DrishtiSharma commited on
Commit
01ff30f
·
1 Parent(s): 738b3ab

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +17 -0
  2. eval_results.json +17 -0
  3. trainer_state.json +154 -0
all_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro F1": 0.9900552839293133,
4
+ "eval_Macro Precision": 0.9899417522368342,
5
+ "eval_Macro Recall": 0.9903233151183971,
6
+ "eval_Micro F1": 0.990228013029316,
7
+ "eval_Micro Precision": 0.990228013029316,
8
+ "eval_Micro Recall": 0.990228013029316,
9
+ "eval_Weighted F1": 0.9902299179000704,
10
+ "eval_Weighted Precision": 0.9903711923255897,
11
+ "eval_Weighted Recall": 0.990228013029316,
12
+ "eval_accuracy": 0.990228013029316,
13
+ "eval_loss": 0.02071884274482727,
14
+ "eval_runtime": 0.6285,
15
+ "eval_samples_per_second": 488.442,
16
+ "eval_steps_per_second": 31.82
17
+ }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_Macro F1": 0.9900552839293133,
4
+ "eval_Macro Precision": 0.9899417522368342,
5
+ "eval_Macro Recall": 0.9903233151183971,
6
+ "eval_Micro F1": 0.990228013029316,
7
+ "eval_Micro Precision": 0.990228013029316,
8
+ "eval_Micro Recall": 0.990228013029316,
9
+ "eval_Weighted F1": 0.9902299179000704,
10
+ "eval_Weighted Precision": 0.9903711923255897,
11
+ "eval_Weighted Recall": 0.990228013029316,
12
+ "eval_accuracy": 0.990228013029316,
13
+ "eval_loss": 0.02071884274482727,
14
+ "eval_runtime": 0.6285,
15
+ "eval_samples_per_second": 488.442,
16
+ "eval_steps_per_second": 31.82
17
+ }
trainer_state.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.02071884274482727,
3
+ "best_model_checkpoint": "hateBERT-hate-offensive-normal-speech-lr-2e-05/checkpoint-765",
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 765,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 1.997385620915033e-05,
14
+ "loss": 1.2298,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 1.0,
19
+ "learning_rate": 1.6000000000000003e-05,
20
+ "loss": 0.6155,
21
+ "step": 153
22
+ },
23
+ {
24
+ "epoch": 1.0,
25
+ "eval_Macro F1": 0.9801385062748699,
26
+ "eval_Macro Precision": 0.9792887667887668,
27
+ "eval_Macro Recall": 0.9811135158920202,
28
+ "eval_Micro F1": 0.9804560260586319,
29
+ "eval_Micro Precision": 0.9804560260586319,
30
+ "eval_Micro Recall": 0.9804560260586319,
31
+ "eval_Weighted F1": 0.9804745709987049,
32
+ "eval_Weighted Precision": 0.9806165061865388,
33
+ "eval_Weighted Recall": 0.9804560260586319,
34
+ "eval_accuracy": 0.9804560260586319,
35
+ "eval_loss": 0.08891552686691284,
36
+ "eval_runtime": 0.6023,
37
+ "eval_samples_per_second": 509.742,
38
+ "eval_steps_per_second": 33.208,
39
+ "step": 153
40
+ },
41
+ {
42
+ "epoch": 2.0,
43
+ "learning_rate": 1.2e-05,
44
+ "loss": 0.0665,
45
+ "step": 306
46
+ },
47
+ {
48
+ "epoch": 2.0,
49
+ "eval_Macro F1": 0.9864455652898299,
50
+ "eval_Macro Precision": 0.9863515802256096,
51
+ "eval_Macro Recall": 0.9865779967663372,
52
+ "eval_Micro F1": 0.9869706840390879,
53
+ "eval_Micro Precision": 0.9869706840390879,
54
+ "eval_Micro Recall": 0.9869706840390879,
55
+ "eval_Weighted F1": 0.9869723989743543,
56
