_runtime": 1449.0746, | |
| "eval_samples_per_second": 16.166, | |
| "eval_steps_per_second": 8.083, | |
| "step": 13300 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9335780756424485, | |
| "eval_R1": 0.991, | |
| "eval_R2": 0.9822, | |
| "eval_RL": 0.9905, | |
| "eval_RLsum": 0.9906, | |
| "eval_acc": 0.6372, | |
| "eval_loss": 0.020543359220027924, | |
| "eval_runtime": 1449.6548, | |
| "eval_samples_per_second": 16.16, | |
| "eval_steps_per_second": 8.08, | |
| "step": 13400 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 0.27734375, | |
| "learning_rate": 4.953901269690744e-05, | |
| "loss": 0.0111, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.930205754290105, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9825, | |
| "eval_RL": 0.9907, | |
| "eval_RLsum": 0.9907, | |
| "eval_acc": 0.6448, | |
| "eval_loss": 0.019825078547000885, | |
| "eval_runtime": 1450.8026, | |
| "eval_samples_per_second": 16.147, | |
| "eval_steps_per_second": 8.073, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9357978314693076, | |
| "eval_R1": 0.9911, | |
| "eval_R2": 0.9821, | |
| "eval_RL": 0.9905, | |
| "eval_RLsum": 0.9905, | |
| "eval_acc": 0.645, | |
| "eval_loss": 0.020004283636808395, | |
| "eval_runtime": 1461.8559, | |
| "eval_samples_per_second": 16.025, | |
| "eval_steps_per_second": 8.012, | |
| "step": 13600 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9339195765388885, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9824, | |
| "eval_RL": 0.9905, | |
| "eval_RLsum": 0.9905, | |
| "eval_acc": 0.6342, | |
| "eval_loss": 0.020793380215764046, | |
| "eval_runtime": 1463.9178, | |
| "eval_samples_per_second": 16.002, | |
| "eval_steps_per_second": 8.001, | |
| "step": 13700 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9270468709980364, | |
| "eval_R1": 0.9909, | |
| "eval_R2": 0.9822, | |
| "eval_RL": 0.9904, | |
| "eval_RLsum": 0.9904, | |
| "eval_acc": 0.6307, | |
| "eval_loss": 0.02046465128660202, | |
| "eval_runtime": 1450.1003, | |
| "eval_samples_per_second": 16.155, | |
| "eval_steps_per_second": 8.077, | |
| "step": 13800 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9397677793904209, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9825, | |
| "eval_RL": 0.9907, | |
| "eval_RLsum": 0.9907, | |
| "eval_acc": 0.6438, | |
| "eval_loss": 0.01898295432329178, | |
| "eval_runtime": 1451.5667, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 13900 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 0.40234375, | |
| "learning_rate": 4.9517060920569696e-05, | |
| "loss": 0.011, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.923162298301033, | |
| "eval_R1": 0.9908, | |
| "eval_R2": 0.9817, | |
| "eval_RL": 0.9902, | |
| "eval_RLsum": 0.9902, | |
| "eval_acc": 0.6253, | |
| "eval_loss": 0.0198197178542614, | |
| "eval_runtime": 1450.2616, | |
| "eval_samples_per_second": 16.153, | |
| "eval_steps_per_second": 8.076, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9402800307350807, | |
| "eval_R1": 0.9913, | |
| "eval_R2": 0.9826, | |
| "eval_RL": 0.9907, | |
| "eval_RLsum": 0.9907, | |
| "eval_acc": 0.6412, | |
| "eval_loss": 0.019281338900327682, | |
| "eval_runtime": 1450.3797, | |
| "eval_samples_per_second": 16.152, | |
| "eval_steps_per_second": 8.076, | |
| "step": 14100 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_Final acc": 0.9471100486638777, | |
| "eval_R1": 0.9914, | |
| "eval_R2": 0.9829, | |
| "eval_RL": 0.9909, | |
| "eval_RLsum": 0.9909, | |
| "eval_acc": 0.6502, | |
| "eval_loss": 0.017984973266720772, | |
| "eval_runtime": 1452.0929, | |
| "eval_samples_per_second": 16.133, | |
| "eval_steps_per_second": 8.066, | |
| "step": 14200 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.944249978656194, | |
| "eval_R1": 0.9913, | |
| "eval_R2": 0.9828, | |
| "eval_RL": 0.9908, | |
| "eval_RLsum": 0.9908, | |
| "eval_acc": 0.6404, | |
| "eval_loss": 0.019001377746462822, | |
| "eval_runtime": 1451.6302, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 14300 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9420729104413899, | |
| "eval_R1": 0.9916, | |
| "eval_R2": 0.9832, | |
| "eval_RL": 0.991, | |
| "eval_RLsum": 0.991, | |
| "eval_acc": 0.6516, | |
| "eval_loss": 0.018046874552965164, | |
| "eval_runtime": 1453.4282, | |
| "eval_samples_per_second": 16.118, | |
| "eval_steps_per_second": 8.059, | |
| "step": 14400 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.35546875, | |
| "learning_rate": 4.9495109144231955e-05, | |
| "loss": 0.0107, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.94190215999317, | |
| "eval_R1": 0.9912, | |
| "eval_R2": 0.9827, | |
| "eval_RL": 0.9907, | |
| "eval_RLsum": 0.9907, | |
| "eval_acc": 0.6478, | |
| "eval_loss": 0.018823372200131416, | |
| "eval_runtime": 1451.0015, | |
| "eval_samples_per_second": 16.145, | |
| "eval_steps_per_second": 8.072, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9454452317937334, | |
| "eval_R1": 0.9913, | |
| "eval_R2": 0.9827, | |
| "eval_RL": 0.9908, | |
| "eval_RLsum": 0.9908, | |
| "eval_acc": 0.6468, | |
| "eval_loss": 0.0185859352350235, | |
| "eval_runtime": 1463.0333, | |
| "eval_samples_per_second": 16.012, | |
| "eval_steps_per_second": 8.006, | |
| "step": 14600 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9363100828139674, | |
| "eval_R1": 0.9915, | |
| "eval_R2": 0.983, | |
| "eval_RL": 0.9909, | |
| "eval_RLsum": 0.9909, | |
| "eval_acc": 0.6489, | |
| "eval_loss": 0.019154921174049377, | |
| "eval_runtime": 1451.3524, | |
| "eval_samples_per_second": 16.141, | |
| "eval_steps_per_second": 8.07, | |
| "step": 14700 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.94190215999317, | |
| "eval_R1": 0.9915, | |
| "eval_R2": 0.9831, | |
| "eval_RL": 0.9909, | |
| "eval_RLsum": 0.9909, | |
| "eval_acc": 0.6486, | |
| "eval_loss": 0.018625011667609215, | |
| "eval_runtime": 1450.9013, | |
| "eval_samples_per_second": 16.146, | |
| "eval_steps_per_second": 8.073, | |
| "step": 14800 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9416033467087851, | |
| "eval_R1": 0.9919, | |
| "eval_R2": 0.9839, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6491, | |
| "eval_loss": 0.019322440028190613, | |
| "eval_runtime": 1450.5226, | |
| "eval_samples_per_second": 16.15, | |
| "eval_steps_per_second": 8.075, | |
| "step": 14900 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.193359375, | |
| "learning_rate": 4.9473157367894214e-05, | |
| "loss": 0.0104, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.941944847605225, | |
| "eval_R1": 0.9917, | |
| "eval_R2": 0.9836, | |
| "eval_RL": 0.9912, | |
| "eval_RLsum": 0.9912, | |
| "eval_acc": 0.6556, | |
| "eval_loss": 0.017888953909277916, | |
| "eval_runtime": 1450.2096, | |
| "eval_samples_per_second": 16.154, | |
| "eval_steps_per_second": 8.077, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9384017758046614, | |
| "eval_R1": 0.9915, | |
| "eval_R2": 0.9832, | |
| "eval_RL": 0.991, | |
| "eval_RLsum": 0.991, | |
| "eval_acc": 0.6525, | |
| "eval_loss": 0.017996517941355705, | |
| "eval_runtime": 1457.0489, | |
| "eval_samples_per_second": 16.078, | |
| "eval_steps_per_second": 8.039, | |
| "step": 15100 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9480064885170324, | |
| "eval_R1": 0.9917, | |
| "eval_R2": 0.9835, | |
| "eval_RL": 0.9912, | |
| "eval_RLsum": 0.9912, | |
| "eval_acc": 0.6528, | |
| "eval_loss": 0.01767478697001934, | |
| "eval_runtime": 1462.9178, | |
| "eval_samples_per_second": 16.013, | |
| "eval_steps_per_second": 8.007, | |
| "step": 15200 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9430547255186544, | |
| "eval_R1": 0.9918, | |
| "eval_R2": 0.9835, | |
| "eval_RL": 0.9911, | |
| "eval_RLsum": 0.9911, | |
| "eval_acc": 0.6535, | |
| "eval_loss": 0.017685310915112495, | |
| "eval_runtime": 1450.3083, | |
| "eval_samples_per_second": 16.152, | |
| "eval_steps_per_second": 8.076, | |
| "step": 15300 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_Final acc": 0.9410910953641254, | |
| "eval_R1": 0.9915, | |
| "eval_R2": 0.9831, | |
| "eval_RL": 0.991, | |
| "eval_RLsum": 0.991, | |
| "eval_acc": 0.6514, | |
| "eval_loss": 0.017296113073825836, | |
| "eval_runtime": 1451.3492, | |
| "eval_samples_per_second": 16.141, | |
| "eval_steps_per_second": 8.07, | |
| "step": 15400 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.019775390625, | |
| "learning_rate": 4.945120559155647e-05, | |
