| { |
| "metrics_history": [ |
| { |
| "epoch": 0.3252032520325203, |
| "global_step": 2000, |
| "eval_loss": 1.1127451658248901, |
| "eval_cosine_accuracy": 0.9593281149864197 |
| }, |
| { |
| "epoch": 0.6504065040650406, |
| "global_step": 4000, |
| "eval_loss": 1.0243772268295288, |
| "eval_cosine_accuracy": 0.9611240029335022 |
| }, |
| { |
| "epoch": 0.975609756097561, |
| "global_step": 6000, |
| "eval_loss": 1.2680829763412476, |
| "eval_cosine_accuracy": 0.9347137212753296 |
| }, |
| { |
| "epoch": 1.3004222150048717, |
| "global_step": 8000, |
| "eval_loss": 0.9284058809280396, |
| "eval_cosine_accuracy": 0.9691527485847473 |
| }, |
| { |
| "epoch": 1.6252029879831114, |
| "global_step": 10000, |
| "eval_loss": 0.9048501253128052, |
| "eval_cosine_accuracy": 0.9725332856178284 |
| }, |
| { |
| "epoch": 1.949983760961351, |
| "global_step": 12000, |
| "eval_loss": 0.8864583373069763, |
| "eval_cosine_accuracy": 0.9724276065826416 |
| }, |
| { |
| "epoch": 2.2747645339395905, |
| "global_step": 14000, |
| "eval_loss": 0.8774275183677673, |
| "eval_cosine_accuracy": 0.9729558229446411 |
| }, |
| { |
| "epoch": 2.5995453069178307, |
| "global_step": 16000, |
| "eval_loss": 0.8737779855728149, |
| "eval_cosine_accuracy": 0.9735897183418274 |
| }, |
| { |
| "epoch": 2.92432607989607, |
| "global_step": 18000, |
| "eval_loss": 0.8774468898773193, |
| "eval_cosine_accuracy": 0.9736953377723694 |
| }, |
| { |
| "epoch": 3.2491068528743097, |
| "global_step": 20000, |
| "eval_loss": 0.8695548176765442, |
| "eval_cosine_accuracy": 0.9745404720306396 |
| }, |
| { |
| "epoch": 3.5738876258525494, |
| "global_step": 22000, |
| "eval_loss": 0.8679282069206238, |
| "eval_cosine_accuracy": 0.9743291735649109 |
| }, |
| { |
| "epoch": 3.898668398830789, |
| "global_step": 24000, |
| "eval_loss": 0.8661763072013855, |
| "eval_cosine_accuracy": 0.9745404720306396 |
| } |
| ], |
| "total_epochs": 3.996102630724261, |
| "total_steps": 24600 |
| } |
