{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 486,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_Claim": {
        "f1-score": 0.4888068880688806,
        "precision": 0.6228840125391849,
        "recall": 0.40222672064777326,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.7325278370054489,
        "precision": 0.7604525332021643,
        "recall": 0.706581352833638,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.8634848138844484,
        "precision": 0.827613377692173,
        "recall": 0.902606702950444,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8792819197655248,
        "precision": 0.8543458914268763,
        "recall": 0.9057173407132524,
        "support": 15899.0
      },
      "eval_accuracy": 0.8174925373134329,
      "eval_loss": 0.49806877970695496,
      "eval_macro avg": {
        "f1-score": 0.7410253646810757,
        "precision": 0.7663239537150996,
        "recall": 0.7292830292862769,
        "support": 33500.0
      },
      "eval_runtime": 4.9194,
      "eval_samples_per_second": 16.465,
      "eval_steps_per_second": 2.236,
      "eval_weighted avg": {
        "f1-score": 0.8071778099281224,
        "precision": 0.80572410140167,
        "recall": 0.8174925373134329,
        "support": 33500.0
      },
      "step": 81
    },
    {
      "epoch": 2.0,
      "eval_Claim": {
        "f1-score": 0.5993816254416962,
        "precision": 0.6593780369290574,
        "recall": 0.5493927125506073,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.8017817371937639,
        "precision": 0.7197382769901853,
        "recall": 0.9049360146252285,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.9058997050147494,
        "precision": 0.9337184554575859,
        "recall": 0.8796906330564308,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8854737486606459,
        "precision": 0.862579028987236,
        "recall": 0.9096169570413234,
        "support": 15899.0
      },
      "eval_accuracy": 0.8468358208955223,
      "eval_loss": 0.4562840759754181,
      "eval_macro avg": {
        "f1-score": 0.7981342040777137,
        "precision": 0.7938534495910161,
        "recall": 0.8109090793183975,
        "support": 33500.0
      },
      "eval_runtime": 4.904,
      "eval_samples_per_second": 16.517,
      "eval_steps_per_second": 2.243,
      "eval_weighted avg": {
        "f1-score": 0.8442053257085675,
        "precision": 0.8455251408465503,
        "recall": 0.8468358208955223,
        "support": 33500.0
      },
      "step": 162
    },
    {
      "epoch": 3.0,
      "eval_Claim": {
        "f1-score": 0.6235462150581514,
        "precision": 0.6285479226655697,
        "recall": 0.6186234817813765,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.8338848444738584,
        "precision": 0.8059701492537313,
        "recall": 0.8638025594149908,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.9066250826953974,
        "precision": 0.8974646833193002,
        "recall": 0.9159744103886184,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8827730692315017,
        "precision": 0.8911176621379133,
        "recall": 0.8745833071262343,
        "support": 15899.0
      },
      "eval_accuracy": 0.8490746268656716,
      "eval_loss": 0.43820467591285706,
      "eval_macro avg": {
        "f1-score": 0.8117073028647273,
        "precision": 0.8057751043441286,
        "recall": 0.818245939677805,
        "support": 33500.0
      },
      "eval_runtime": 4.9179,
      "eval_samples_per_second": 16.47,
      "eval_steps_per_second": 2.237,
      "eval_weighted avg": {
        "f1-score": 0.8488105033097496,
        "precision": 0.8488213959184715,
        "recall": 0.8490746268656716,
        "support": 33500.0
      },
      "step": 243
    },
    {
      "epoch": 4.0,
      "eval_Claim": {
        "f1-score": 0.6415287144900879,
        "precision": 0.6477507222451506,
        "recall": 0.6354251012145749,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.8005126014523707,
        "precision": 0.7514033680834001,
        "recall": 0.856489945155393,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.9065169636319258,
        "precision": 0.9273871354374751,
        "recall": 0.8865654540246348,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8932505382719131,
        "precision": 0.8863636363636364,
        "recall": 0.9002452984464432,
        "support": 15899.0
      },
      "eval_accuracy": 0.8540597014925373,
      "eval_loss": 0.4749625325202942,
      "eval_macro avg": {
        "f1-score": 0.8104522044615743,
        "precision": 0.8032262155324155,
        "recall": 0.8196814497102615,
        "support": 33500.0
      },
      "eval_runtime": 4.8972,
      "eval_samples_per_second": 16.54,
      "eval_steps_per_second": 2.246,
      "eval_weighted avg": {
        "f1-score": 0.8542213698406307,
        "precision": 0.8551874645146165,
        "recall": 0.8540597014925373,
        "support": 33500.0
      },
      "step": 324
    },
    {
      "epoch": 5.0,
      "eval_Claim": {
        "f1-score": 0.6099687080911935,
        "precision": 0.6808882235528942,
        "recall": 0.5524291497975709,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.8315018315018317,
        "precision": 0.8330275229357799,
        "recall": 0.829981718464351,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.9103454839630722,
        "precision": 0.9074091642159188,
        "recall": 0.9133008689009835,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8913988368533824,
        "precision": 0.8682249120505635,
        "recall": 0.915843763758727,
        "support": 15899.0
      },
      "eval_accuracy": 0.8558507462686568,
      "eval_loss": 0.5162495374679565,
      "eval_macro avg": {
        "f1-score": 0.8108037151023699,
        "precision": 0.8223874556887891,
        "recall": 0.8028888752304081,
        "support": 33500.0
      },
      "eval_runtime": 4.9413,
      "eval_samples_per_second": 16.392,
      "eval_steps_per_second": 2.226,
      "eval_weighted avg": {
        "f1-score": 0.8519095458499607,
        "precision": 0.8505509283002989,
        "recall": 0.8558507462686568,
        "support": 33500.0
      },
      "step": 405
    },
    {
      "epoch": 6.0,
      "eval_Claim": {
        "f1-score": 0.646279703934554,
        "precision": 0.6227477477477478,
        "recall": 0.6716599190283401,
        "support": 4940.0
      },
      "eval_MajorClaim": {
        "f1-score": 0.8414067684140676,
        "precision": 0.8152593227603944,
        "recall": 0.8692870201096892,
        "support": 2188.0
      },
      "eval_O": {
        "f1-score": 0.9112506693929215,
        "precision": 0.9295788637266588,
        "recall": 0.8936312422419556,
        "support": 10473.0
      },
      "eval_Premise": {
        "f1-score": 0.8861383012314494,
        "precision": 0.8897343224906474,
        "recall": 0.8825712308950249,
        "support": 15899.0
      },
      "eval_accuracy": 0.8540597014925373,
      "eval_loss": 0.552895724773407,
      "eval_macro avg": {
        "f1-score": 0.8212688607432481,
        "precision": 0.8143300641813621,
        "recall": 0.8292873530687525,
        "support": 33500.0
      },
      "eval_runtime": 4.9336,
      "eval_samples_per_second": 16.418,
      "eval_steps_per_second": 2.23,
      "eval_weighted avg": {
        "f1-score": 0.8556973390614198,
        "precision": 0.8579560210496036,
        "recall": 0.8540597014925373,
        "support": 33500.0
      },
      "step": 486
    }
  ],
  "logging_steps": 500,
  "max_steps": 4050,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 50,
  "save_steps": 500,
  "total_flos": 860053103204400.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}