| "loss": 0.0098, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9433108511909843, | |
| "eval_R1": 0.9914, | |
| "eval_R2": 0.9828, | |
| "eval_RL": 0.9908, | |
| "eval_RLsum": 0.9908, | |
| "eval_acc": 0.6579, | |
| "eval_loss": 0.017405711114406586, | |
| "eval_runtime": 1462.1068, | |
| "eval_samples_per_second": 16.022, | |
| "eval_steps_per_second": 8.011, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.944335353880304, | |
| "eval_R1": 0.9918, | |
| "eval_R2": 0.9835, | |
| "eval_RL": 0.9912, | |
| "eval_RLsum": 0.9912, | |
| "eval_acc": 0.6587, | |
| "eval_loss": 0.017218494787812233, | |
| "eval_runtime": 1449.9491, | |
| "eval_samples_per_second": 16.156, | |
| "eval_steps_per_second": 8.078, | |
| "step": 15600 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.948774865534022, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9838, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6619, | |
| "eval_loss": 0.016830172389745712, | |
| "eval_runtime": 1450.7441, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 15700 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9457440450781184, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9837, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6616, | |
| "eval_loss": 0.018399380147457123, | |
| "eval_runtime": 1462.926, | |
| "eval_samples_per_second": 16.013, | |
| "eval_steps_per_second": 8.007, | |
| "step": 15800 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9450610432852387, | |
| "eval_R1": 0.9916, | |
| "eval_R2": 0.9832, | |
| "eval_RL": 0.991, | |
| "eval_RLsum": 0.9911, | |
| "eval_acc": 0.6537, | |
| "eval_loss": 0.017210980877280235, | |
| "eval_runtime": 1450.764, | |
| "eval_samples_per_second": 16.147, | |
| "eval_steps_per_second": 8.074, | |
| "step": 15900 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.2490234375, | |
| "learning_rate": 4.942925381521873e-05, | |
| "loss": 0.0092, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9471954238879877, | |
| "eval_R1": 0.9917, | |
| "eval_R2": 0.9834, | |
| "eval_RL": 0.9911, | |
| "eval_RLsum": 0.9911, | |
| "eval_acc": 0.6601, | |
| "eval_loss": 0.016908491030335426, | |
| "eval_runtime": 1451.7265, | |
| "eval_samples_per_second": 16.137, | |
| "eval_steps_per_second": 8.068, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.946427046870998, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.984, | |
| "eval_RL": 0.9915, | |
| "eval_RLsum": 0.9915, | |
| "eval_acc": 0.6547, | |
| "eval_loss": 0.017686331644654274, | |
| "eval_runtime": 1451.0736, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 16100 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9481772389652523, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9839, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6649, | |
| "eval_loss": 0.016972754150629044, | |
| "eval_runtime": 1462.9166, | |
| "eval_samples_per_second": 16.013, | |
| "eval_steps_per_second": 8.007, | |
| "step": 16200 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9416033467087851, | |
| "eval_R1": 0.9921, | |
| "eval_R2": 0.984, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9915, | |
| "eval_acc": 0.6693, | |
| "eval_loss": 0.017500566318631172, | |
| "eval_runtime": 1452.1501, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 16300 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.948860240758132, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9838, | |
| "eval_RL": 0.9913, | |
| "eval_RLsum": 0.9913, | |
| "eval_acc": 0.6632, | |
| "eval_loss": 0.017114121466875076, | |
| "eval_runtime": 1460.939, | |
| "eval_samples_per_second": 16.035, | |
| "eval_steps_per_second": 8.017, | |
| "step": 16400 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 0.0016326904296875, | |
| "learning_rate": 4.940730203888099e-05, | |
| "loss": 0.0082, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "eval_Final acc": 0.9450610432852387, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9839, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6675, | |
| "eval_loss": 0.016872666776180267, | |
| "eval_runtime": 1452.1284, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9508665585247161, | |
| "eval_R1": 0.9919, | |
| "eval_R2": 0.9838, | |
| "eval_RL": 0.9914, | |
| "eval_RLsum": 0.9914, | |
| "eval_acc": 0.6604, | |
| "eval_loss": 0.017369089648127556, | |
| "eval_runtime": 1463.9971, | |
| "eval_samples_per_second": 16.001, | |
| "eval_steps_per_second": 8.001, | |
| "step": 16600 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9541535046529497, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9841, | |
| "eval_RL": 0.9915, | |
| "eval_RLsum": 0.9915, | |
| "eval_acc": 0.661, | |
| "eval_loss": 0.016900382936000824, | |
| "eval_runtime": 1462.7224, | |
| "eval_samples_per_second": 16.015, | |
| "eval_steps_per_second": 8.008, | |
| "step": 16700 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9528301886792453, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9841, | |
| "eval_RL": 0.9915, | |
| "eval_RLsum": 0.9916, | |
| "eval_acc": 0.6713, | |
| "eval_loss": 0.017047865316271782, | |
| "eval_runtime": 1463.7473, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 16800 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9502689319559464, | |
| "eval_R1": 0.9921, | |
| "eval_R2": 0.9841, | |
| "eval_RL": 0.9916, | |
| "eval_RLsum": 0.9916, | |
| "eval_acc": 0.6742, | |
| "eval_loss": 0.016844719648361206, | |
| "eval_runtime": 1462.0385, | |
| "eval_samples_per_second": 16.023, | |
| "eval_steps_per_second": 8.011, | |
| "step": 16900 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.19921875, | |
| "learning_rate": 4.938535026254324e-05, | |
| "loss": 0.0084, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.956031759583369, | |
| "eval_R1": 0.9921, | |
| "eval_R2": 0.9842, | |
| "eval_RL": 0.9916, | |
| "eval_RLsum": 0.9916, | |
| "eval_acc": 0.6706, | |
| "eval_loss": 0.016474982723593712, | |
| "eval_runtime": 1451.4334, | |
| "eval_samples_per_second": 16.14, | |
| "eval_steps_per_second": 8.07, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9571416374967985, | |
| "eval_R1": 0.9919, | |
| "eval_R2": 0.9837, | |
| "eval_RL": 0.9915, | |
| "eval_RLsum": 0.9915, | |
| "eval_acc": 0.6663, | |
| "eval_loss": 0.016770988702774048, | |
| "eval_runtime": 1451.201, | |
| "eval_samples_per_second": 16.142, | |
| "eval_steps_per_second": 8.071, | |
| "step": 17100 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9605993340732519, | |
| "eval_R1": 0.9922, | |
| "eval_R2": 0.9845, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9918, | |
| "eval_acc": 0.667, | |
| "eval_loss": 0.016466723755002022, | |
| "eval_runtime": 1451.1773, | |
| "eval_samples_per_second": 16.143, | |
| "eval_steps_per_second": 8.071, | |
| "step": 17200 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9587210791428328, | |
| "eval_R1": 0.9923, | |
| "eval_R2": 0.9845, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9918, | |
| "eval_acc": 0.6677, | |
| "eval_loss": 0.01687614992260933, | |
| "eval_runtime": 1464.9901, | |
| "eval_samples_per_second": 15.991, | |
| "eval_steps_per_second": 7.995, | |
| "step": 17300 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9598309570562623, | |
| "eval_R1": 0.9923, | |
| "eval_R2": 0.9845, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9918, | |
| "eval_acc": 0.6693, | |
| "eval_loss": 0.016489630565047264, | |
| "eval_runtime": 1459.8108, | |
| "eval_samples_per_second": 16.047, | |
| "eval_steps_per_second": 8.024, | |
| "step": 17400 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 0.271484375, | |
| "learning_rate": 4.936339848620551e-05, | |
| "loss": 0.0086, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9530009391274652, | |
| "eval_R1": 0.9921, | |
| "eval_R2": 0.9842, | |
| "eval_RL": 0.9916, | |
| "eval_RLsum": 0.9916, | |
| "eval_acc": 0.6529, | |
| "eval_loss": 0.017549073323607445, | |
| "eval_runtime": 1462.3921, | |
| "eval_samples_per_second": 16.019, | |
| "eval_steps_per_second": 8.009, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_Final acc": 0.9570989498847434, | |
| "eval_R1": 0.9922, | |
| "eval_R2": 0.9845, | |
| "eval_RL": 0.9917, | |
| "eval_RLsum": 0.9917, | |
| "eval_acc": 0.6663, | |
| "eval_loss": 0.01672600954771042, | |
| "eval_runtime": 1451.0259, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 17600 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9632032784086059, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.9849, | |
