File size: 3,133 Bytes
1a21713
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
{
  "best_global_step": 1784,
  "best_metric": 0.7424307052322987,
  "best_model_checkpoint": "outputs/mbert-spam-multiclass/checkpoint-1784",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 1784,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.718122661113739,
      "learning_rate": 4.998771926094749e-05,
      "loss": 0.4205,
      "step": 446
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8846880907372401,
      "eval_f1": 0.6497507877391984,
      "eval_loss": 0.36673811078071594,
      "eval_precision": 0.7950539055043409,
      "eval_recall": 0.5966946689462213,
      "eval_runtime": 1.8876,
      "eval_samples_per_second": 840.735,
      "eval_steps_per_second": 26.488,
      "step": 446
    },
    {
      "epoch": 2.0,
      "grad_norm": 8.896832466125488,
      "learning_rate": 4.995077872180951e-05,
      "loss": 0.2976,
      "step": 892
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8928796471329553,
      "eval_f1": 0.7307096160459899,
      "eval_loss": 0.34850800037384033,
      "eval_precision": 0.8328975143146583,
      "eval_recall": 0.6755418632791529,
      "eval_runtime": 1.8873,
      "eval_samples_per_second": 840.902,
      "eval_steps_per_second": 26.493,
      "step": 892
    },
    {
      "epoch": 3.0,
      "grad_norm": 6.093507766723633,
      "learning_rate": 4.988921477641713e-05,
      "loss": 0.2378,
      "step": 1338
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8651543793320731,
      "eval_f1": 0.6932333947923072,
      "eval_loss": 0.40883514285087585,
      "eval_precision": 0.7921159351026835,
      "eval_recall": 0.6868319709426316,
      "eval_runtime": 1.8897,
      "eval_samples_per_second": 839.824,
      "eval_steps_per_second": 26.459,
      "step": 1338
    },
    {
      "epoch": 4.0,
      "grad_norm": 7.626230239868164,
      "learning_rate": 4.980308818095173e-05,
      "loss": 0.1903,
      "step": 1784
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8764965343415249,
      "eval_f1": 0.7424307052322987,
      "eval_loss": 0.3517472445964813,
      "eval_precision": 0.802800525730462,
      "eval_recall": 0.7160022972277378,
      "eval_runtime": 1.8913,
      "eval_samples_per_second": 839.095,
      "eval_steps_per_second": 26.437,
      "step": 1784
    }
  ],
  "logging_steps": 446,
  "max_steps": 44600,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 100,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 5,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}