{
  "best_metric": 0.96,
  "best_model_checkpoint": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window3_more_data_b4/checkpoint-39",
  "epoch": 5.097222222222222,
  "eval_steps": 500,
  "global_step": 72,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "accuracy": 0.0,
      "epoch": 0,
      "step": 0
    },
    {
      "accuracy": 0.25,
      "epoch": 0.01,
      "step": 1
    },
    {
      "accuracy": 0.25,
      "epoch": 0.03,
      "step": 2
    },
    {
      "accuracy": 0.75,
      "epoch": 0.04,
      "step": 3
    },
    {
      "accuracy": 0.0,
      "epoch": 0.06,
      "step": 4
    },
    {
      "accuracy": 0.0,
      "epoch": 0.07,
      "step": 5
    },
    {
      "accuracy": 0.5,
      "epoch": 0.08,
      "step": 6
    },
    {
      "accuracy": 0.75,
      "epoch": 0.1,
      "step": 7
    },
    {
      "accuracy": 0.75,
      "epoch": 0.11,
      "step": 8
    },
    {
      "accuracy": 1.0,
      "epoch": 0.12,
      "step": 9
    },
    {
      "epoch": 0.14,
      "grad_norm": 11.168214797973633,
      "learning_rate": 4.8437500000000005e-05,
      "loss": 1.4033,
      "step": 10
    },
    {
      "accuracy": 0.75,
      "epoch": 0.14,
      "step": 10
    },
    {
      "accuracy": 1.0,
      "epoch": 0.15,
      "step": 11
    },
    {
      "accuracy": 1.0,
      "epoch": 0.17,
      "step": 12
    },
    {
      "accuracy": 0.5,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 0.75,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "epoch": 0.18,
      "eval_accuracy": 0.88,
      "eval_loss": 0.5778742432594299,
      "eval_runtime": 27.5022,
      "eval_samples_per_second": 0.909,
      "eval_steps_per_second": 0.255,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 0.18,
      "step": 13
    },
    {
      "accuracy": 1.0,
      "epoch": 1.01,
      "step": 14
    },
    {
      "accuracy": 1.0,
      "epoch": 1.03,
      "step": 15
    },
    {
      "accuracy": 1.0,
      "epoch": 1.04,
      "step": 16
    },
    {
      "accuracy": 1.0,
      "epoch": 1.06,
      "step": 17
    },
    {
      "accuracy": 1.0,
      "epoch": 1.07,
      "step": 18
    },
    {
      "accuracy": 1.0,
      "epoch": 1.08,
      "step": 19
    },
    {
      "epoch": 1.1,
      "grad_norm": 2.1656227111816406,
      "learning_rate": 4.0625000000000005e-05,
      "loss": 0.3402,
      "step": 20
    },
    {
      "accuracy": 1.0,
      "epoch": 1.1,
      "step": 20
    },
    {
      "accuracy": 1.0,
      "epoch": 1.11,
      "step": 21
    },
    {
      "accuracy": 1.0,
      "epoch": 1.12,
      "step": 22
    },
    {
      "accuracy": 1.0,
      "epoch": 1.14,
      "step": 23
    },
    {
      "accuracy": 1.0,
      "epoch": 1.15,
      "step": 24
    },
    {
      "accuracy": 1.0,
      "epoch": 1.17,
      "step": 25
    },
    {
      "accuracy": 0.75,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 1.0,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 0.75,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 1.0,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 0.75,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 1.0,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 0.0,
      "epoch": 1.18,
      "step": 26
    },
    {
      "epoch": 1.18,
      "eval_accuracy": 0.84,
      "eval_loss": 0.33898457884788513,
      "eval_runtime": 27.8625,
      "eval_samples_per_second": 0.897,
      "eval_steps_per_second": 0.251,
      "step": 26
    },
    {
      "accuracy": 1.0,
      "epoch": 1.18,
      "step": 26
    },
    {
      "accuracy": 1.0,
      "epoch": 2.01,
      "step": 27
    },
    {
      "accuracy": 1.0,
      "epoch": 2.03,
      "step": 28
    },
    {
      "accuracy": 1.0,
      "epoch": 2.04,
      "step": 29
    },
    {
      "epoch": 2.06,
      "grad_norm": 0.17987509071826935,
      "learning_rate": 3.2812500000000005e-05,
      "loss": 0.0426,
      "step": 30
    },
    {
      "accuracy": 1.0,
      "epoch": 2.06,
      "step": 30
    },
    {
      "accuracy": 1.0,
      "epoch": 2.07,
      "step": 31
    },
    {
      "accuracy": 1.0,
      "epoch": 2.08,
      "step": 32
    },
    {
      "accuracy": 1.0,
      "epoch": 2.1,
      "step": 33
    },
    {
      "accuracy": 1.0,
      "epoch": 2.11,
      "step": 34
    },
    {
      "accuracy": 1.0,
      "epoch": 2.12,
      "step": 35
    },
    {
      "accuracy": 1.0,
      "epoch": 2.14,
      "step": 36
    },
    {
      "accuracy": 1.0,
      "epoch": 2.15,
      "step": 37
    },
    {
      "accuracy": 1.0,
      "epoch": 2.17,
      "step": 38
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 0.75,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "epoch": 2.18,
      "eval_accuracy": 0.96,
      "eval_loss": 0.21377582848072052,
      "eval_runtime": 27.0552,
      "eval_samples_per_second": 0.924,
      "eval_steps_per_second": 0.259,
      "step": 39
    },
    {
      "accuracy": 1.0,
      "epoch": 2.18,
      "step": 39
    },
    {
      "epoch": 3.01,
      "grad_norm": 0.11805030703544617,
      "learning_rate": 2.5e-05,
      "loss": 0.0121,