| "eval_RL": 0.992, | |
| "eval_RLsum": 0.992, | |
| "eval_acc": 0.6742, | |
| "eval_loss": 0.016187025234103203, | |
| "eval_runtime": 1452.7428, | |
| "eval_samples_per_second": 16.125, | |
| "eval_steps_per_second": 8.063, | |
| "step": 17700 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9606420216853069, | |
| "eval_R1": 0.9925, | |
| "eval_R2": 0.9851, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.6739, | |
| "eval_loss": 0.016911525279283524, | |
| "eval_runtime": 1462.6471, | |
| "eval_samples_per_second": 16.016, | |
| "eval_steps_per_second": 8.008, | |
| "step": 17800 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9603858960129771, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.9848, | |
| "eval_RL": 0.992, | |
| "eval_RLsum": 0.992, | |
| "eval_acc": 0.6718, | |
| "eval_loss": 0.015750443562865257, | |
| "eval_runtime": 1461.3035, | |
| "eval_samples_per_second": 16.031, | |
| "eval_steps_per_second": 8.015, | |
| "step": 17900 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.373046875, | |
| "learning_rate": 4.9341446709867766e-05, | |
| "loss": 0.0083, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.958166140186118, | |
| "eval_R1": 0.9923, | |
| "eval_R2": 0.9847, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9919, | |
| "eval_acc": 0.6733, | |
| "eval_loss": 0.015923548489809036, | |
| "eval_runtime": 1462.3367, | |
| "eval_samples_per_second": 16.02, | |
| "eval_steps_per_second": 8.01, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9608981473576368, | |
| "eval_R1": 0.9923, | |
| "eval_R2": 0.9846, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9918, | |
| "eval_acc": 0.6748, | |
| "eval_loss": 0.015872864052653313, | |
| "eval_runtime": 1462.417, | |
| "eval_samples_per_second": 16.019, | |
| "eval_steps_per_second": 8.009, | |
| "step": 18100 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9552633825663792, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.9847, | |
| "eval_RL": 0.9919, | |
| "eval_RLsum": 0.9919, | |
| "eval_acc": 0.6726, | |
| "eval_loss": 0.01545502059161663, | |
| "eval_runtime": 1465.9123, | |
| "eval_samples_per_second": 15.98, | |
| "eval_steps_per_second": 7.99, | |
| "step": 18200 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9608981473576368, | |
| "eval_R1": 0.9925, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.675, | |
| "eval_loss": 0.015620005317032337, | |
| "eval_runtime": 1463.6929, | |
| "eval_samples_per_second": 16.005, | |
| "eval_steps_per_second": 8.002, | |
| "step": 18300 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.960428583625032, | |
| "eval_R1": 0.9925, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.6786, | |
| "eval_loss": 0.015367608517408371, | |
| "eval_runtime": 1462.0373, | |
| "eval_samples_per_second": 16.023, | |
| "eval_steps_per_second": 8.011, | |
| "step": 18400 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.400390625, | |
| "learning_rate": 4.9319494933530025e-05, | |
| "loss": 0.0083, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9613677110902417, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9853, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6787, | |
| "eval_loss": 0.01588550955057144, | |
| "eval_runtime": 1464.8106, | |
| "eval_samples_per_second": 15.993, | |
| "eval_steps_per_second": 7.996, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9643558439340904, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9854, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6848, | |
| "eval_loss": 0.01595507375895977, | |
| "eval_runtime": 1451.6879, | |
| "eval_samples_per_second": 16.137, | |
| "eval_steps_per_second": 8.069, | |
| "step": 18600 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9656791599077947, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6849, | |
| "eval_loss": 0.01566305197775364, | |
| "eval_runtime": 1465.7513, | |
| "eval_samples_per_second": 15.982, | |
| "eval_steps_per_second": 7.991, | |
| "step": 18700 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_Final acc": 0.9619653376590114, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9853, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6763, | |
| "eval_loss": 0.015803711488842964, | |
| "eval_runtime": 1462.0691, | |
| "eval_samples_per_second": 16.022, | |
| "eval_steps_per_second": 8.011, | |
| "step": 18800 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9595748313839324, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9854, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6855, | |
| "eval_loss": 0.01540306955575943, | |
| "eval_runtime": 1468.5007, | |
| "eval_samples_per_second": 15.952, | |
| "eval_steps_per_second": 7.976, | |
| "step": 18900 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 0.1865234375, | |
| "learning_rate": 4.9297543157192284e-05, | |
| "loss": 0.0074, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9589345172031076, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9855, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6815, | |
| "eval_loss": 0.015605304390192032, | |
| "eval_runtime": 1461.1003, | |
| "eval_samples_per_second": 16.033, | |
| "eval_steps_per_second": 8.017, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9629898403483309, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6774, | |
| "eval_loss": 0.015724962577223778, | |
| "eval_runtime": 1451.6079, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 19100 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9646546572184752, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.6785, | |
| "eval_loss": 0.01578380912542343, | |
| "eval_runtime": 1463.3246, | |
| "eval_samples_per_second": 16.009, | |
| "eval_steps_per_second": 8.004, | |
| "step": 19200 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9619226500469563, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9854, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6812, | |
| "eval_loss": 0.01560690812766552, | |
| "eval_runtime": 1451.0867, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 19300 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9591479552633826, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.992, | |
| "eval_RLsum": 0.992, | |
| "eval_acc": 0.6785, | |
| "eval_loss": 0.015781858935952187, | |
| "eval_runtime": 1461.9851, | |
| "eval_samples_per_second": 16.023, | |
| "eval_steps_per_second": 8.012, | |
| "step": 19400 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.3515625, | |
| "learning_rate": 4.927559138085454e-05, | |
| "loss": 0.0075, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9643131563220353, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9854, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6828, | |
| "eval_loss": 0.015539612621068954, | |
| "eval_runtime": 1450.2843, | |
| "eval_samples_per_second": 16.153, | |
| "eval_steps_per_second": 8.076, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9615384615384616, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9853, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6776, | |
| "eval_loss": 0.01577220857143402, | |
| "eval_runtime": 1450.3034, | |
| "eval_samples_per_second": 16.152, | |
| "eval_steps_per_second": 8.076, | |
| "step": 19600 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.967600102450269, | |
| "eval_R1": 0.9925, | |
| "eval_R2": 0.9851, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6807, | |
| "eval_loss": 0.01566699519753456, | |
| "eval_runtime": 1462.0717, | |
| "eval_samples_per_second": 16.022, | |
| "eval_steps_per_second": 8.011, | |
| "step": 19700 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9692222317083582, | |
| "eval_R1": 0.9924, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.6781, | |
| "eval_loss": 0.01571837067604065, | |
| "eval_runtime": 1460.0425, | |
| "eval_samples_per_second": 16.045, | |
| "eval_steps_per_second": 8.022, | |
| "step": 19800 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_Final acc": 0.9638009049773756, | |
| "eval_R1": 0.9925, | |
| "eval_R2": 0.985, | |
| "eval_RL": 0.9921, | |
| "eval_RLsum": 0.9921, | |
| "eval_acc": 0.6783, | |
| "eval_loss": 0.015627918764948845, | |
| "eval_runtime": 1461.8926, | |
| "eval_samples_per_second": 16.024, | |
| "eval_steps_per_second": 8.012, | |
