Hugging Face's logo

omarmomen
/
structroberta_sx_final

Fill-Mask
Transformers
PyTorch
English
roberta
custom_code
Model card Files Community
structroberta_sx_final
File size: 2,862 Bytes 
88cccb3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9900189823035943,
  "best_model_checkpoint": "final_models/glue_models/structroberta_s2_50ep//finetune/main_verb_control/checkpoint-600",
  "epoch": 10.0,
  "global_step": 1280,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.56,
      "eval_accuracy": 0.9280734062194824,
      "eval_f1": 0.9230164964650432,
      "eval_loss": 0.25712713599205017,
      "eval_mcc": 0.8634812917806318,
      "eval_runtime": 54.3317,
      "eval_samples_per_second": 300.929,
      "eval_steps_per_second": 37.621,
      "step": 200
    },
    {
      "epoch": 3.12,
      "eval_accuracy": 0.9854434132575989,
      "eval_f1": 0.985414879274421,
      "eval_loss": 0.051639676094055176,
      "eval_mcc": 0.9708903070492874,
      "eval_runtime": 49.9623,
      "eval_samples_per_second": 327.247,
      "eval_steps_per_second": 40.911,
      "step": 400
    },
    {
      "epoch": 3.91,
      "learning_rate": 3.0468750000000002e-05,
      "loss": 0.141,
      "step": 500
    },
    {
      "epoch": 4.69,
      "eval_accuracy": 0.9900305867195129,
      "eval_f1": 0.9900189823035943,
      "eval_loss": 0.04498597979545593,
      "eval_mcc": 0.9800617351233112,
      "eval_runtime": 53.1065,
      "eval_samples_per_second": 307.872,
      "eval_steps_per_second": 38.489,
      "step": 600
    },
    {
      "epoch": 6.25,
      "eval_accuracy": 0.9856269359588623,
      "eval_f1": 0.9855340104647584,
      "eval_loss": 0.0649297907948494,
      "eval_mcc": 0.971319195627004,
      "eval_runtime": 51.3997,
      "eval_samples_per_second": 318.095,
      "eval_steps_per_second": 39.767,
      "step": 800
    },
    {
      "epoch": 7.81,
      "learning_rate": 1.09375e-05,
      "loss": 0.0023,
      "step": 1000
    },
    {
      "epoch": 7.81,
      "eval_accuracy": 0.9882568717002869,
      "eval_f1": 0.9881232215761475,
      "eval_loss": 0.05662437155842781,
      "eval_mcc": 0.9767347209581166,
      "eval_runtime": 50.9239,
      "eval_samples_per_second": 321.067,
      "eval_steps_per_second": 40.138,
      "step": 1000
    },
    {
      "epoch": 9.38,
      "eval_accuracy": 0.984770655632019,
      "eval_f1": 0.9845466393595235,
      "eval_loss": 0.07832500338554382,
      "eval_mcc": 0.9699147617250261,
      "eval_runtime": 51.2538,
      "eval_samples_per_second": 319.001,
      "eval_steps_per_second": 39.88,
      "step": 1200
    },
    {
      "epoch": 10.0,
      "step": 1280,
      "total_flos": 7480384416921600.0,
      "train_loss": 0.056016668380470945,
      "train_runtime": 903.2296,
      "train_samples_per_second": 90.409,
      "train_steps_per_second": 1.417
    }
  ],
  "max_steps": 1280,
  "num_train_epochs": 10,
  "total_flos": 7480384416921600.0,
  "trial_name": null,
  "trial_params": null
}