checkpoint-691/trainer_state.json

{
  "best_metric": 0.4894636273384094,
  "best_model_checkpoint": "autotrain-sentiment-analyzer-reddit/checkpoint-691",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 691,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.05,
      "grad_norm": 10.44394588470459,
      "learning_rate": 8.173076923076923e-06,
      "loss": 0.3149,
      "step": 34
    },
    {
      "epoch": 0.1,
      "grad_norm": 12.510290145874023,
      "learning_rate": 1.6346153846153847e-05,
      "loss": 0.3768,
      "step": 68
    },
    {
      "epoch": 0.15,
      "grad_norm": 10.982364654541016,
      "learning_rate": 2.4519230769230768e-05,
      "loss": 0.3113,
      "step": 102
    },
    {
      "epoch": 0.2,
      "grad_norm": 14.942676544189453,
      "learning_rate": 3.269230769230769e-05,
      "loss": 0.4581,
      "step": 136
    },
    {
      "epoch": 0.25,
      "grad_norm": 15.461087226867676,
      "learning_rate": 4.0865384615384615e-05,
      "loss": 0.5979,
      "step": 170
    },
    {
      "epoch": 0.3,
      "grad_norm": 51.596256256103516,
      "learning_rate": 4.9038461538461536e-05,
      "loss": 0.548,
      "step": 204
    },
    {
      "epoch": 0.34,
      "grad_norm": 21.773590087890625,
      "learning_rate": 4.9195710455764076e-05,
      "loss": 0.5489,
      "step": 238
    },
    {
      "epoch": 0.39,
      "grad_norm": 11.456461906433105,
      "learning_rate": 4.8284182305630025e-05,
      "loss": 0.6068,
      "step": 272
    },
    {
      "epoch": 0.44,
      "grad_norm": 15.925763130187988,
      "learning_rate": 4.737265415549598e-05,
      "loss": 0.5067,
      "step": 306
    },
    {
      "epoch": 0.49,
      "grad_norm": 15.808685302734375,
      "learning_rate": 4.6461126005361935e-05,
      "loss": 0.5312,
      "step": 340
    },
    {
      "epoch": 0.54,
      "grad_norm": 53.43648910522461,
      "learning_rate": 4.554959785522788e-05,
      "loss": 0.4574,
      "step": 374
    },
    {
      "epoch": 0.59,
      "grad_norm": 4.778822898864746,
      "learning_rate": 4.463806970509384e-05,
      "loss": 0.6492,
      "step": 408
    },
    {
      "epoch": 0.64,
      "grad_norm": 9.234722137451172,
      "learning_rate": 4.3726541554959786e-05,
      "loss": 0.6046,
      "step": 442
    },
    {
      "epoch": 0.69,
      "grad_norm": 8.603498458862305,
      "learning_rate": 4.281501340482574e-05,
      "loss": 0.5429,
      "step": 476
    },
    {
      "epoch": 0.74,
      "grad_norm": 23.032926559448242,
      "learning_rate": 4.1903485254691696e-05,
      "loss": 0.5069,
      "step": 510
    },
    {
      "epoch": 0.79,
      "grad_norm": 3.559593915939331,
      "learning_rate": 4.0991957104557644e-05,
      "loss": 0.5562,
      "step": 544
    },
    {
      "epoch": 0.84,
      "grad_norm": 14.31966495513916,
      "learning_rate": 4.008042895442359e-05,
      "loss": 0.4328,
      "step": 578
    },
    {
      "epoch": 0.89,
      "grad_norm": 16.031381607055664,
      "learning_rate": 3.916890080428954e-05,
      "loss": 0.5084,
      "step": 612
    },
    {
      "epoch": 0.93,
      "grad_norm": 6.348935127258301,
      "learning_rate": 3.8257372654155496e-05,
      "loss": 0.5242,
      "step": 646
    },
    {
      "epoch": 0.98,
      "grad_norm": 20.074831008911133,
      "learning_rate": 3.734584450402145e-05,
      "loss": 0.5023,
      "step": 680
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8096960926193922,
      "eval_f1_macro": 0.7895193987806856,
      "eval_f1_micro": 0.8096960926193921,
      "eval_f1_weighted": 0.8045465713974906,
      "eval_loss": 0.4894636273384094,
      "eval_precision_macro": 0.814875613105015,
      "eval_precision_micro": 0.8096960926193922,
      "eval_precision_weighted": 0.8193628961020867,
      "eval_recall_macro": 0.7801134533159866,
      "eval_recall_micro": 0.8096960926193922,
      "eval_recall_weighted": 0.8096960926193922,
      "eval_runtime": 321.1321,
      "eval_samples_per_second": 4.304,
      "eval_steps_per_second": 0.271,
      "step": 691
    }
  ],
  "logging_steps": 34,
  "max_steps": 2073,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 363491186591232.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}