| "step": 19900 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.2470703125, | |
| "learning_rate": 4.92536396045168e-05, | |
| "loss": 0.0076, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9644412191582002, | |
| "eval_R1": 0.9922, | |
| "eval_R2": 0.9846, | |
| "eval_RL": 0.9918, | |
| "eval_RLsum": 0.9918, | |
| "eval_acc": 0.6752, | |
| "eval_loss": 0.015452449209988117, | |
| "eval_runtime": 1466.0438, | |
| "eval_samples_per_second": 15.979, | |
| "eval_steps_per_second": 7.99, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.958294203022283, | |
| "eval_R1": 0.992, | |
| "eval_R2": 0.9844, | |
| "eval_RL": 0.9917, | |
| "eval_RLsum": 0.9917, | |
| "eval_acc": 0.6706, | |
| "eval_loss": 0.01574222557246685, | |
| "eval_runtime": 1455.4379, | |
| "eval_samples_per_second": 16.095, | |
| "eval_steps_per_second": 8.048, | |
| "step": 20100 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9609408349696918, | |
| "eval_R1": 0.9923, | |
| "eval_R2": 0.9849, | |
| "eval_RL": 0.992, | |
| "eval_RLsum": 0.992, | |
| "eval_acc": 0.6742, | |
| "eval_loss": 0.014955781400203705, | |
| "eval_runtime": 1464.5448, | |
| "eval_samples_per_second": 15.995, | |
| "eval_steps_per_second": 7.998, | |
| "step": 20200 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9608554597455818, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9852, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6778, | |
| "eval_loss": 0.015123295597732067, | |
| "eval_runtime": 1470.0029, | |
| "eval_samples_per_second": 15.936, | |
| "eval_steps_per_second": 7.968, | |
| "step": 20300 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9660633484162896, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9853, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6779, | |
| "eval_loss": 0.014950262382626534, | |
| "eval_runtime": 1453.4102, | |
| "eval_samples_per_second": 16.118, | |
| "eval_steps_per_second": 8.059, | |
| "step": 20400 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.341796875, | |
| "learning_rate": 4.923168782817906e-05, | |
| "loss": 0.0072, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9644412191582002, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9852, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6775, | |
| "eval_loss": 0.015031445771455765, | |
| "eval_runtime": 1453.6013, | |
| "eval_samples_per_second": 16.116, | |
| "eval_steps_per_second": 8.058, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9700759839494578, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9855, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.683, | |
| "eval_loss": 0.01463630422949791, | |
| "eval_runtime": 1467.7451, | |
| "eval_samples_per_second": 15.961, | |
| "eval_steps_per_second": 7.98, | |
| "step": 20600 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9696917954409631, | |
| "eval_R1": 0.9926, | |
| "eval_R2": 0.9852, | |
| "eval_RL": 0.9922, | |
| "eval_RLsum": 0.9922, | |
| "eval_acc": 0.6795, | |
| "eval_loss": 0.014612710103392601, | |
| "eval_runtime": 1456.4539, | |
| "eval_samples_per_second": 16.084, | |
| "eval_steps_per_second": 8.042, | |
| "step": 20700 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9676427900623239, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9853, | |
| "eval_RL": 0.9923, | |
| "eval_RLsum": 0.9923, | |
| "eval_acc": 0.6751, | |
| "eval_loss": 0.014858444221317768, | |
| "eval_runtime": 1474.1963, | |
| "eval_samples_per_second": 15.891, | |
| "eval_steps_per_second": 7.945, | |
| "step": 20800 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9708016733543926, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9854, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6729, | |
| "eval_loss": 0.014847170561552048, | |
| "eval_runtime": 1467.518, | |
| "eval_samples_per_second": 15.963, | |
| "eval_steps_per_second": 7.982, | |
| "step": 20900 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 0.2353515625, | |
| "learning_rate": 4.920973605184131e-05, | |
| "loss": 0.0076, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9703747972338428, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6745, | |
| "eval_loss": 0.01479652151465416, | |
| "eval_runtime": 1472.683, | |
| "eval_samples_per_second": 15.907, | |
| "eval_steps_per_second": 7.954, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_Final acc": 0.9728079911209767, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9855, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6805, | |
| "eval_loss": 0.014527148567140102, | |
| "eval_runtime": 1467.6556, | |
| "eval_samples_per_second": 15.962, | |
| "eval_steps_per_second": 7.981, | |
| "step": 21100 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9738324938102962, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.9859, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6839, | |
| "eval_loss": 0.014385683462023735, | |
| "eval_runtime": 1456.2262, | |
| "eval_samples_per_second": 16.087, | |
| "eval_steps_per_second": 8.043, | |
| "step": 21200 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9712285494749424, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9924, | |
| "eval_RLsum": 0.9924, | |
| "eval_acc": 0.6847, | |
| "eval_loss": 0.014538643881678581, | |
| "eval_runtime": 1455.2082, | |
| "eval_samples_per_second": 16.098, | |
| "eval_steps_per_second": 8.049, | |
| "step": 21300 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9768633142662, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6839, | |
| "eval_loss": 0.014480886980891228, | |
| "eval_runtime": 1464.5231, | |
| "eval_samples_per_second": 15.996, | |
| "eval_steps_per_second": 7.998, | |
| "step": 21400 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.26171875, | |
| "learning_rate": 4.918778427550357e-05, | |
| "loss": 0.0074, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.974387432767011, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9855, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6786, | |
| "eval_loss": 0.014647131785750389, | |
| "eval_runtime": 1454.7879, | |
| "eval_samples_per_second": 16.103, | |
| "eval_steps_per_second": 8.051, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9725091778365919, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9858, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6848, | |
| "eval_loss": 0.01433196198195219, | |
| "eval_runtime": 1455.1142, | |
| "eval_samples_per_second": 16.099, | |
| "eval_steps_per_second": 8.05, | |
| "step": 21600 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9748569964996158, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.9859, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6846, | |
| "eval_loss": 0.014561287127435207, | |
| "eval_runtime": 1454.6349, | |
| "eval_samples_per_second": 16.104, | |
| "eval_steps_per_second": 8.052, | |
| "step": 21700 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9721676769401519, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6847, | |
| "eval_loss": 0.014359143562614918, | |
| "eval_runtime": 1468.7397, | |
| "eval_samples_per_second": 15.95, | |
| "eval_steps_per_second": 7.975, | |
| "step": 21800 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.974472807991121, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9859, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6841, | |
| "eval_loss": 0.01475589256733656, | |
| "eval_runtime": 1473.6914, | |
| "eval_samples_per_second": 15.896, | |
| "eval_steps_per_second": 7.948, | |
| "step": 21900 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.11962890625, | |
| "learning_rate": 4.916583249916584e-05, | |
| "loss": 0.0067, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9737471185861862, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9857, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6866, | |
| "eval_loss": 0.01425244938582182, | |
| "eval_runtime": 1469.1152, | |
| "eval_samples_per_second": 15.946, | |
| "eval_steps_per_second": 7.973, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9729787415691966, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6846, | |
| "eval_loss": 0.014375461265444756, | |
| "eval_runtime": 1465.8673, | |
| "eval_samples_per_second": 15.981, | |
| "eval_steps_per_second": 7.99, | |
| "step": 22100 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_Final acc": 0.9739605566464612, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9856, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6869, | |
