Hugging Face's logo

TuhinColumbia
/
SimileLiteral

Transformers
PyTorch
roberta
Inference Endpoints
Model card Files Community
SimileLiteral
File size: 2,499 Bytes 
10f8ee9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 6.990967741935484,
  "global_step": 336,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.99,
      "learning_rate": 9e-06,
      "loss": 0.4828,
      "step": 48
    },
    {
      "epoch": 0.99,
      "eval_acc": 86.17021276595744,
      "eval_loss": 0.3562283217906952,
      "eval_runtime": 82.5249,
      "eval_samples_per_second": 4.556,
      "step": 48
    },
    {
      "epoch": 1.99,
      "learning_rate": 8.000000000000001e-06,
      "loss": 0.1477,
      "step": 96
    },
    {
      "epoch": 1.99,
      "eval_acc": 85.63829787234043,
      "eval_loss": 0.3522704243659973,
      "eval_runtime": 82.6705,
      "eval_samples_per_second": 4.548,
      "step": 96
    },
    {
      "epoch": 2.99,
      "learning_rate": 7e-06,
      "loss": 0.0398,
      "step": 144
    },
    {
      "epoch": 2.99,
      "eval_acc": 87.76595744680851,
      "eval_loss": 0.7263116836547852,
      "eval_runtime": 82.5944,
      "eval_samples_per_second": 4.552,
      "step": 144
    },
    {
      "epoch": 3.99,
      "learning_rate": 6e-06,
      "loss": 0.0179,
      "step": 192
    },
    {
      "epoch": 3.99,
      "eval_acc": 87.5,
      "eval_loss": 0.8694424033164978,
      "eval_runtime": 82.5077,
      "eval_samples_per_second": 4.557,
      "step": 192
    },
    {
      "epoch": 4.99,
      "learning_rate": 5e-06,
      "loss": 0.0047,
      "step": 240
    },
    {
      "epoch": 4.99,
      "eval_acc": 86.70212765957447,
      "eval_loss": 1.1555883884429932,
      "eval_runtime": 82.5664,
      "eval_samples_per_second": 4.554,
      "step": 240
    },
    {
      "epoch": 5.99,
      "learning_rate": 4.000000000000001e-06,
      "loss": 0.0005,
      "step": 288
    },
    {
      "epoch": 5.99,
      "eval_acc": 89.09574468085107,
      "eval_loss": 1.2453709840774536,
      "eval_runtime": 82.6312,
      "eval_samples_per_second": 4.55,
      "step": 288
    },
    {
      "epoch": 6.99,
      "learning_rate": 3e-06,
      "loss": 0.0004,
      "step": 336
    },
    {
      "epoch": 6.99,
      "eval_acc": 89.09574468085107,
      "eval_loss": 1.210463523864746,
      "eval_runtime": 82.502,
      "eval_samples_per_second": 4.557,
      "step": 336
    }
  ],
  "max_steps": 480,
  "num_train_epochs": 10,
  "total_flos": 1.4028769825494106e+17,
  "trial_name": null,
  "trial_params": null
}