Hugging Face's logo

HikasaHana
/
BERT-WMM

Text Classification
Transformers
TensorBoard
Safetensors
Chinese
bert
Inference Endpoints
Model card Files Metrics Community
BERT-WMM
File size: 2,692 Bytes 
4009b85
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.6080508828163147,
  "best_model_checkpoint": "BERT-WMM/run-2/checkpoint-533",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2665,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.94,
      "grad_norm": 9.333391189575195,
      "learning_rate": 1.2018217372024236e-05,
      "loss": 0.7056,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7427230046948357,
      "eval_loss": 0.6080508828163147,
      "eval_runtime": 1.9882,
      "eval_samples_per_second": 1071.329,
      "eval_steps_per_second": 67.398,
      "step": 533
    },
    {
      "epoch": 1.88,
      "grad_norm": 10.452563285827637,
      "learning_rate": 9.790971750818855e-06,
      "loss": 0.4566,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7647887323943662,
      "eval_loss": 0.6108278632164001,
      "eval_runtime": 2.0426,
      "eval_samples_per_second": 1042.799,
      "eval_steps_per_second": 65.603,
      "step": 1066
    },
    {
      "epoch": 2.81,
      "grad_norm": 15.208818435668945,
      "learning_rate": 7.563726129613473e-06,
      "loss": 0.2952,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7723004694835681,
      "eval_loss": 0.7061524391174316,
      "eval_runtime": 2.0864,
      "eval_samples_per_second": 1020.91,
      "eval_steps_per_second": 64.226,
      "step": 1599
    },
    {
      "epoch": 3.75,
      "grad_norm": 71.34471893310547,
      "learning_rate": 5.3364805084080925e-06,
      "loss": 0.1924,
      "step": 2000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7746478873239436,
      "eval_loss": 0.9748370051383972,
      "eval_runtime": 1.9954,
      "eval_samples_per_second": 1067.453,
      "eval_steps_per_second": 67.154,
      "step": 2132
    },
    {
      "epoch": 4.69,
      "grad_norm": 0.35381996631622314,
      "learning_rate": 3.1092348872027118e-06,
      "loss": 0.1118,
      "step": 2500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7718309859154929,
      "eval_loss": 1.1978907585144043,
      "eval_runtime": 2.0749,
      "eval_samples_per_second": 1026.553,
      "eval_steps_per_second": 64.581,
      "step": 2665
    }
  ],
  "logging_steps": 500,
  "max_steps": 3198,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 846139862236032.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 1.4245462993229616e-05,
    "num_train_epochs": 6,
    "per_device_train_batch_size": 16,
    "weight_decay": 0.002285356379677195
  }
}