Hugging Face's logo

rttl-ai
/
foody-bert

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
4
foody-bert
File size: 2,210 Bytes 
8168e4a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.0,
  "global_step": 3995,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.63,
      "learning_rate": 1.7496871088861077e-05,
      "loss": 0.5079,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_loss": 0.5189032554626465,
      "eval_runtime": 2.8243,
      "eval_samples_per_second": 1225.772,
      "eval_steps_per_second": 9.914,
      "step": 799
    },
    {
      "epoch": 1.25,
      "learning_rate": 1.4993742177722154e-05,
      "loss": 0.4379,
      "step": 1000
    },
    {
      "epoch": 1.88,
      "learning_rate": 1.249061326658323e-05,
      "loss": 0.3846,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_loss": 0.5475935935974121,
      "eval_runtime": 2.8018,
      "eval_samples_per_second": 1235.643,
      "eval_steps_per_second": 9.994,
      "step": 1598
    },
    {
      "epoch": 2.5,
      "learning_rate": 9.987484355444305e-06,
      "loss": 0.3219,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_loss": 0.5914019346237183,
      "eval_runtime": 2.7995,
      "eval_samples_per_second": 1236.649,
      "eval_steps_per_second": 10.002,
      "step": 2397
    },
    {
      "epoch": 3.13,
      "learning_rate": 7.484355444305382e-06,
      "loss": 0.2964,
      "step": 2500
    },
    {
      "epoch": 3.75,
      "learning_rate": 4.981226533166458e-06,
      "loss": 0.2524,
      "step": 3000
    },
    {
      "epoch": 4.0,
      "eval_loss": 0.6955985426902771,
      "eval_runtime": 2.8279,
      "eval_samples_per_second": 1224.237,
      "eval_steps_per_second": 9.901,
      "step": 3196
    },
    {
      "epoch": 4.38,
      "learning_rate": 2.4780976220275346e-06,
      "loss": 0.2253,
      "step": 3500
    },
    {
      "epoch": 5.0,
      "eval_loss": 0.7501208186149597,
      "eval_runtime": 2.7917,
      "eval_samples_per_second": 1240.104,
      "eval_steps_per_second": 10.03,
      "step": 3995
    }
  ],
  "max_steps": 3995,
  "num_train_epochs": 5,
  "total_flos": 1.804454718241824e+16,
  "trial_name": null,
  "trial_params": null
}