Update training logs at step 3000

training_logs.jsonl

@@ -125,3 +125,5 @@
 {"step": 2975, "epoch": 1.8769716088328074, "time": "2026-07-08 22:51:46", "logs": {"loss": 0.04033580780029297, "grad_norm": 0.31234487891197205, "learning_rate": 1.2787055872533867e-05, "epoch": 1.8769716088328074}}
 {"step": 3000, "epoch": 1.8927444794952681, "time": "2026-07-08 22:52:09", "logs": {"loss": 0.07418310165405273, "grad_norm": 2.878502368927002, "learning_rate": 1.2654605705980394e-05, "epoch": 1.8927444794952681}}
 {"step": 3000, "epoch": 1.8927444794952681, "time": "2026-07-08 22:53:05", "logs": {"eval_loss": 0.09431762993335724, "eval_accuracy": 0.9823343848580441, "eval_precision": 0.9716224552745218, "eval_recall": 0.9936908517350158, "eval_f1": 0.982532751091703, "eval_runtime": 55.9884, "eval_samples_per_second": 56.619, "eval_steps_per_second": 3.554, "epoch": 1.8927444794952681}}
+{"step": 3000, "epoch": 1.8927444794952681, "time": "2026-07-08 22:53:20", "logs": {"train_runtime": 3136.8433, "train_samples_per_second": 32.331, "train_steps_per_second": 2.021, "total_flos": 1.257414311341824e+16, "train_loss": 0.10879098949829738, "epoch": 1.8927444794952681}}
+{"step": 3000, "epoch": 1.8927444794952681, "time": "2026-07-08 22:54:17", "logs": {"eval_loss": 0.0678657591342926, "eval_accuracy": 0.9832807570977918, "eval_precision": 0.974009900990099, "eval_recall": 0.9930599369085173, "eval_f1": 0.9834426741643236, "eval_runtime": 56.4471, "eval_samples_per_second": 56.159, "eval_steps_per_second": 3.525, "epoch": 1.8927444794952681}}