Hugging Face's logo

zkdeng
/
t5spiders

PyTorch
convnextv2
Generated from Trainer
Model card Files Community
t5spiders
File size: 2,800 Bytes 
24cea87
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9,
  "best_model_checkpoint": "convnextv2-tiny-22k-384-finetuned-zkdeng/t5spiders/checkpoint-18",
  "epoch": 4.8,
  "eval_steps": 500,
  "global_step": 30,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.96,
      "eval_accuracy": 0.68,
      "eval_f1": 0.6750754604872251,
      "eval_loss": 1.1803159713745117,
      "eval_precision": 0.6789160839160839,
      "eval_recall": 0.6868831168831169,
      "eval_runtime": 3.3618,
      "eval_samples_per_second": 14.873,
      "eval_steps_per_second": 1.19,
      "step": 6
    },
    {
      "epoch": 1.6,
      "learning_rate": 3.7037037037037037e-05,
      "loss": 1.3235,
      "step": 10
    },
    {
      "epoch": 1.92,
      "eval_accuracy": 0.84,
      "eval_f1": 0.8387969924812031,
      "eval_loss": 0.7862006425857544,
      "eval_precision": 0.8603030303030303,
      "eval_recall": 0.856969696969697,
      "eval_runtime": 2.7831,
      "eval_samples_per_second": 17.966,
      "eval_steps_per_second": 1.437,
      "step": 12
    },
    {
      "epoch": 2.88,
      "eval_accuracy": 0.9,
      "eval_f1": 0.9023978919631095,
      "eval_loss": 0.5749024748802185,
      "eval_precision": 0.9034848484848486,
      "eval_recall": 0.9103030303030304,
      "eval_runtime": 2.6475,
      "eval_samples_per_second": 18.886,
      "eval_steps_per_second": 1.511,
      "step": 18
    },
    {
      "epoch": 3.2,
      "learning_rate": 1.8518518518518518e-05,
      "loss": 0.6609,
      "step": 20
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9,
      "eval_f1": 0.9023978919631095,
      "eval_loss": 0.47980964183807373,
      "eval_precision": 0.9034848484848486,
      "eval_recall": 0.9103030303030304,
      "eval_runtime": 2.685,
      "eval_samples_per_second": 18.622,
      "eval_steps_per_second": 1.49,
      "step": 25
    },
    {
      "epoch": 4.8,
      "learning_rate": 0.0,
      "loss": 0.43,
      "step": 30
    },
    {
      "epoch": 4.8,
      "eval_accuracy": 0.9,
      "eval_f1": 0.9023978919631095,
      "eval_loss": 0.46124908328056335,
      "eval_precision": 0.9034848484848486,
      "eval_recall": 0.9103030303030304,
      "eval_runtime": 2.7597,
      "eval_samples_per_second": 18.118,
      "eval_steps_per_second": 1.449,
      "step": 30
    },
    {
      "epoch": 4.8,
      "step": 30,
      "total_flos": 1.4114178534172262e+17,
      "train_loss": 0.8048010190327962,
      "train_runtime": 101.246,
      "train_samples_per_second": 19.606,
      "train_steps_per_second": 0.296
    }
  ],
  "logging_steps": 10,
  "max_steps": 30,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 1.4114178534172262e+17,
  "trial_name": null,
  "trial_params": null
}