Hugging Face's logo

Humor-Research
/
humor-detection-semeval-2017-task-7-977

Text Classification
Transformers
PyTorch
roberta
Model card Files
xet
Community
1
grammar-anarchist commited on
Commit
b5f0cdd
·
1 Parent(s): 0458748

Upload trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. trainer_state.json +124 -0
trainer_state.json ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.26341748237609863,
3
+ "best_model_checkpoint": "./models/results_semeval_2017_task_7_977/checkpoint-35",
4
+ "epoch": 0.7943262411347518,
5
+ "global_step": 35,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.11,
12
+ "eval_accuracy": 0.7047146401985112,
13
+ "eval_f1": 0.826783114992722,
14
+ "eval_loss": 0.5734484791755676,
15
+ "eval_precision": 0.7047146401985112,
16
+ "eval_recall": 1.0,
17
+ "eval_runtime": 2.4532,
18
+ "eval_samples_per_second": 164.274,
19
+ "eval_steps_per_second": 20.789,
20
+ "step": 5
21
+ },
22
+ {
23
+ "epoch": 0.18,
24
+ "learning_rate": 4.0909090909090915e-05,
25
+ "loss": 0.6082,
26
+ "step": 8
27
+ },
28
+ {
29
+ "epoch": 0.23,
30
+ "eval_accuracy": 0.7047146401985112,
31
+ "eval_f1": 0.826783114992722,
32
+ "eval_loss": 0.47419485449790955,
33
+ "eval_precision": 0.7047146401985112,
34
+ "eval_recall": 1.0,
35
+ "eval_runtime": 2.2817,
36
+ "eval_samples_per_second": 176.619,
37
+ "eval_steps_per_second": 22.351,
38
+ "step": 10
39
+ },
40
+ {
41
+ "epoch": 0.34,
42
+ "eval_accuracy": 0.7965260545905707,
43
+ "eval_f1": 0.871875,
44
+ "eval_loss": 0.4384384751319885,
45
+ "eval_precision": 0.7837078651685393,
46
+ "eval_recall": 0.9823943661971831,
47
+ "eval_runtime": 2.2577,
48
+ "eval_samples_per_second": 178.501,
49
+ "eval_steps_per_second": 22.589,
50
+ "step": 15
51
+ },
52
+ {
53
+ "epoch": 0.36,
54
+ "learning_rate": 3.181818181818182e-05,
55
+ "loss": 0.4324,
56
+ "step": 16
57
+ },
58
+ {
59
+ "epoch": 0.45,
60
+ "eval_accuracy": 0.8833746898263027,
61
+ "eval_f1": 0.9182608695652175,
62
+ "eval_loss": 0.3366798162460327,
63
+ "eval_precision": 0.9072164948453608,
64
+ "eval_recall": 0.9295774647887324,
65
+ "eval_runtime": 2.2537,
66
+ "eval_samples_per_second": 178.814,
67
+ "eval_steps_per_second": 22.629,
68
+ "step": 20
69
+ },
70
+ {
71
+ "epoch": 0.54,
72
+ "learning_rate": 2.3863636363636365e-05,
73
+ "loss": 0.3709,
74
+ "step": 24
75
+ },
76
+ {
77
+ "epoch": 0.57,
78
+ "eval_accuracy": 0.8759305210918115,
79
+ "eval_f1": 0.9097472924187726,
80
+ "eval_loss": 0.2923579812049866,
81
+ "eval_precision": 0.9333333333333333,
82
+ "eval_recall": 0.8873239436619719,
83
+ "eval_runtime": 2.1981,
84
+ "eval_samples_per_second": 183.339,
85
+ "eval_steps_per_second": 23.202,
86
+ "step": 25
87
+ },
88
+ {
89
+ "epoch": 0.68,
90
+ "eval_accuracy": 0.8734491315136477,
91
+ "eval_f1": 0.9119170984455959,
92
+ "eval_loss": 0.31794264912605286,
93
+ "eval_precision": 0.8949152542372881,
94
+ "eval_recall": 0.9295774647887324,
95
+ "eval_runtime": 2.3058,
96
+ "eval_samples_per_second": 174.779,
97
+ "eval_steps_per_second": 22.118,
98
+ "step": 30
99
+ },
100
+ {
101
+ "epoch": 0.73,
102
+ "learning_rate": 1.4772727272727274e-05,
103
+ "loss": 0.2614,
104
+ "step": 32
105
+ },
106
+ {
107
+ "epoch": 0.79,
108
+ "eval_accuracy": 0.8883374689826302,
109
+ "eval_f1": 0.9189189189189191,
110
+ "eval_loss": 0.26341748237609863,
111
+ "eval_precision": 0.940959409594096,
112
+ "eval_recall": 0.897887323943662,
113
+ "eval_runtime": 2.2107,
114
+ "eval_samples_per_second": 182.294,
115
+ "eval_steps_per_second": 23.069,
116
+ "step": 35
117
+ }
118
+ ],
119
+ "max_steps": 44,
120
+ "num_train_epochs": 1,
121
+ "total_flos": 97844423712000.0,
122
+ "trial_name": null,
123
+ "trial_params": null
124
+ }