| { |
| "metrics_history": [ |
| { |
| "epoch": 0.42118563756975885, |
| "global_step": 2000, |
| "eval_loss": 0.70719313621521, |
| "eval_cosine_accuracy": 0.9467061161994934 |
| }, |
| { |
| "epoch": 0.8423712751395177, |
| "global_step": 4000, |
| "eval_loss": 0.6832706928253174, |
| "eval_cosine_accuracy": 0.947446346282959 |
| }, |
| { |
| "epoch": 1.2632298790110468, |
| "global_step": 6000, |
| "eval_loss": 0.6657891273498535, |
| "eval_cosine_accuracy": 0.9527333974838257 |
| }, |
| { |
| "epoch": 1.6840610205155182, |
| "global_step": 8000, |
| "eval_loss": 0.6694506406784058, |
| "eval_cosine_accuracy": 0.9556941986083984 |
| }, |
| { |
| "epoch": 2.1047869542346134, |
| "global_step": 10000, |
| "eval_loss": 0.6313222646713257, |
| "eval_cosine_accuracy": 0.959395170211792 |
| }, |
| { |
| "epoch": 2.525618095739085, |
| "global_step": 12000, |
| "eval_loss": 0.5995237827301025, |
| "eval_cosine_accuracy": 0.9608755707740784 |
| }, |
| { |
| "epoch": 2.946449237243556, |
| "global_step": 14000, |
| "eval_loss": 0.5910899043083191, |
| "eval_cosine_accuracy": 0.9616157412528992 |
| }, |
| { |
| "epoch": 3.367175170962651, |
| "global_step": 16000, |
| "eval_loss": 0.5799629092216492, |
| "eval_cosine_accuracy": 0.9633076190948486 |
| }, |
| { |
| "epoch": 3.7880063124671226, |
| "global_step": 18000, |
| "eval_loss": 0.5834744572639465, |
| "eval_cosine_accuracy": 0.9638363122940063 |
| }, |
| { |
| "epoch": 4.2087322461862176, |
| "global_step": 20000, |
| "eval_loss": 0.5751084089279175, |
| "eval_cosine_accuracy": 0.9642592668533325 |
| }, |
| { |
| "epoch": 4.629563387690689, |
| "global_step": 22000, |
| "eval_loss": 0.5725743174552917, |
| "eval_cosine_accuracy": 0.9646822214126587 |
| } |
| ], |
| "total_epochs": 4.99673855865334, |
| "total_steps": 23745 |
| } |