Hugging Face's logo

sbx
/
bert-base-swedish-cased_argumentation_sent

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
1
bert-base-swedish-cased_argumentation_sent
File size: 3,327 Bytes 
70961d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.9318278600753288,
  "best_model_checkpoint": "/home/felix/kubhist2-testing/SuperLim-2-Testing/results/trainer_output/run-ae28d_00003/checkpoint-1512",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 1512,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.768,
      "eval_krippendorff_nominal": 0.6462532075451226,
      "eval_loss": 0.5996153354644775,
      "eval_runtime": 1.6255,
      "eval_samples_per_second": 461.404,
      "eval_steps_per_second": 7.382,
      "learning_rate": 3.8364532019704435e-05,
      "step": 216
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8813333333333333,
      "eval_krippendorff_nominal": 0.8182421349202457,
      "eval_loss": 0.33796122670173645,
      "eval_runtime": 0.9435,
      "eval_samples_per_second": 794.882,
      "eval_steps_per_second": 12.718,
      "learning_rate": 3.412807881773399e-05,
      "step": 432
    },
    {
      "epoch": 2.31,
      "learning_rate": 3.2788177339901483e-05,
      "loss": 0.6653,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9186666666666666,
      "eval_krippendorff_nominal": 0.875072922743562,
      "eval_loss": 0.2410804033279419,
      "eval_runtime": 1.6215,
      "eval_samples_per_second": 462.531,
      "eval_steps_per_second": 7.4,
      "learning_rate": 2.9871921182266012e-05,
      "step": 648
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.952,
      "eval_krippendorff_nominal": 0.9257691117301146,
      "eval_loss": 0.24171602725982666,
      "eval_runtime": 0.8034,
      "eval_samples_per_second": 933.562,
      "eval_steps_per_second": 14.937,
      "learning_rate": 2.561576354679803e-05,
      "step": 864
    },
    {
      "epoch": 4.63,
      "learning_rate": 2.2935960591133007e-05,
      "loss": 0.1402,
      "step": 1000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.956,
      "eval_krippendorff_nominal": 0.9315953885277389,
      "eval_loss": 0.2816691994667053,
      "eval_runtime": 0.7016,
      "eval_samples_per_second": 1068.993,
      "eval_steps_per_second": 17.104,
      "learning_rate": 2.135960591133005e-05,
      "step": 1080
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9533333333333334,
      "eval_krippendorff_nominal": 0.9278546008591717,
      "eval_loss": 0.32500791549682617,
      "eval_runtime": 0.7136,
      "eval_samples_per_second": 1051.007,
      "eval_steps_per_second": 16.816,
      "learning_rate": 1.710344827586207e-05,
      "step": 1296
    },
    {
      "epoch": 6.94,
      "learning_rate": 1.3083743842364534e-05,
      "loss": 0.0263,
      "step": 1500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.956,
      "eval_krippendorff_nominal": 0.9318278600753288,
      "eval_loss": 0.341027170419693,
      "eval_runtime": 0.9282,
      "eval_samples_per_second": 808.008,
      "eval_steps_per_second": 12.928,
      "learning_rate": 1.284729064039409e-05,
      "step": 1512
    }
  ],
  "logging_steps": 500,
  "max_steps": 2160,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 984537519960960.0,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 4e-05,
    "per_device_train_batch_size": 16
  }
}