| "eval_loss": 0.014116480015218258, | |
| "eval_runtime": 1467.7642, | |
| "eval_samples_per_second": 15.96, | |
| "eval_steps_per_second": 7.98, | |
| "step": 22200 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9754973106804405, | |
| "eval_R1": 0.9927, | |
| "eval_R2": 0.9857, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6877, | |
| "eval_loss": 0.014198748394846916, | |
| "eval_runtime": 1467.0445, | |
| "eval_samples_per_second": 15.968, | |
| "eval_steps_per_second": 7.984, | |
| "step": 22300 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9761376248612652, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9858, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.688, | |
| "eval_loss": 0.014363715425133705, | |
| "eval_runtime": 1467.5905, | |
| "eval_samples_per_second": 15.962, | |
| "eval_steps_per_second": 7.981, | |
| "step": 22400 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.263671875, | |
| "learning_rate": 4.9143880722828096e-05, | |
| "loss": 0.0068, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9769913771023649, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6934, | |
| "eval_loss": 0.014523769728839397, | |
| "eval_runtime": 1466.4197, | |
| "eval_samples_per_second": 15.975, | |
| "eval_steps_per_second": 7.987, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9765645009818151, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9858, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6859, | |
| "eval_loss": 0.013950865715742111, | |
| "eval_runtime": 1467.1214, | |
| "eval_samples_per_second": 15.967, | |
| "eval_steps_per_second": 7.984, | |
| "step": 22600 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9774609408349697, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6888, | |
| "eval_loss": 0.014014782384037971, | |
| "eval_runtime": 1465.5297, | |
| "eval_samples_per_second": 15.985, | |
| "eval_steps_per_second": 7.992, | |
| "step": 22700 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9723811150004269, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9857, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6854, | |
| "eval_loss": 0.013970132917165756, | |
| "eval_runtime": 1455.0288, | |
| "eval_samples_per_second": 16.1, | |
| "eval_steps_per_second": 8.05, | |
| "step": 22800 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9756253735166055, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6906, | |
| "eval_loss": 0.013664424419403076, | |
| "eval_runtime": 1465.5051, | |
| "eval_samples_per_second": 15.985, | |
| "eval_steps_per_second": 7.992, | |
| "step": 22900 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.08447265625, | |
| "learning_rate": 4.9121928946490354e-05, | |
| "loss": 0.0071, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9722530521642619, | |
| "eval_R1": 0.9928, | |
| "eval_R2": 0.9857, | |
| "eval_RL": 0.9925, | |
| "eval_RLsum": 0.9925, | |
| "eval_acc": 0.6858, | |
| "eval_loss": 0.013724473305046558, | |
| "eval_runtime": 1466.5841, | |
| "eval_samples_per_second": 15.973, | |
| "eval_steps_per_second": 7.987, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9757107487407154, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.9859, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6891, | |
| "eval_loss": 0.013421189039945602, | |
| "eval_runtime": 1464.274, | |
| "eval_samples_per_second": 15.998, | |
| "eval_steps_per_second": 7.999, | |
| "step": 23100 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9771621275505848, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6886, | |
| "eval_loss": 0.01364926714450121, | |
| "eval_runtime": 1456.3856, | |
| "eval_samples_per_second": 16.085, | |
| "eval_steps_per_second": 8.043, | |
| "step": 23200 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9768633142662, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6912, | |
| "eval_loss": 0.01379765011370182, | |
| "eval_runtime": 1454.6457, | |
| "eval_samples_per_second": 16.104, | |
| "eval_steps_per_second": 8.052, | |
| "step": 23300 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_Final acc": 0.9754546230683856, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.9858, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6875, | |
| "eval_loss": 0.013711774721741676, | |
| "eval_runtime": 1466.1836, | |
| "eval_samples_per_second": 15.978, | |
| "eval_steps_per_second": 7.989, | |
| "step": 23400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.1943359375, | |
| "learning_rate": 4.909997717015261e-05, | |
| "loss": 0.0061, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9769913771023649, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.9858, | |
| "eval_RL": 0.9926, | |
| "eval_RLsum": 0.9926, | |
| "eval_acc": 0.6913, | |
| "eval_loss": 0.01385662704706192, | |
| "eval_runtime": 1501.1497, | |
| "eval_samples_per_second": 15.605, | |
| "eval_steps_per_second": 7.803, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.978997694868949, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6932, | |
| "eval_loss": 0.01365965511649847, | |
| "eval_runtime": 1503.0888, | |
| "eval_samples_per_second": 15.585, | |
| "eval_steps_per_second": 7.793, | |
| "step": 23600 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9801075727823786, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6933, | |
| "eval_loss": 0.013601411134004593, | |
| "eval_runtime": 1492.6715, | |
| "eval_samples_per_second": 15.694, | |
| "eval_steps_per_second": 7.847, | |
| "step": 23700 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9786561939725091, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6903, | |
| "eval_loss": 0.013755897991359234, | |
| "eval_runtime": 1463.4758, | |
| "eval_samples_per_second": 16.007, | |
| "eval_steps_per_second": 8.004, | |
| "step": 23800 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9795953214377188, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6916, | |
| "eval_loss": 0.013785951770842075, | |
| "eval_runtime": 1460.93, | |
| "eval_samples_per_second": 16.035, | |
| "eval_steps_per_second": 8.017, | |
| "step": 23900 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.0849609375, | |
| "learning_rate": 4.907802539381487e-05, | |
| "loss": 0.0066, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.979253820541279, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6934, | |
| "eval_loss": 0.013886190950870514, | |
| "eval_runtime": 1462.5153, | |
| "eval_samples_per_second": 16.018, | |
| "eval_steps_per_second": 8.009, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9777597541193546, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6924, | |
| "eval_loss": 0.013507825322449207, | |
| "eval_runtime": 1453.2744, | |
| "eval_samples_per_second": 16.119, | |
| "eval_steps_per_second": 8.06, | |
| "step": 24100 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9795099462136088, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6921, | |
| "eval_loss": 0.013588870875537395, | |
| "eval_runtime": 1464.1469, | |
| "eval_samples_per_second": 16.0, | |
| "eval_steps_per_second": 8.0, | |
| "step": 24200 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9776316912831896, | |
| "eval_R1": 0.9929, | |
| "eval_R2": 0.986, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6898, | |
| "eval_loss": 0.013585035689175129, | |
| "eval_runtime": 1461.8917, | |
| "eval_samples_per_second": 16.024, | |
| "eval_steps_per_second": 8.012, | |
| "step": 24300 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9805771365149833, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6916, | |
| "eval_loss": 0.013763057999312878, | |
| "eval_runtime": 1463.0093, | |
| "eval_samples_per_second": 16.012, | |
| "eval_steps_per_second": 8.006, | |
| "step": 24400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 0.20703125, | |
| "learning_rate": 4.9056073617477124e-05, | |
| "loss": 0.0063, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_Final acc": 0.9798087594979937, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6887, | |
| "eval_loss": 0.01329925749450922, | |
| "eval_runtime": 1465.4449, | |
| "eval_samples_per_second": 15.986, | |
| "eval_steps_per_second": 7.993, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9804490736788184, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6927, | |
