Hugging Face's logo

JeremiahZ
/
roberta-base-rte

Text Classification
Transformers
PyTorch
TensorBoard
English
roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
3
roberta-base-rte
File size: 2,845 Bytes 
3a00009
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.7581227436823105,
  "best_model_checkpoint": "./fine-tune/roberta-base/rte/checkpoint-780",
  "epoch": 8.0,
  "global_step": 1248,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.7072076797485352,
      "eval_runtime": 0.4902,
      "eval_samples_per_second": 565.102,
      "eval_steps_per_second": 71.403,
      "step": 156
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 0.6958328485488892,
      "eval_runtime": 0.689,
      "eval_samples_per_second": 402.039,
      "eval_steps_per_second": 50.799,
      "step": 312
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6462093862815884,
      "eval_loss": 0.6193148493766785,
      "eval_runtime": 0.5121,
      "eval_samples_per_second": 540.927,
      "eval_steps_per_second": 68.348,
      "step": 468
    },
    {
      "epoch": 3.21,
      "learning_rate": 1.446111869031378e-05,
      "loss": 0.6759,
      "step": 500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7075812274368231,
      "eval_loss": 0.6046352386474609,
      "eval_runtime": 0.5274,
      "eval_samples_per_second": 525.205,
      "eval_steps_per_second": 66.362,
      "step": 624
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7581227436823105,
      "eval_loss": 0.6365415453910828,
      "eval_runtime": 0.681,
      "eval_samples_per_second": 406.732,
      "eval_steps_per_second": 51.392,
      "step": 780
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7545126353790613,
      "eval_loss": 0.897487223148346,
      "eval_runtime": 0.6584,
      "eval_samples_per_second": 420.704,
      "eval_steps_per_second": 53.157,
      "step": 936
    },
    {
      "epoch": 6.41,
      "learning_rate": 7.639836289222374e-06,
      "loss": 0.3194,
      "step": 1000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7581227436823105,
      "eval_loss": 1.2031357288360596,
      "eval_runtime": 0.5817,
      "eval_samples_per_second": 476.173,
      "eval_steps_per_second": 60.166,
      "step": 1092
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7581227436823105,
      "eval_loss": 1.2942094802856445,
      "eval_runtime": 0.6818,
      "eval_samples_per_second": 406.254,
      "eval_steps_per_second": 51.332,
      "step": 1248
    },
    {
      "epoch": 8.0,
      "step": 1248,
      "total_flos": 1310293055692800.0,
      "train_loss": 0.42912168074876833,
      "train_runtime": 173.8183,
      "train_samples_per_second": 143.253,
      "train_steps_per_second": 8.975
    }
  ],
  "max_steps": 1560,
  "num_train_epochs": 10,
  "total_flos": 1310293055692800.0,
  "trial_name": null,
  "trial_params": null
}