Hugging Face's logo

sibstrider
/
rubert-tiny2-finetuned-classification

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
rubert-tiny2-finetuned-classification
File size: 2,468 Bytes 
0829b32
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.8244897959183674,
  "best_model_checkpoint": "rubert-tiny2-finetuned-classification\\run-2\\checkpoint-2750",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2750,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.91,
      "learning_rate": 7.123150895957912e-06,
      "loss": 2.1151,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6326530612244898,
      "eval_loss": 1.7264677286148071,
      "eval_runtime": 1.125,
      "eval_samples_per_second": 217.778,
      "eval_steps_per_second": 14.222,
      "step": 550
    },
    {
      "epoch": 1.82,
      "learning_rate": 5.540228474633931e-06,
      "loss": 1.5823,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7755102040816326,
      "eval_loss": 1.2948896884918213,
      "eval_runtime": 1.575,
      "eval_samples_per_second": 155.555,
      "eval_steps_per_second": 10.159,
      "step": 1100
    },
    {
      "epoch": 2.73,
      "learning_rate": 3.9573060533099506e-06,
      "loss": 1.2756,
      "step": 1500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8,
      "eval_loss": 1.0647388696670532,
      "eval_runtime": 2.6287,
      "eval_samples_per_second": 93.202,
      "eval_steps_per_second": 6.087,
      "step": 1650
    },
    {
      "epoch": 3.64,
      "learning_rate": 2.37438363198597e-06,
      "loss": 1.0916,
      "step": 2000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8163265306122449,
      "eval_loss": 0.9502941966056824,
      "eval_runtime": 1.215,
      "eval_samples_per_second": 201.646,
      "eval_steps_per_second": 13.169,
      "step": 2200
    },
    {
      "epoch": 4.55,
      "learning_rate": 7.914612106619902e-07,
      "loss": 0.9936,
      "step": 2500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8244897959183674,
      "eval_loss": 0.9156307578086853,
      "eval_runtime": 1.564,
      "eval_samples_per_second": 156.65,
      "eval_steps_per_second": 10.23,
      "step": 2750
    }
  ],
  "logging_steps": 500,
  "max_steps": 2750,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 4825160961600.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 8.706073317281892e-06,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 4,
    "seed": 1
  }
}