Hugging Face's logo

christian-phu
/
bert-finetuned-japanese-sentiment

Text Classification
Transformers
PyTorch
Japanese
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
2
bert-finetuned-japanese-sentiment
File size: 3,211 Bytes 
ed2df6c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.5450584888458252,
  "best_model_checkpoint": "bert-finetuned-japanese-sentiment/checkpoint-474",
  "epoch": 6.0,
  "global_step": 2844,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8157940210817349,
      "eval_f1": 0.7272032479349645,
      "eval_loss": 0.5450584888458252,
      "eval_precision": 0.7101173006557553,
      "eval_recall": 0.7530568561281469,
      "eval_runtime": 84.5162,
      "eval_samples_per_second": 68.472,
      "eval_steps_per_second": 2.142,
      "step": 474
    },
    {
      "epoch": 1.05,
      "learning_rate": 1.789029535864979e-05,
      "loss": 0.3251,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8261620874373596,
      "eval_f1": 0.7413523368662124,
      "eval_loss": 0.5779568552970886,
      "eval_precision": 0.7270594811474224,
      "eval_recall": 0.7636775589314819,
      "eval_runtime": 84.8717,
      "eval_samples_per_second": 68.185,
      "eval_steps_per_second": 2.133,
      "step": 948
    },
    {
      "epoch": 2.11,
      "learning_rate": 1.578059071729958e-05,
      "loss": 0.2209,
      "step": 1000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8156212199758078,
      "eval_f1": 0.7283195708625394,
      "eval_loss": 0.6474512219429016,
      "eval_precision": 0.7140241339852836,
      "eval_recall": 0.7508970192749587,
      "eval_runtime": 84.4623,
      "eval_samples_per_second": 68.516,
      "eval_steps_per_second": 2.143,
      "step": 1422
    },
    {
      "epoch": 3.16,
      "learning_rate": 1.3670886075949368e-05,
      "loss": 0.1636,
      "step": 1500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8107827890098497,
      "eval_f1": 0.7287062118529598,
      "eval_loss": 0.8141492605209351,
      "eval_precision": 0.7155878847825652,
      "eval_recall": 0.7576050434353393,
      "eval_runtime": 84.7752,
      "eval_samples_per_second": 68.263,
      "eval_steps_per_second": 2.135,
      "step": 1896
    },
    {
      "epoch": 4.22,
      "learning_rate": 1.1561181434599158e-05,
      "loss": 0.114,
      "step": 2000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8123379989631934,
      "eval_f1": 0.7293509360093955,
      "eval_loss": 0.9643709063529968,
      "eval_precision": 0.7212611749404146,
      "eval_recall": 0.7546179503626446,
      "eval_runtime": 84.2684,
      "eval_samples_per_second": 68.673,
      "eval_steps_per_second": 2.148,
      "step": 2370
    },
    {
      "epoch": 5.27,
      "learning_rate": 9.451476793248946e-06,
      "loss": 0.0876,
      "step": 2500
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8132020044928288,
      "eval_f1": 0.7284553808496855,
      "eval_loss": 1.028875708580017,
      "eval_precision": 0.7124400203988301,
      "eval_recall": 0.7560308594078071,
      "eval_runtime": 84.9239,
      "eval_samples_per_second": 68.143,
      "eval_steps_per_second": 2.131,
      "step": 2844
    }
  ],
  "max_steps": 4740,
  "num_train_epochs": 10,
  "total_flos": 1.074326001547428e+16,
  "trial_name": null,
  "trial_params": null
}