      "step": 40
    },
    {
      "accuracy": 1.0,
      "epoch": 3.01,
      "step": 40
    },
    {
      "accuracy": 1.0,
      "epoch": 3.03,
      "step": 41
    },
    {
      "accuracy": 1.0,
      "epoch": 3.04,
      "step": 42
    },
    {
      "accuracy": 1.0,
      "epoch": 3.06,
      "step": 43
    },
    {
      "accuracy": 1.0,
      "epoch": 3.07,
      "step": 44
    },
    {
      "accuracy": 1.0,
      "epoch": 3.08,
      "step": 45
    },
    {
      "accuracy": 1.0,
      "epoch": 3.1,
      "step": 46
    },
    {
      "accuracy": 1.0,
      "epoch": 3.11,
      "step": 47
    },
    {
      "accuracy": 1.0,
      "epoch": 3.12,
      "step": 48
    },
    {
      "accuracy": 1.0,
      "epoch": 3.14,
      "step": 49
    },
    {
      "epoch": 3.15,
      "grad_norm": 0.07389847934246063,
      "learning_rate": 1.71875e-05,
      "loss": 0.0049,
      "step": 50
    },
    {
      "accuracy": 1.0,
      "epoch": 3.15,
      "step": 50
    },
    {
      "accuracy": 1.0,
      "epoch": 3.17,
      "step": 51
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 0.75,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 0.75,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "epoch": 3.18,
      "eval_accuracy": 0.92,
      "eval_loss": 0.18079356849193573,
      "eval_runtime": 27.6737,
      "eval_samples_per_second": 0.903,
      "eval_steps_per_second": 0.253,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 3.18,
      "step": 52
    },
    {
      "accuracy": 1.0,
      "epoch": 4.01,
      "step": 53
    },
    {
      "accuracy": 1.0,
      "epoch": 4.03,
      "step": 54
    },
    {
      "accuracy": 1.0,
      "epoch": 4.04,
      "step": 55
    },
    {
      "accuracy": 1.0,
      "epoch": 4.06,
      "step": 56
    },
    {
      "accuracy": 1.0,
      "epoch": 4.07,
      "step": 57
    },
    {
      "accuracy": 1.0,
      "epoch": 4.08,
      "step": 58
    },
    {
      "accuracy": 1.0,
      "epoch": 4.1,
      "step": 59
    },
    {
      "epoch": 4.11,
      "grad_norm": 0.16879861056804657,
      "learning_rate": 9.375000000000001e-06,
      "loss": 0.0029,
      "step": 60
    },
    {
      "accuracy": 1.0,
      "epoch": 4.11,
      "step": 60
    },
    {
      "accuracy": 1.0,
      "epoch": 4.12,
      "step": 61
    },
    {
      "accuracy": 1.0,
      "epoch": 4.14,
      "step": 62
    },
    {
      "accuracy": 1.0,
      "epoch": 4.15,
      "step": 63
    },
    {
      "accuracy": 1.0,
      "epoch": 4.17,
      "step": 64
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 0.75,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 0.75,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "epoch": 4.18,
      "eval_accuracy": 0.92,
      "eval_loss": 0.1889605075120926,
      "eval_runtime": 25.2006,
      "eval_samples_per_second": 0.992,
      "eval_steps_per_second": 0.278,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 4.18,
      "step": 65
    },
    {
      "accuracy": 1.0,
      "epoch": 5.01,
      "step": 66
    },
    {
      "accuracy": 1.0,
      "epoch": 5.03,
      "step": 67
    },
    {
      "accuracy": 1.0,
      "epoch": 5.04,
      "step": 68
    },
    {
      "accuracy": 1.0,
      "epoch": 5.06,
      "step": 69
    },
    {
      "epoch": 5.07,
      "grad_norm": 0.03316669911146164,
      "learning_rate": 1.5625e-06,
      "loss": 0.0022,
      "step": 70
    },
    {
      "accuracy": 1.0,
      "epoch": 5.07,
      "step": 70
    },
    {
      "accuracy": 1.0,
      "epoch": 5.08,
      "step": 71
    },
    {
      "accuracy": 0.75,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 0.75,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "epoch": 5.1,
      "eval_accuracy": 0.92,
      "eval_loss": 0.18929095566272736,
      "eval_runtime": 25.0662,
      "eval_samples_per_second": 0.997,
      "eval_steps_per_second": 0.279,
      "step": 72
    },
    {
      "epoch": 5.1,
      "step": 72,
      "total_flos": 3.044708388358963e+17,
      "train_loss": 0.25122544505090144,
      "train_runtime": 480.2289,
      "train_samples_per_second": 0.6,
      "train_steps_per_second": 0.15
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 0.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "epoch": 5.1,
      "eval_accuracy": 0.96,
      "eval_loss": 0.1763344556093216,
      "eval_runtime": 17.7295,
      "eval_samples_per_second": 1.41,
      "eval_steps_per_second": 0.395,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 0.75,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "accuracy": 1.0,
      "epoch": 5.1,
      "step": 72
    },
    {
      "epoch": 5.1,
      "eval_accuracy": 0.96,
      "eval_loss": 0.1763344407081604,
      "eval_runtime": 17.9669,
      "eval_samples_per_second": 1.391,
      "eval_steps_per_second": 0.39,
      "step": 72
    }
  ],
  "logging_steps": 10,
  "max_steps": 72,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9223372036854775807,
  "save_steps": 500,
  "total_flos": 3.044708388358963e+17,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}