| "eval_loss": 0.013285613618791103, | |
| "eval_runtime": 1462.5507, | |
| "eval_samples_per_second": 16.017, | |
| "eval_steps_per_second": 8.009, | |
| "step": 24600 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9818150772645778, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6915, | |
| "eval_loss": 0.013250759802758694, | |
| "eval_runtime": 1461.3039, | |
| "eval_samples_per_second": 16.031, | |
| "eval_steps_per_second": 8.015, | |
| "step": 24700 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9810467002475881, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6916, | |
| "eval_loss": 0.013293116353452206, | |
| "eval_runtime": 1452.0946, | |
| "eval_samples_per_second": 16.133, | |
| "eval_steps_per_second": 8.066, | |
| "step": 24800 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9806625117390934, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6921, | |
| "eval_loss": 0.013502970337867737, | |
| "eval_runtime": 1462.0832, | |
| "eval_samples_per_second": 16.022, | |
| "eval_steps_per_second": 8.011, | |
| "step": 24900 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.1953125, | |
| "learning_rate": 4.903412184113938e-05, | |
| "loss": 0.0059, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9803210108426534, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6932, | |
| "eval_loss": 0.01366698369383812, | |
| "eval_runtime": 1460.4792, | |
| "eval_samples_per_second": 16.04, | |
| "eval_steps_per_second": 8.02, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9796380090497737, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6957, | |
| "eval_loss": 0.013300583697855473, | |
| "eval_runtime": 1449.798, | |
| "eval_samples_per_second": 16.158, | |
| "eval_steps_per_second": 8.079, | |
| "step": 25100 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9799795099462136, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.697, | |
| "eval_loss": 0.013188117183744907, | |
| "eval_runtime": 1452.5688, | |
| "eval_samples_per_second": 16.127, | |
| "eval_steps_per_second": 8.064, | |
| "step": 25200 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9822846409971826, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6916, | |
| "eval_loss": 0.013676137663424015, | |
| "eval_runtime": 1466.4976, | |
| "eval_samples_per_second": 15.974, | |
| "eval_steps_per_second": 7.987, | |
| "step": 25300 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9802783232305985, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6937, | |
| "eval_loss": 0.013502080924808979, | |
| "eval_runtime": 1468.8367, | |
| "eval_samples_per_second": 15.949, | |
| "eval_steps_per_second": 7.974, | |
| "step": 25400 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.27734375, | |
| "learning_rate": 4.901217006480164e-05, | |
| "loss": 0.0065, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9810467002475881, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6961, | |
| "eval_loss": 0.013518081977963448, | |
| "eval_runtime": 1463.973, | |
| "eval_samples_per_second": 16.002, | |
| "eval_steps_per_second": 8.001, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_Final acc": 0.9814735763681379, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6941, | |
| "eval_loss": 0.013471427373588085, | |
| "eval_runtime": 1454.3619, | |
| "eval_samples_per_second": 16.107, | |
| "eval_steps_per_second": 8.054, | |
| "step": 25600 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9799795099462136, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6939, | |
| "eval_loss": 0.013599563390016556, | |
| "eval_runtime": 1450.6791, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 25700 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9822846409971826, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6949, | |
| "eval_loss": 0.013590376824140549, | |
| "eval_runtime": 1452.6426, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 25800 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9819858277127977, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6904, | |
| "eval_loss": 0.01379045657813549, | |
| "eval_runtime": 1461.8335, | |
| "eval_samples_per_second": 16.025, | |
| "eval_steps_per_second": 8.013, | |
| "step": 25900 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 0.2275390625, | |
| "learning_rate": 4.899021828846391e-05, | |
| "loss": 0.0063, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9830530180141723, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6927, | |
| "eval_loss": 0.013356298208236694, | |
| "eval_runtime": 1452.8591, | |
| "eval_samples_per_second": 16.124, | |
| "eval_steps_per_second": 8.062, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9810040126355332, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6941, | |
| "eval_loss": 0.013375646434724331, | |
| "eval_runtime": 1451.5645, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 26100 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9822419533851277, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.6951, | |
| "eval_loss": 0.013354193419218063, | |
| "eval_runtime": 1450.6751, | |
| "eval_samples_per_second": 16.148, | |
| "eval_steps_per_second": 8.074, | |
| "step": 26200 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9815589515922479, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6925, | |
| "eval_loss": 0.013482308015227318, | |
| "eval_runtime": 1452.6613, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 26300 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.979168445317169, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6951, | |
| "eval_loss": 0.013421417213976383, | |
| "eval_runtime": 1461.2158, | |
| "eval_samples_per_second": 16.032, | |
| "eval_steps_per_second": 8.016, | |
| "step": 26400 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 0.2490234375, | |
| "learning_rate": 4.8968266512126166e-05, | |
| "loss": 0.0061, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9811747630837531, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6926, | |
| "eval_loss": 0.013355622068047523, | |
| "eval_runtime": 1463.7882, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9818150772645778, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.691, | |
| "eval_loss": 0.013367006555199623, | |
| "eval_runtime": 1452.3069, | |
| "eval_samples_per_second": 16.13, | |
| "eval_steps_per_second": 8.065, | |
| "step": 26600 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.981345513531973, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6916, | |
| "eval_loss": 0.013578394427895546, | |
| "eval_runtime": 1451.8922, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.067, | |
| "step": 26700 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_Final acc": 0.9811320754716981, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6907, | |
| "eval_loss": 0.013182532973587513, | |
| "eval_runtime": 1451.294, | |
| "eval_samples_per_second": 16.141, | |
| "eval_steps_per_second": 8.071, | |
| "step": 26800 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.979253820541279, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6953, | |
| "eval_loss": 0.013427864760160446, | |
| "eval_runtime": 1452.6694, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 26900 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 0.1435546875, | |
| "learning_rate": 4.8946314735788425e-05, | |
| "loss": 0.0065, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9783573806881243, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9861, | |
| "eval_RL": 0.9927, | |
| "eval_RLsum": 0.9927, | |
| "eval_acc": 0.6921, | |
| "eval_loss": 0.012859231792390347, | |
| "eval_runtime": 1452.2213, | |
| "eval_samples_per_second": 16.131, | |
| "eval_steps_per_second": 8.066, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9807051993511483, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6953, | |
| "eval_loss": 0.01281033270061016, | |
| "eval_runtime": 1452.6557, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 27100 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.978912319644839, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6935, | |
| "eval_loss": 0.013128886930644512, | |
| "eval_runtime": 1463.4582, | |
| "eval_samples_per_second": 16.007, | |
| "eval_steps_per_second": 8.004, | |
| "step": 27200 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9796806966618288, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6964, | |
