Hugging Face's logo

Hartunka
/
tiny_bert_rand_50_v1_qnli

TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
tiny_bert_rand_50_v1_qnli
File size: 3,146 Bytes
98abab7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
116
117
118
119
120
121
122
123
124
125
126
127
 
{
  "best_metric": 0.6506040692329407,
  "best_model_checkpoint": "tiny_bert_rand_50_v1_qnli/checkpoint-410",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 2460,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.4577155113220215,
      "learning_rate": 4.9e-05,
      "loss": 0.6648,
      "step": 410
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6146805784367564,
      "eval_loss": 0.6506040692329407,
      "eval_runtime": 1.956,
      "eval_samples_per_second": 2792.966,
      "eval_steps_per_second": 11.248,
      "step": 410
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.5135442018508911,
      "learning_rate": 4.8e-05,
      "loss": 0.6346,
      "step": 820
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6143144792238696,
      "eval_loss": 0.6588263511657715,
      "eval_runtime": 1.924,
      "eval_samples_per_second": 2839.373,
      "eval_steps_per_second": 11.434,
      "step": 820
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.518192768096924,
      "learning_rate": 4.7e-05,
      "loss": 0.5929,
      "step": 1230
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6144975288303131,
      "eval_loss": 0.6646158695220947,
      "eval_runtime": 1.9265,
      "eval_samples_per_second": 2835.689,
      "eval_steps_per_second": 11.42,
      "step": 1230
    },
    {
      "epoch": 4.0,
      "grad_norm": 3.417586088180542,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.5346,
      "step": 1640
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.6057111477210324,
      "eval_loss": 0.7260009050369263,
      "eval_runtime": 1.9205,
      "eval_samples_per_second": 2844.601,
      "eval_steps_per_second": 11.455,
      "step": 1640
    },
    {
      "epoch": 5.0,
      "grad_norm": 5.0499773025512695,
      "learning_rate": 4.5e-05,
      "loss": 0.4633,
      "step": 2050
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6020501555921655,
      "eval_loss": 0.7664932608604431,
      "eval_runtime": 1.9267,
      "eval_samples_per_second": 2835.443,
      "eval_steps_per_second": 11.419,
      "step": 2050
    },
    {
      "epoch": 6.0,
      "grad_norm": 5.864147186279297,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.3949,
      "step": 2460
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5938129233022149,
      "eval_loss": 0.975488007068634,
      "eval_runtime": 1.9229,
      "eval_samples_per_second": 2840.982,
      "eval_steps_per_second": 11.441,
      "step": 2460
    },
    {
      "epoch": 6.0,
      "step": 2460,
      "total_flos": 1.6480417453111296e+16,
      "train_loss": 0.5475072597100483,
      "train_runtime": 429.8187,
      "train_samples_per_second": 12184.555,
      "train_steps_per_second": 47.695
    }
  ],
  "logging_steps": 1,
  "max_steps": 20500,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 50,
  "save_steps": 500,
  "total_flos": 1.6480417453111296e+16,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}