Hugging Face's logo

DunnBC22
/
distilbert-base-uncased-US_Airline_Twitter_Sentiment_Analysis

Text Classification
Transformers
PyTorch
English
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
1
distilbert-base-uncased-US_Airline_Twitter_Sentiment_Analysis
File size: 2,543 Bytes 
d9980a8
5705b05
 
 
 
d9980a8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
462775f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1aebbc0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2366361
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5705b05
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d9980a8
 
 
 
5705b05
d9980a8
 
 
 
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
 
{
  "best_metric": 0.836962977801342,
  "best_model_checkpoint": "distilbert-base-uncased-US_Airline_Twitter_Sentiment_Analysis/checkpoint-460",
  "epoch": 5.0,
  "global_step": 460,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.01,
      "learning_rate": 1.997282608695652e-05,
      "loss": 1.0978,
      "step": 1
    },
    {
      "epoch": 1.0,
      "learning_rate": 1.7500000000000002e-05,
      "loss": 0.8015,
      "step": 92
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7952054794520548,
      "eval_f1_score": 0.8018452790126995,
      "eval_loss": 0.5483363270759583,
      "eval_runtime": 87.3239,
      "eval_samples_per_second": 16.719,
      "eval_steps_per_second": 0.137,
      "step": 92
    },
    {
      "epoch": 2.0,
      "learning_rate": 1.5000000000000002e-05,
      "loss": 0.4795,
      "step": 184
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8232876712328767,
      "eval_f1_score": 0.8266497180049651,
      "eval_loss": 0.4993366301059723,
      "eval_runtime": 86.9513,
      "eval_samples_per_second": 16.791,
      "eval_steps_per_second": 0.138,
      "step": 184
    },
    {
      "epoch": 3.0,
      "learning_rate": 1.25e-05,
      "loss": 0.3995,
      "step": 276
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8205479452054795,
      "eval_f1_score": 0.8159502183368431,
      "eval_loss": 0.588766872882843,
      "eval_runtime": 86.0412,
      "eval_samples_per_second": 16.969,
      "eval_steps_per_second": 0.139,
      "step": 276
    },
    {
      "epoch": 4.0,
      "learning_rate": 1e-05,
      "loss": 0.339,
      "step": 368
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.834931506849315,
      "eval_f1_score": 0.8350190343859925,
      "eval_loss": 0.4934794306755066,
      "eval_runtime": 86.1523,
      "eval_samples_per_second": 16.947,
      "eval_steps_per_second": 0.139,
      "step": 368
    },
    {
      "epoch": 5.0,
      "learning_rate": 7.500000000000001e-06,
      "loss": 0.2857,
      "step": 460
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8335616438356165,
      "eval_f1_score": 0.836962977801342,
      "eval_loss": 0.5100029110908508,
      "eval_runtime": 86.4788,
      "eval_samples_per_second": 16.883,
      "eval_steps_per_second": 0.139,
      "step": 460
    }
  ],
  "max_steps": 736,
  "num_train_epochs": 8,
  "total_flos": 452576211558444.0,
  "trial_name": null,
  "trial_params": null
}