| "eval_loss": 0.013543019071221352, | |
| "eval_runtime": 1452.6081, | |
| "eval_samples_per_second": 16.127, | |
| "eval_steps_per_second": 8.063, | |
| "step": 27300 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9782720054640144, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6947, | |
| "eval_loss": 0.01297728531062603, | |
| "eval_runtime": 1464.2327, | |
| "eval_samples_per_second": 15.999, | |
| "eval_steps_per_second": 7.999, | |
| "step": 27400 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 0.0008544921875, | |
| "learning_rate": 4.8924362959450684e-05, | |
| "loss": 0.006, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.978912319644839, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6931, | |
| "eval_loss": 0.012972823344171047, | |
| "eval_runtime": 1464.3665, | |
| "eval_samples_per_second": 15.997, | |
| "eval_steps_per_second": 7.999, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.979083070093059, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6966, | |
| "eval_loss": 0.012808305211365223, | |
| "eval_runtime": 1452.1504, | |
| "eval_samples_per_second": 16.132, | |
| "eval_steps_per_second": 8.066, | |
| "step": 27600 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9788269444207292, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6973, | |
| "eval_loss": 0.012933765538036823, | |
| "eval_runtime": 1450.4379, | |
| "eval_samples_per_second": 16.151, | |
| "eval_steps_per_second": 8.075, | |
| "step": 27700 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9800221975582686, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.695, | |
| "eval_loss": 0.013324824161827564, | |
| "eval_runtime": 1464.3177, | |
| "eval_samples_per_second": 15.998, | |
| "eval_steps_per_second": 7.999, | |
| "step": 27800 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_Final acc": 0.9780585674037394, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9862, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6966, | |
| "eval_loss": 0.012795492075383663, | |
| "eval_runtime": 1451.11, | |
| "eval_samples_per_second": 16.144, | |
| "eval_steps_per_second": 8.072, | |
| "step": 27900 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.0011749267578125, | |
| "learning_rate": 4.890241118311294e-05, | |
| "loss": 0.006, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9779305045675745, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6965, | |
| "eval_loss": 0.012530622072517872, | |
| "eval_runtime": 1451.3978, | |
| "eval_samples_per_second": 16.14, | |
| "eval_steps_per_second": 8.07, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9779731921796295, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.696, | |
| "eval_loss": 0.012704298831522465, | |
| "eval_runtime": 1469.1509, | |
| "eval_samples_per_second": 15.945, | |
| "eval_steps_per_second": 7.973, | |
| "step": 28100 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9779305045675745, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6971, | |
| "eval_loss": 0.012863822281360626, | |
| "eval_runtime": 1463.7862, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 28200 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.979253820541279, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6965, | |
| "eval_loss": 0.013012239709496498, | |
| "eval_runtime": 1463.1868, | |
| "eval_samples_per_second": 16.01, | |
| "eval_steps_per_second": 8.005, | |
| "step": 28300 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9778878169555195, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6995, | |
| "eval_loss": 0.01300707645714283, | |
| "eval_runtime": 1450.9666, | |
| "eval_samples_per_second": 16.145, | |
| "eval_steps_per_second": 8.073, | |
| "step": 28400 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.138671875, | |
| "learning_rate": 4.8880459406775195e-05, | |
| "loss": 0.0064, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9784000683001793, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6961, | |
| "eval_loss": 0.012779178097844124, | |
| "eval_runtime": 1464.5898, | |
| "eval_samples_per_second": 15.995, | |
| "eval_steps_per_second": 7.997, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.979083070093059, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6965, | |
| "eval_loss": 0.01298822183161974, | |
| "eval_runtime": 1450.7516, | |
| "eval_samples_per_second": 16.147, | |
| "eval_steps_per_second": 8.074, | |
| "step": 28600 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9778878169555195, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6986, | |
| "eval_loss": 0.01306883804500103, | |
| "eval_runtime": 1461.7899, | |
| "eval_samples_per_second": 16.026, | |
| "eval_steps_per_second": 8.013, | |
| "step": 28700 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.979083070093059, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6998, | |
| "eval_loss": 0.012865162454545498, | |
| "eval_runtime": 1463.6383, | |
| "eval_samples_per_second": 16.005, | |
| "eval_steps_per_second": 8.003, | |
| "step": 28800 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.979253820541279, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.7023, | |
| "eval_loss": 0.012838166207075119, | |
| "eval_runtime": 1464.7455, | |
| "eval_samples_per_second": 15.993, | |
| "eval_steps_per_second": 7.997, | |
| "step": 28900 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.2001953125, | |
| "learning_rate": 4.885850763043745e-05, | |
| "loss": 0.0063, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9783573806881243, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7012, | |
| "eval_loss": 0.012496843002736568, | |
| "eval_runtime": 1462.9544, | |
| "eval_samples_per_second": 16.013, | |
| "eval_steps_per_second": 8.006, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_Final acc": 0.9774609408349697, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6969, | |
| "eval_loss": 0.012720301747322083, | |
| "eval_runtime": 1463.6145, | |
| "eval_samples_per_second": 16.006, | |
| "eval_steps_per_second": 8.003, | |
| "step": 29100 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9784427559122343, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6981, | |
| "eval_loss": 0.012680739164352417, | |
| "eval_runtime": 1449.976, | |
| "eval_samples_per_second": 16.156, | |
| "eval_steps_per_second": 8.078, | |
| "step": 29200 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.978912319644839, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7006, | |
| "eval_loss": 0.01270331908017397, | |
| "eval_runtime": 1464.1018, | |
| "eval_samples_per_second": 16.0, | |
| "eval_steps_per_second": 8.0, | |
| "step": 29300 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9787842568086741, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9928, | |
| "eval_acc": 0.6978, | |
| "eval_loss": 0.012856976129114628, | |
| "eval_runtime": 1463.3902, | |
| "eval_samples_per_second": 16.008, | |
| "eval_steps_per_second": 8.004, | |
| "step": 29400 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 0.353515625, | |
| "learning_rate": 4.883655585409971e-05, | |
| "loss": 0.0057, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9802783232305985, | |
| "eval_R1": 0.993, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9928, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6993, | |
| "eval_loss": 0.012988944537937641, | |
| "eval_runtime": 1450.9054, | |
| "eval_samples_per_second": 16.146, | |
| "eval_steps_per_second": 8.073, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9792111329292239, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.7013, | |
| "eval_loss": 0.012645288370549679, | |
| "eval_runtime": 1450.3308, | |
| "eval_samples_per_second": 16.152, | |
| "eval_steps_per_second": 8.076, | |
| "step": 29600 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9778878169555195, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6983, | |
| "eval_loss": 0.012678520753979683, | |
| "eval_runtime": 1463.3974, | |
| "eval_samples_per_second": 16.008, | |
| "eval_steps_per_second": 8.004, | |
| "step": 29700 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9792965081533339, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6974, | |
| "eval_loss": 0.012662285938858986, | |
| "eval_runtime": 1463.9507, | |
| "eval_samples_per_second": 16.002, | |
| "eval_steps_per_second": 8.001, | |
