Hugging Face's logo

nfliu
/
deberta-v3-large_boolq

Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
2
deberta-v3-large_boolq
File size: 2,183 Bytes 
2152efb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.46006181836128235,
  "best_model_checkpoint": "./deberta-v3-large_boolq/checkpoint-500",
  "epoch": 5.0,
  "eval_steps": 250,
  "global_step": 1475,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.85,
      "eval_accuracy": 0.882262996941896,
      "eval_loss": 0.5305724740028381,
      "eval_runtime": 58.8571,
      "eval_samples_per_second": 55.558,
      "eval_steps_per_second": 6.949,
      "step": 250
    },
    {
      "epoch": 1.69,
      "learning_rate": 6.623728813559322e-06,
      "loss": 0.1151,
      "step": 500
    },
    {
      "epoch": 1.69,
      "eval_accuracy": 0.8834862385321101,
      "eval_loss": 0.46006181836128235,
      "eval_runtime": 58.6016,
      "eval_samples_per_second": 55.801,
      "eval_steps_per_second": 6.979,
      "step": 500
    },
    {
      "epoch": 2.54,
      "eval_accuracy": 0.8792048929663608,
      "eval_loss": 0.5896904468536377,
      "eval_runtime": 58.6309,
      "eval_samples_per_second": 55.773,
      "eval_steps_per_second": 6.976,
      "step": 750
    },
    {
      "epoch": 3.39,
      "learning_rate": 3.2338983050847462e-06,
      "loss": 0.0656,
      "step": 1000
    },
    {
      "epoch": 3.39,
      "eval_accuracy": 0.8804281345565749,
      "eval_loss": 0.6476820111274719,
      "eval_runtime": 58.833,
      "eval_samples_per_second": 55.581,
      "eval_steps_per_second": 6.952,
      "step": 1000
    },
    {
      "epoch": 4.24,
      "eval_accuracy": 0.8837920489296636,
      "eval_loss": 0.684716522693634,
      "eval_runtime": 58.2099,
      "eval_samples_per_second": 56.176,
      "eval_steps_per_second": 7.026,
      "step": 1250
    },
    {
      "epoch": 5.0,
      "step": 1475,
      "total_flos": 4.392688135824384e+16,
      "train_loss": 0.06997121843241029,
      "train_runtime": 3241.1036,
      "train_samples_per_second": 14.543,
      "train_steps_per_second": 0.455
    }
  ],
  "logging_steps": 500,
  "max_steps": 1475,
  "num_train_epochs": 5,
  "save_steps": 250,
  "total_flos": 4.392688135824384e+16,
  "trial_name": null,
  "trial_params": null
}