+ "eval_Weighted Precision": 0.9870087814541784,
57
+ "eval_Weighted Recall": 0.9869706840390879,
58
+ "eval_accuracy": 0.9869706840390879,
59
+ "eval_loss": 0.03681240230798721,
60
+ "eval_runtime": 0.5956,
61
+ "eval_samples_per_second": 515.439,
62
+ "eval_steps_per_second": 33.579,
63
+ "step": 306
64
+ },
65
+ {
66
+ "epoch": 3.0,
67
+ "learning_rate": 8.000000000000001e-06,
68
+ "loss": 0.0235,
69
+ "step": 459
70
+ },
71
+ {
72
+ "epoch": 3.0,
73
+ "eval_Macro F1": 0.9900552839293133,
74
+ "eval_Macro Precision": 0.9899417522368342,
75
+ "eval_Macro Recall": 0.9903233151183971,
76
+ "eval_Micro F1": 0.990228013029316,
77
+ "eval_Micro Precision": 0.990228013029316,
78
+ "eval_Micro Recall": 0.990228013029316,
79
+ "eval_Weighted F1": 0.9902299179000704,
80
+ "eval_Weighted Precision": 0.9903711923255897,
81
+ "eval_Weighted Recall": 0.990228013029316,
82
+ "eval_accuracy": 0.990228013029316,
83
+ "eval_loss": 0.026355858892202377,
84
+ "eval_runtime": 0.5997,
85
+ "eval_samples_per_second": 511.883,
86
+ "eval_steps_per_second": 33.347,
87
+ "step": 459
88
+ },
89
+ {
90
+ "epoch": 4.0,
91
+ "learning_rate": 4.000000000000001e-06,
92
+ "loss": 0.0182,
93
+ "step": 612
94
+ },
95
+ {
96
+ "epoch": 4.0,
97
+ "eval_Macro F1": 0.9864518923933833,
98
+ "eval_Macro Precision": 0.9863981943454503,
99
+ "eval_Macro Recall": 0.9868510928961749,
100
+ "eval_Micro F1": 0.9869706840390879,
101
+ "eval_Micro Precision": 0.9869706840390879,
102
+ "eval_Micro Recall": 0.9869706840390879,
103
+ "eval_Weighted F1": 0.9869741119043762,
104
+ "eval_Weighted Precision": 0.9872893357881319,
105
+ "eval_Weighted Recall": 0.9869706840390879,
106
+ "eval_accuracy": 0.9869706840390879,
107
+ "eval_loss": 0.04140869900584221,
108
+ "eval_runtime": 0.5943,
109
+ "eval_samples_per_second": 516.568,
110
+ "eval_steps_per_second": 33.653,
111
+ "step": 612
112
+ },
113
+ {
114
+ "epoch": 5.0,
115
+ "learning_rate": 0.0,
116
+ "loss": 0.012,
117
+ "step": 765
118
+ },
119
+ {
120
+ "epoch": 5.0,
121
+ "eval_Macro F1": 0.9900552839293133,
122
+ "eval_Macro Precision": 0.9899417522368342,
123
+ "eval_Macro Recall": 0.9903233151183971,
124
+ "eval_Micro F1": 0.990228013029316,
125
+ "eval_Micro Precision": 0.990228013029316,
126
+ "eval_Micro Recall": 0.990228013029316,
127
+ "eval_Weighted F1": 0.9902299179000704,
128
+ "eval_Weighted Precision": 0.9903711923255897,
129
+ "eval_Weighted Recall": 0.990228013029316,
130
+ "eval_accuracy": 0.990228013029316,
131
+ "eval_loss": 0.02071884274482727,
132
+ "eval_runtime": 0.6008,
133
+ "eval_samples_per_second": 510.999,
134
+ "eval_steps_per_second": 33.29,
135
+ "step": 765
136
+ },
137
+ {
138
+ "epoch": 5.0,
139
+ "step": 765,
140
+ "total_flos": 717066286251840.0,
141
+ "train_loss": 0.1479466404011047,
142
+ "train_runtime": 81.9262,
143
+ "train_samples_per_second": 149.403,
144
+ "train_steps_per_second": 9.338
145
+ }
146
+ ],
147
+ "logging_steps": 500,
148
+ "max_steps": 765,
149
+ "num_train_epochs": 5,
150
+ "save_steps": 500,
151
+ "total_flos": 717066286251840.0,
152
+ "trial_name": null,
153
+ "trial_params": null
154
+ }