Hugging Face's logo

Humor-Research
/
humor-detection-reddit-jokes-last-laught-977

Text Classification
Transformers
PyTorch
English
roberta
humor-detection
humor-classification
joke-detection
humor-vs-non-humor
binary-classification
english
nlp
computational-humor
Model card Files
xet
 Community
1
grammar-anarchist commited on
Commit
26a266c
·
1 Parent(s): eb06f12

Upload trainer_state.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. trainer_state.json +136 -0
trainer_state.json ADDED
@@ -0,0 +1,136 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5981315970420837,
3
+ "best_model_checkpoint": "./models/results_reddit_jokes_last_laught_977/checkpoint-100",
4
+ "epoch": 0.3292181069958848,
5
+ "global_step": 100,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.03,
12
+ "learning_rate": 4.000000000000001e-06,
13
+ "loss": 0.6957,
14
+ "step": 8
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 8.000000000000001e-06,
19
+ "loss": 0.701,
20
+ "step": 16
21
+ },
22
+ {
23
+ "epoch": 0.08,
24
+ "learning_rate": 1.2e-05,
25
+ "loss": 0.6919,
26
+ "step": 24
27
+ },
28
+ {
29
+ "epoch": 0.08,
30
+ "eval_accuracy": 0.6348684210526315,
31
+ "eval_f1": 0.7078947368421052,
32
+ "eval_loss": 0.680633544921875,
33
+ "eval_precision": 0.5899122807017544,
34
+ "eval_recall": 0.8848684210526315,
35
+ "eval_runtime": 4.4625,
36
+ "eval_samples_per_second": 136.246,
37
+ "eval_steps_per_second": 17.031,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.11,
42
+ "learning_rate": 1.6000000000000003e-05,
43
+ "loss": 0.6806,
44
+ "step": 32
45
+ },
46
+ {
47
+ "epoch": 0.13,
48
+ "learning_rate": 2e-05,
49
+ "loss": 0.6559,
50
+ "step": 40
51
+ },
52
+ {
53
+ "epoch": 0.16,
54
+ "learning_rate": 2.4e-05,
55
+ "loss": 0.5804,
56
+ "step": 48
57
+ },
58
+ {
59
+ "epoch": 0.16,
60
+ "eval_accuracy": 0.6726973684210527,
61
+ "eval_f1": 0.6816000000000001,
62
+ "eval_loss": 0.6261343955993652,
63
+ "eval_precision": 0.6635514018691588,
64
+ "eval_recall": 0.7006578947368421,
65
+ "eval_runtime": 4.3388,
66
+ "eval_samples_per_second": 140.13,
67
+ "eval_steps_per_second": 17.516,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.18,
72
+ "learning_rate": 2.8000000000000003e-05,
73
+ "loss": 0.6056,
74
+ "step": 56
75
+ },
76
+ {
77
+ "epoch": 0.21,
78
+ "learning_rate": 3.2000000000000005e-05,
79
+ "loss": 0.583,
80
+ "step": 64
81
+ },
82
+ {
83
+ "epoch": 0.24,
84
+ "learning_rate": 3.6e-05,
85
+ "loss": 0.5471,
86
+ "step": 72
87
+ },
88
+ {
89
+ "epoch": 0.25,
90
+ "eval_accuracy": 0.6595394736842105,
91
+ "eval_f1": 0.6688,
92
+ "eval_loss": 0.6323568224906921,
93
+ "eval_precision": 0.6510903426791277,
94
+ "eval_recall": 0.6875,
95
+ "eval_runtime": 4.5039,
96
+ "eval_samples_per_second": 134.993,
97
+ "eval_steps_per_second": 16.874,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 0.26,
102
+ "learning_rate": 4e-05,
103
+ "loss": 0.6175,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 0.29,
108
+ "learning_rate": 4.4000000000000006e-05,
109
+ "loss": 0.5454,
110
+ "step": 88
111
+ },
112
+ {
113
+ "epoch": 0.32,
114
+ "learning_rate": 4.75e-05,
115
+ "loss": 0.6143,
116
+ "step": 96
117
+ },
118
+ {
119
+ "epoch": 0.33,
120
+ "eval_accuracy": 0.662828947368421,
121
+ "eval_f1": 0.6944858420268256,
122
+ "eval_loss": 0.5981315970420837,
123
+ "eval_precision": 0.6348773841961853,
124
+ "eval_recall": 0.7664473684210527,
125
+ "eval_runtime": 4.4132,
126
+ "eval_samples_per_second": 137.768,
127
+ "eval_steps_per_second": 17.221,
128
+ "step": 100
129
+ }
130
+ ],
131
+ "max_steps": 303,
132
+ "num_train_epochs": 1,
133
+ "total_flos": 1683910754304000.0,
134
+ "trial_name": null,
135
+ "trial_params": null
136
+ }