{
  "metrics_history": [
    {
      "epoch": 0.37369207772795215,
      "global_step": 2000,
      "eval_loss": 0.6547648310661316,
      "eval_cosine_accuracy": 0.9478693008422852
    },
    {
      "epoch": 0.7473841554559043,
      "global_step": 4000,
      "eval_loss": 0.6020370125770569,
      "eval_cosine_accuracy": 0.9560114145278931
    },
    {
      "epoch": 1.1209406494960805,
      "global_step": 6000,
      "eval_loss": 0.5424520373344421,
      "eval_cosine_accuracy": 0.9614042639732361
    },
    {
      "epoch": 1.494214259051885,
      "global_step": 8000,
      "eval_loss": 0.5090284943580627,
      "eval_cosine_accuracy": 0.9647879600524902
    },
    {
      "epoch": 1.8674878686076894,
      "global_step": 10000,
      "eval_loss": 0.49018391966819763,
      "eval_cosine_accuracy": 0.9671143293380737
    },
    {
      "epoch": 2.2407614781634937,
      "global_step": 12000,
      "eval_loss": 0.470833420753479,
      "eval_cosine_accuracy": 0.9681717157363892
    },
    {
      "epoch": 2.6140350877192984,
      "global_step": 14000,
      "eval_loss": 0.46819552779197693,
      "eval_cosine_accuracy": 0.9697578549385071
    },
    {
      "epoch": 2.9873086972751026,
      "global_step": 16000,
      "eval_loss": 0.45708727836608887,
      "eval_cosine_accuracy": 0.9698635935783386
    },
    {
      "epoch": 3.360582306830907,
      "global_step": 18000,
      "eval_loss": 0.4576634466648102,
      "eval_cosine_accuracy": 0.969546377658844
    },
    {
      "epoch": 3.7338559163867115,
      "global_step": 20000,
      "eval_loss": 0.45518648624420166,
      "eval_cosine_accuracy": 0.9701808094978333
    }
  ],
  "total_epochs": 3.996640537513998,
  "total_steps": 21408
}