| "step": 29800 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9781866302399044, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7025, | |
| "eval_loss": 0.012851212173700333, | |
| "eval_runtime": 1451.8736, | |
| "eval_samples_per_second": 16.135, | |
| "eval_steps_per_second": 8.068, | |
| "step": 29900 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 0.287109375, | |
| "learning_rate": 4.881460407776198e-05, | |
| "loss": 0.0061, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.979168445317169, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7001, | |
| "eval_loss": 0.012811372056603432, | |
| "eval_runtime": 1454.3297, | |
| "eval_samples_per_second": 16.108, | |
| "eval_steps_per_second": 8.054, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9784000683001793, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6973, | |
| "eval_loss": 0.013009893707931042, | |
| "eval_runtime": 1462.9574, | |
| "eval_samples_per_second": 16.013, | |
| "eval_steps_per_second": 8.006, | |
| "step": 30100 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "eval_Final acc": 0.9794245709894989, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.6999, | |
| "eval_loss": 0.013131324201822281, | |
| "eval_runtime": 1463.0724, | |
| "eval_samples_per_second": 16.012, | |
| "eval_steps_per_second": 8.006, | |
| "step": 30200 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9785281311363442, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6985, | |
| "eval_loss": 0.01299890037626028, | |
| "eval_runtime": 1451.5078, | |
| "eval_samples_per_second": 16.139, | |
| "eval_steps_per_second": 8.07, | |
| "step": 30300 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9811320754716981, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.6985, | |
| "eval_loss": 0.013059684075415134, | |
| "eval_runtime": 1451.6354, | |
| "eval_samples_per_second": 16.138, | |
| "eval_steps_per_second": 8.069, | |
| "step": 30400 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 0.1787109375, | |
| "learning_rate": 4.8792652301424237e-05, | |
| "loss": 0.0058, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9817723896525229, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9868, | |
| "eval_RL": 0.9932, | |
| "eval_RLsum": 0.9932, | |
| "eval_acc": 0.7025, | |
| "eval_loss": 0.013005061075091362, | |
| "eval_runtime": 1452.6582, | |
| "eval_samples_per_second": 16.126, | |
| "eval_steps_per_second": 8.063, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9793818833774439, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7, | |
| "eval_loss": 0.013058282434940338, | |
| "eval_runtime": 1466.8192, | |
| "eval_samples_per_second": 15.971, | |
| "eval_steps_per_second": 7.985, | |
| "step": 30600 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9805771365149833, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9863, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6975, | |
| "eval_loss": 0.01274099387228489, | |
| "eval_runtime": 1462.5234, | |
| "eval_samples_per_second": 16.018, | |
| "eval_steps_per_second": 8.009, | |
| "step": 30700 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.983821395031162, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.6988, | |
| "eval_loss": 0.012721989303827286, | |
| "eval_runtime": 1466.802, | |
| "eval_samples_per_second": 15.971, | |
| "eval_steps_per_second": 7.985, | |
| "step": 30800 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9820285153248527, | |
| "eval_R1": 0.9931, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6978, | |
| "eval_loss": 0.012523257173597813, | |
| "eval_runtime": 1450.487, | |
| "eval_samples_per_second": 16.15, | |
| "eval_steps_per_second": 8.075, | |
| "step": 30900 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 0.474609375, | |
| "learning_rate": 4.8770700525086495e-05, | |
| "loss": 0.0062, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9830530180141723, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7006, | |
| "eval_loss": 0.012635809369385242, | |
| "eval_runtime": 1461.9373, | |
| "eval_samples_per_second": 16.024, | |
| "eval_steps_per_second": 8.012, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9840775207034919, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.6982, | |
| "eval_loss": 0.012647534720599651, | |
| "eval_runtime": 1453.2223, | |
| "eval_samples_per_second": 16.12, | |
| "eval_steps_per_second": 8.06, | |
| "step": 31100 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9824980790574576, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7008, | |
| "eval_loss": 0.012633519247174263, | |
| "eval_runtime": 1469.198, | |
| "eval_samples_per_second": 15.945, | |
| "eval_steps_per_second": 7.972, | |
| "step": 31200 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9849739605566464, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.702, | |
| "eval_loss": 0.012578523717820644, | |
| "eval_runtime": 1462.7782, | |
| "eval_samples_per_second": 16.015, | |
| "eval_steps_per_second": 8.007, | |
| "step": 31300 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "eval_Final acc": 0.9835225817467771, | |
| "eval_R1": 0.9934, | |
| "eval_R2": 0.9869, | |
| "eval_RL": 0.9932, | |
| "eval_RLsum": 0.9933, | |
| "eval_acc": 0.7041, | |
| "eval_loss": 0.012371215969324112, | |
| "eval_runtime": 1469.2878, | |
| "eval_samples_per_second": 15.944, | |
| "eval_steps_per_second": 7.972, | |
| "step": 31400 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.287109375, | |
| "learning_rate": 4.8748748748748754e-05, | |
| "loss": 0.0059, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9830957056262273, | |
| "eval_R1": 0.9934, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9932, | |
| "eval_acc": 0.699, | |
| "eval_loss": 0.01243219617754221, | |
| "eval_runtime": 1463.0593, | |
| "eval_samples_per_second": 16.012, | |
| "eval_steps_per_second": 8.006, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9827968923418424, | |
| "eval_R1": 0.9933, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.7031, | |
| "eval_loss": 0.012519530951976776, | |
| "eval_runtime": 1462.521, | |
| "eval_samples_per_second": 16.018, | |
| "eval_steps_per_second": 8.009, | |
| "step": 31600 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9831383932382822, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9864, | |
| "eval_RL": 0.9929, | |
| "eval_RLsum": 0.9929, | |
| "eval_acc": 0.7005, | |
| "eval_loss": 0.012659478932619095, | |
| "eval_runtime": 1460.6217, | |
| "eval_samples_per_second": 16.038, | |
| "eval_steps_per_second": 8.019, | |
| "step": 31700 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9834798941347221, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9865, | |
| "eval_RL": 0.993, | |
| "eval_RLsum": 0.993, | |
| "eval_acc": 0.7009, | |
| "eval_loss": 0.012534371577203274, | |
| "eval_runtime": 1461.887, | |
| "eval_samples_per_second": 16.024, | |
| "eval_steps_per_second": 8.012, | |
| "step": 31800 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.983650644582942, | |
| "eval_R1": 0.9932, | |
| "eval_R2": 0.9866, | |
| "eval_RL": 0.9931, | |
| "eval_RLsum": 0.9931, | |
| "eval_acc": 0.6986, | |
| "eval_loss": 0.012843219563364983, | |
| "eval_runtime": 1463.7915, | |
| "eval_samples_per_second": 16.004, | |
| "eval_steps_per_second": 8.002, | |
| "step": 31900 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.361328125, | |
| "learning_rate": 4.872679697241101e-05, | |
| "loss": 0.0058, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9846324596602066, | |
| "eval_R1": 0.9934, | |
| "eval_R2": 0.9867, | |
| "eval_RL": 0.9932, | |
| "eval_RLsum": 0.9932, | |
| "eval_acc": 0.6988, | |
| "eval_loss": 0.0125523516908288, | |
| "eval_runtime": 1461.815, | |
| "eval_samples_per_second": 16.025, | |
| "eval_steps_per_second": 8.013, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_Final acc": 0.9843336463758218, | |
| "eval_R1": 0.9934, | |
| "eval_R2": 0.9868, | |
| "eval_RL": 0.9932, | |
| "eval_RLsum": 0.9932, | |
| "eval_acc": 0.7014, | |
| "eval_loss": 0.012504671700298786, | |
| "eval_runtime": 1467.3939, | |
| "eval_samples_per_second": 15.964, | |
| "eval_steps_per_second": 7.982, | |
| "step": 32100 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1141860, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 300, | |
| "total_flos": 2.663546147578921e+18, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |